This study aims to model climate change based on rainfall, air temperature, pressure, humidity and wind with grADS software and create a global warming module. This research uses 3D model, define, design, and develop. The results of the modeling of the five climate elements consist of the annual average temperature in Indonesia in 2009-2015 which is between 29oC to 30.1oC, the horizontal distribution of the annual average pressure in Indonesia in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution the average annual humidity in Indonesia in 2009 and 2011 ranged between 27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East Monsoon, the wind circulation moved from northern Indonesia to the southern region Indonesia. During the west monsoon, the wind circulation moves from the southern part of Indonesia to the northern part of Indonesia. The global warming module for SMA/MA produced is feasible to use, this is in accordance with the value given by the validate of 69 which is in the appropriate category and the response of teachers and students through a 91% questionnaire.
GIS Technology in Environmental Protection: Research Directions Based on Lite...EdytaSierka
Polish Journal of Environmental Studies, 2012
This article is designed to identify research directions in application of GIS technology in environmental protection through a literature review. Critical analysis has been used to determine the thematic scope and structure of environmental protection, while bibliometric study identifies research directions. The selection of journals to be investigated is based on journal profiles and scientific prestige, together with analyses of selected articles. Two groups of journals are studied for the period 2007 through 2009. The journals Ecological Engineering, Environmental Research, and Remote Sensing of the Environment are studied in the range of environmental protection and Computers & Geosciences, the International Journal of Applied Earth Observation and Geoinformation, and Photogrammetric Engineering & Remote Sensing are in the range of GIS technology.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Android mobile application for wildfire reporting and monitoringriyaniaes
Peat fires cause major environmental problems in Central Kalimantan Province, Indonesia and threaten human health and effect the social-economic sector. The lack of peat fire detection systems is one factor that causing these reoccurring fires. Therefore, in this study, we develop an Android mobile platform application and a web-based application to support the citizen-volunteers who want to contribute wildfires reports, and the decision-makers who wish to collect, visualize, and evaluate these wildfires reports. In this paper, the global navigation satellite system (GNSS) and a global position system (GPS) sensor from a smartphone’s camera, is a useful tool to show the potential fire and smoke’s close-range location. The exchangeable image (EXIF) file image and GPS metadata captured by a mobile phone can store and supply raw observation to our devices and sent it to the data center through global internet communication. This work’s results are the proposed application easy-to-use to monitoring potential peat fire by location and data activity. This paper focuses on developing an application for the mobile platform for peat fire reporting and a web-based application to collect peat fire location for decision-makers. Our main objective is to detect the potential and spread of fire in peatlands as early as possible by utilizing community reports using smartphones.
Effects Of Using Gagne’s Learning Hierarchy On Chemistry Students’ Academic A...IOSR Journals
This study investigates the Effects of Using Gagne’s Learning Hierarchy on Chemistry Students’ Academic Achievement and Anxiety level in Balancing Chemical Equations in Secondary Schools. The study sample used 100 SSII students randomly selected from two Senior Secondary Schools in Katsina Metropolis. The two schools were randomly placed as experimental and control groups each with 50 students. A quasi-experimental pretest-posttest research design was used for the study. The study subjects in the experimental group were taught using Gagne’s learning hierarchy, while the control group was taught using lecture method for the period of six weeks. Two instruments; Balancing Chemical Equation Achievement Test (BCEAT), and Students’ Anxiety Scale Questionnaire (SASQ) with reliability coefficient of 0.79 and 0.78 respectively, were used to collect data for the study. Performances of the two groups were compared using their posttest mean scores. The major findings from the study are: Students taught using Gagne’s learning hierarchy recorded high academic achievement than those taught using to lecture method. The anxiety level of students taught using Gagne’s learning hierarchy tended to be low when compared with students taught using lecture method. Based on the findings, the following recommendations were made: Chemistry teachers should as much as possible arranges concepts taught in Chemistry hierarchically so that students can learn the simple concepts which will help their understanding of abstract or complex concepts.
The purpose of this research is produce learning set equipment on heat material of ethnoscience based in Tegal district, The results showed that the feasibility of syllabus-based ethnoscience include into the category is very good because it has a percentage of 96,43%. The feasibility learning device of an ethnoscience-based into a very good category because it has a percentage of 91,37%. Ethnoscience-based learning tool able to improve student learning outcomes from the average value of 42,82 to 80,06 and the gains value 0,65. While the questionnaire of student’s learning interest after the application of physics learning device on ethnoscience based heat material in Kabupaten tegal get the average value 3,01 with the high criteria.
The aim of this study is to determine the ecological literacy ability of prospective teachers at Sebelas Maret University (UNS). This research was conducted on students at the Faculty of Teacher Training and Education (FKIP) UNS Surakarta. The subjects of the study used two courses that gave the ecology course namely Biology Education Study Program and Geography Education Study Program. Subjects in both Study Programs are devoted who are already or are currently receiving ecological subjects. The number of subjects in two study programs were 98 students. Research subjects were taken by stratified random sampling technique. Qualitative descriptive technique is used to analyze each component of ecological literacy. The results showed that the average value of ecological literacy and the value of each component of the students' ecology literacy is still low. Provision of less than optimal ecology concept to be one factor that causes low ecological literacy of student.
GIS Technology in Environmental Protection: Research Directions Based on Lite...EdytaSierka
Polish Journal of Environmental Studies, 2012
This article is designed to identify research directions in application of GIS technology in environmental protection through a literature review. Critical analysis has been used to determine the thematic scope and structure of environmental protection, while bibliometric study identifies research directions. The selection of journals to be investigated is based on journal profiles and scientific prestige, together with analyses of selected articles. Two groups of journals are studied for the period 2007 through 2009. The journals Ecological Engineering, Environmental Research, and Remote Sensing of the Environment are studied in the range of environmental protection and Computers & Geosciences, the International Journal of Applied Earth Observation and Geoinformation, and Photogrammetric Engineering & Remote Sensing are in the range of GIS technology.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
Android mobile application for wildfire reporting and monitoringriyaniaes
Peat fires cause major environmental problems in Central Kalimantan Province, Indonesia and threaten human health and effect the social-economic sector. The lack of peat fire detection systems is one factor that causing these reoccurring fires. Therefore, in this study, we develop an Android mobile platform application and a web-based application to support the citizen-volunteers who want to contribute wildfires reports, and the decision-makers who wish to collect, visualize, and evaluate these wildfires reports. In this paper, the global navigation satellite system (GNSS) and a global position system (GPS) sensor from a smartphone’s camera, is a useful tool to show the potential fire and smoke’s close-range location. The exchangeable image (EXIF) file image and GPS metadata captured by a mobile phone can store and supply raw observation to our devices and sent it to the data center through global internet communication. This work’s results are the proposed application easy-to-use to monitoring potential peat fire by location and data activity. This paper focuses on developing an application for the mobile platform for peat fire reporting and a web-based application to collect peat fire location for decision-makers. Our main objective is to detect the potential and spread of fire in peatlands as early as possible by utilizing community reports using smartphones.
Effects Of Using Gagne’s Learning Hierarchy On Chemistry Students’ Academic A...IOSR Journals
This study investigates the Effects of Using Gagne’s Learning Hierarchy on Chemistry Students’ Academic Achievement and Anxiety level in Balancing Chemical Equations in Secondary Schools. The study sample used 100 SSII students randomly selected from two Senior Secondary Schools in Katsina Metropolis. The two schools were randomly placed as experimental and control groups each with 50 students. A quasi-experimental pretest-posttest research design was used for the study. The study subjects in the experimental group were taught using Gagne’s learning hierarchy, while the control group was taught using lecture method for the period of six weeks. Two instruments; Balancing Chemical Equation Achievement Test (BCEAT), and Students’ Anxiety Scale Questionnaire (SASQ) with reliability coefficient of 0.79 and 0.78 respectively, were used to collect data for the study. Performances of the two groups were compared using their posttest mean scores. The major findings from the study are: Students taught using Gagne’s learning hierarchy recorded high academic achievement than those taught using to lecture method. The anxiety level of students taught using Gagne’s learning hierarchy tended to be low when compared with students taught using lecture method. Based on the findings, the following recommendations were made: Chemistry teachers should as much as possible arranges concepts taught in Chemistry hierarchically so that students can learn the simple concepts which will help their understanding of abstract or complex concepts.
The purpose of this research is produce learning set equipment on heat material of ethnoscience based in Tegal district, The results showed that the feasibility of syllabus-based ethnoscience include into the category is very good because it has a percentage of 96,43%. The feasibility learning device of an ethnoscience-based into a very good category because it has a percentage of 91,37%. Ethnoscience-based learning tool able to improve student learning outcomes from the average value of 42,82 to 80,06 and the gains value 0,65. While the questionnaire of student’s learning interest after the application of physics learning device on ethnoscience based heat material in Kabupaten tegal get the average value 3,01 with the high criteria.
The aim of this study is to determine the ecological literacy ability of prospective teachers at Sebelas Maret University (UNS). This research was conducted on students at the Faculty of Teacher Training and Education (FKIP) UNS Surakarta. The subjects of the study used two courses that gave the ecology course namely Biology Education Study Program and Geography Education Study Program. Subjects in both Study Programs are devoted who are already or are currently receiving ecological subjects. The number of subjects in two study programs were 98 students. Research subjects were taken by stratified random sampling technique. Qualitative descriptive technique is used to analyze each component of ecological literacy. The results showed that the average value of ecological literacy and the value of each component of the students' ecology literacy is still low. Provision of less than optimal ecology concept to be one factor that causes low ecological literacy of student.
Planning and Techniques Process and Methods for Survey and Research in Relati...ijtsrd
Believe that climate has a pronounced impact on human psychology and temperament. The four days of modern sociology and evaluation suggested that proper climatic conditions were the main requirement it and main stimulus for the development of civilization. In recent years, human has struggled to become independent it off climate Western human has established permanent research statics in Antarctica and Greenland and has built cities on the equator. Through the use of this technology, he has separated the climate within buildings from that outside even factories are air conditioned. Planning and techniques process and methods for survey and research in in relation to climatic impact of natural element on human and calling system, add lite and a habitable building anywhere. Primitive human left according to Sun. Has fuel was wood, the product of photosynthesis in this on time. His food he gathered himself during daylight, is ford was the product daylight. Is shelter in whatever Design resided was belt to use the desired natural elements and sailed out the excess. He lived in balance and with the natural processes and elements. The consideration man may best use the natural processes and element in in housing and insight design. To the extent that the natural elements considered in modern landscape architecture by contrast, positive approach to natural processes elements and factors are able to how natural processes elements and factors are to be utilized and emphasized to a greater extent by site planning and site design and manipulation of site element. The decision is made the greater will be that saving in energy and greater the possibility of utilization of natural energy sources such as solar radiation for natural heating and utilization of natural wind flow patterns for less energy expensive cooling and heating. Dr. Mukesh Kumar Lalji "Planning and Techniques Process and Methods for Survey and Research in Relation to Climatic Impact of Natural Element on Human" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45246.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/environmental-science/45246/planning-and-techniques-process-and-methods-for-survey-and-research-in-relation-to-climatic-impact-of-natural-element-on-human/dr-mukesh-kumar-lalji
Resource Guide for Advanced Learning on Predicting and Projecting Climate ChangeUN CC:Learn
This resource guide contains a wealth of learning resources on predicting and projecting climate change available that have been identified as important from a country perspective. It includes first guide which directs a user to specific learning materials and courses, as well as selected reference materials relevant for learning. This guide is a part of the UN CC:Learn Series of Resources Guides for Advanced Learning on Climate Change.
Remote sensing and geographic information systems technics for spatial-based...IJECEIAES
Indonesia's land-use and land-cover change (LULCC) is a global concern. The relocation plan of the capital city of Indonesia to East Kalimantan will be becoming an environmental issue. Knowing the latest land cover change modeling and prediction research is essential for fundamental knowledge in spatial planning and policies for regional development. Five articles related to integrated technology of geographic information systems (GIS) and remote sensing for spatial modeling were reviewed and compared using nine variables: title, journal (ranks), keywords, objectives, data sources, variables, location, method, and main findings. The results show that the variables that significantly affect LULCC are height, slope, distance from the road, and distance from the built-up area. The artificial neural network-based cellular automata (ANN-CA) method could be the best approach to model the LULCC. Furthermore, by the current availability of global multi-temporal and multi-sensor remote sensing data, the LULCC modeling study can be limitless.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Remote sensing and GIS application for monitoring drought vulnerability in In...riyaniaes
Agricultural drought is one of the hydrometeorological disasters that cause significant losses because it affects food stocks. In addition, agricultural droughts, impact the physical and socio-economic development of the community. Remote sensing technology is used to monitor agricultural droughts spatially and temporally for minimizing losses. This study reviewed the literatures related to remote sensing and GIS for monitoring drought vulnerability in Indonesia. The study was conducted on an island-scale on Java Island, a provincial-scale in East Java and Bali, and a district-scale in Indramayu and Kebumen. The dominant method was the drought index, which involves variable land surface temperature (LST), vegetation index, land cover, wetness index, and rainfall. Each study has a strong point and a weak point. Low-resolution satellite imagery has been used to assess drought vulnerability. At the island scale, it provides an overview of drought conditions, while at the provincial scale, it focuses on paddy fields and has little detailed information. In-situ measurements at the district scale detect meteorological drought accurately, but there were limitations in the mapping unit's detailed information. Drought mapping using GIS and remote sensing at the district scale has detailed spatial information on climate and physiographic aspects, but it needs temporal data monitoring.
Thermal comfort conditions of urban spaces in a hot-humid climate of Chiangma...Manat Srivanit
Thermal comfort conditions of urban spaces in a hot-humid climate of Chiangmai city, Thailand
Manat Srivanit 1, Sudarat Auttarat 2
1 Faculty of Architecture and Planning, Thammasat University, Thailand
2 Social Research Institute (SRI), Chiangmai University, Thailand
source: http://www.meteo.fr/icuc9/
An Investigation of Weather Forecasting using Machine Learning TechniquesDr. Amarjeet Singh
Customarily, climate expectations are performed with the assistance of enormous complex models of material science, which use distinctive air conditions throughout a significant stretch of time. In this paper, we studied a climate expectation strategy that uses recorded information from numerous climate stations to prepare basic AI models, which can give usable figures about certain climate conditions for the not so distant future inside a brief timeframe These conditions are frequently flimsy on account of annoyances of the climate framework, making the models give mistaken estimates.[1] The model are for the most part run on many hubs in an enormous High Performance Computing (HPC) climate which burns through a lot of energy.. The modes can be run on significantly less asset serious conditions. In this paper we describe that the sufficient to be utilized status of the workmanship methods. Moreover, we described that it is valuable to use the climate stations information from various adjoining territories over the information of just the region for which climate anticipating is being performed.
Square transposition: an approach to the transposition process in block cipherjournalBEEI
The transposition process is needed in cryptography to create a diffusion effect on data encryption standard (DES) and advanced encryption standard (AES) algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called square transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and the retrieval scheme that have unequal flow is an important factor in producing a good transposition. The square transposition can generate random and non-pattern indices so that transposition can be done better than DES and AES.
Hyper-parameter optimization of convolutional neural network based on particl...journalBEEI
Deep neural networks have accomplished enormous progress in tackling many problems. More specifically, convolutional neural network (CNN) is a category of deep networks that have been a dominant technique in computer vision tasks. Despite that these deep neural networks are highly effective; the ideal structure is still an issue that needs a lot of investigation. Deep Convolutional Neural Network model is usually designed manually by trials and repeated tests which enormously constrain its application. Many hyper-parameters of the CNN can affect the model performance. These parameters are depth of the network, numbers of convolutional layers, and numbers of kernels with their sizes. Therefore, it may be a huge challenge to design an appropriate CNN model that uses optimized hyper-parameters and reduces the reliance on manual involvement and domain expertise. In this paper, a design architecture method for CNNs is proposed by utilization of particle swarm optimization (PSO) algorithm to learn the optimal CNN hyper-parameters values. In the experiment, we used Modified National Institute of Standards and Technology (MNIST) database of handwritten digit recognition. The experiments showed that our proposed approach can find an architecture that is competitive to the state-of-the-art models with a testing error of 0.87%.
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Planning and Techniques Process and Methods for Survey and Research in Relati...ijtsrd
Believe that climate has a pronounced impact on human psychology and temperament. The four days of modern sociology and evaluation suggested that proper climatic conditions were the main requirement it and main stimulus for the development of civilization. In recent years, human has struggled to become independent it off climate Western human has established permanent research statics in Antarctica and Greenland and has built cities on the equator. Through the use of this technology, he has separated the climate within buildings from that outside even factories are air conditioned. Planning and techniques process and methods for survey and research in in relation to climatic impact of natural element on human and calling system, add lite and a habitable building anywhere. Primitive human left according to Sun. Has fuel was wood, the product of photosynthesis in this on time. His food he gathered himself during daylight, is ford was the product daylight. Is shelter in whatever Design resided was belt to use the desired natural elements and sailed out the excess. He lived in balance and with the natural processes and elements. The consideration man may best use the natural processes and element in in housing and insight design. To the extent that the natural elements considered in modern landscape architecture by contrast, positive approach to natural processes elements and factors are able to how natural processes elements and factors are to be utilized and emphasized to a greater extent by site planning and site design and manipulation of site element. The decision is made the greater will be that saving in energy and greater the possibility of utilization of natural energy sources such as solar radiation for natural heating and utilization of natural wind flow patterns for less energy expensive cooling and heating. Dr. Mukesh Kumar Lalji "Planning and Techniques Process and Methods for Survey and Research in Relation to Climatic Impact of Natural Element on Human" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd45246.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/environmental-science/45246/planning-and-techniques-process-and-methods-for-survey-and-research-in-relation-to-climatic-impact-of-natural-element-on-human/dr-mukesh-kumar-lalji
Resource Guide for Advanced Learning on Predicting and Projecting Climate ChangeUN CC:Learn
This resource guide contains a wealth of learning resources on predicting and projecting climate change available that have been identified as important from a country perspective. It includes first guide which directs a user to specific learning materials and courses, as well as selected reference materials relevant for learning. This guide is a part of the UN CC:Learn Series of Resources Guides for Advanced Learning on Climate Change.
Remote sensing and geographic information systems technics for spatial-based...IJECEIAES
Indonesia's land-use and land-cover change (LULCC) is a global concern. The relocation plan of the capital city of Indonesia to East Kalimantan will be becoming an environmental issue. Knowing the latest land cover change modeling and prediction research is essential for fundamental knowledge in spatial planning and policies for regional development. Five articles related to integrated technology of geographic information systems (GIS) and remote sensing for spatial modeling were reviewed and compared using nine variables: title, journal (ranks), keywords, objectives, data sources, variables, location, method, and main findings. The results show that the variables that significantly affect LULCC are height, slope, distance from the road, and distance from the built-up area. The artificial neural network-based cellular automata (ANN-CA) method could be the best approach to model the LULCC. Furthermore, by the current availability of global multi-temporal and multi-sensor remote sensing data, the LULCC modeling study can be limitless.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Remote sensing and GIS application for monitoring drought vulnerability in In...riyaniaes
Agricultural drought is one of the hydrometeorological disasters that cause significant losses because it affects food stocks. In addition, agricultural droughts, impact the physical and socio-economic development of the community. Remote sensing technology is used to monitor agricultural droughts spatially and temporally for minimizing losses. This study reviewed the literatures related to remote sensing and GIS for monitoring drought vulnerability in Indonesia. The study was conducted on an island-scale on Java Island, a provincial-scale in East Java and Bali, and a district-scale in Indramayu and Kebumen. The dominant method was the drought index, which involves variable land surface temperature (LST), vegetation index, land cover, wetness index, and rainfall. Each study has a strong point and a weak point. Low-resolution satellite imagery has been used to assess drought vulnerability. At the island scale, it provides an overview of drought conditions, while at the provincial scale, it focuses on paddy fields and has little detailed information. In-situ measurements at the district scale detect meteorological drought accurately, but there were limitations in the mapping unit's detailed information. Drought mapping using GIS and remote sensing at the district scale has detailed spatial information on climate and physiographic aspects, but it needs temporal data monitoring.
Thermal comfort conditions of urban spaces in a hot-humid climate of Chiangma...Manat Srivanit
Thermal comfort conditions of urban spaces in a hot-humid climate of Chiangmai city, Thailand
Manat Srivanit 1, Sudarat Auttarat 2
1 Faculty of Architecture and Planning, Thammasat University, Thailand
2 Social Research Institute (SRI), Chiangmai University, Thailand
source: http://www.meteo.fr/icuc9/
An Investigation of Weather Forecasting using Machine Learning TechniquesDr. Amarjeet Singh
Customarily, climate expectations are performed with the assistance of enormous complex models of material science, which use distinctive air conditions throughout a significant stretch of time. In this paper, we studied a climate expectation strategy that uses recorded information from numerous climate stations to prepare basic AI models, which can give usable figures about certain climate conditions for the not so distant future inside a brief timeframe These conditions are frequently flimsy on account of annoyances of the climate framework, making the models give mistaken estimates.[1] The model are for the most part run on many hubs in an enormous High Performance Computing (HPC) climate which burns through a lot of energy.. The modes can be run on significantly less asset serious conditions. In this paper we describe that the sufficient to be utilized status of the workmanship methods. Moreover, we described that it is valuable to use the climate stations information from various adjoining territories over the information of just the region for which climate anticipating is being performed.
Similar to Modeling climate phenomenon with software grids analysis and display system in the development of the global warming module (20)
Square transposition: an approach to the transposition process in block cipherjournalBEEI
The transposition process is needed in cryptography to create a diffusion effect on data encryption standard (DES) and advanced encryption standard (AES) algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called square transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and the retrieval scheme that have unequal flow is an important factor in producing a good transposition. The square transposition can generate random and non-pattern indices so that transposition can be done better than DES and AES.
Hyper-parameter optimization of convolutional neural network based on particl...journalBEEI
Deep neural networks have accomplished enormous progress in tackling many problems. More specifically, convolutional neural network (CNN) is a category of deep networks that have been a dominant technique in computer vision tasks. Despite that these deep neural networks are highly effective; the ideal structure is still an issue that needs a lot of investigation. Deep Convolutional Neural Network model is usually designed manually by trials and repeated tests which enormously constrain its application. Many hyper-parameters of the CNN can affect the model performance. These parameters are depth of the network, numbers of convolutional layers, and numbers of kernels with their sizes. Therefore, it may be a huge challenge to design an appropriate CNN model that uses optimized hyper-parameters and reduces the reliance on manual involvement and domain expertise. In this paper, a design architecture method for CNNs is proposed by utilization of particle swarm optimization (PSO) algorithm to learn the optimal CNN hyper-parameters values. In the experiment, we used Modified National Institute of Standards and Technology (MNIST) database of handwritten digit recognition. The experiments showed that our proposed approach can find an architecture that is competitive to the state-of-the-art models with a testing error of 0.87%.
Supervised machine learning based liver disease prediction approach with LASS...journalBEEI
In this contemporary era, the uses of machine learning techniques are increasing rapidly in the field of medical science for detecting various diseases such as liver disease (LD). Around the globe, a large number of people die because of this deadly disease. By diagnosing the disease in a primary stage, early treatment can be helpful to cure the patient. In this research paper, a method is proposed to diagnose the LD using supervised machine learning classification algorithms, namely logistic regression, decision tree, random forest, AdaBoost, KNN, linear discriminant analysis, gradient boosting and support vector machine (SVM). We also deployed a least absolute shrinkage and selection operator (LASSO) feature selection technique on our taken dataset to suggest the most highly correlated attributes of LD. The predictions with 10 fold cross-validation (CV) made by the algorithms are tested in terms of accuracy, sensitivity, precision and f1-score values to forecast the disease. It is observed that the decision tree algorithm has the best performance score where accuracy, precision, sensitivity and f1-score values are 94.295%, 92%, 99% and 96% respectively with the inclusion of LASSO. Furthermore, a comparison with recent studies is shown to prove the significance of the proposed system.
A secure and energy saving protocol for wireless sensor networksjournalBEEI
The research domain for wireless sensor networks (WSN) has been extensively conducted due to innovative technologies and research directions that have come up addressing the usability of WSN under various schemes. This domain permits dependable tracking of a diversity of environments for both military and civil applications. The key management mechanism is a primary protocol for keeping the privacy and confidentiality of the data transmitted among different sensor nodes in WSNs. Since node's size is small; they are intrinsically limited by inadequate resources such as battery life-time and memory capacity. The proposed secure and energy saving protocol (SESP) for wireless sensor networks) has a significant impact on the overall network life-time and energy dissipation. To encrypt sent messsages, the SESP uses the public-key cryptography’s concept. It depends on sensor nodes' identities (IDs) to prevent the messages repeated; making security goals- authentication, confidentiality, integrity, availability, and freshness to be achieved. Finally, simulation results show that the proposed approach produced better energy consumption and network life-time compared to LEACH protocol; sensors are dead after 900 rounds in the proposed SESP protocol. While, in the low-energy adaptive clustering hierarchy (LEACH) scheme, the sensors are dead after 750 rounds.
Plant leaf identification system using convolutional neural networkjournalBEEI
This paper proposes a leaf identification system using convolutional neural network (CNN). This proposed system can identify five types of local Malaysia leaf which were acacia, papaya, cherry, mango and rambutan. By using CNN from deep learning, the network is trained from the database that acquired from leaf images captured by mobile phone for image classification. ResNet-50 was the architecture has been used for neural networks image classification and training the network for leaf identification. The recognition of photographs leaves requested several numbers of steps, starting with image pre-processing, feature extraction, plant identification, matching and testing, and finally extracting the results achieved in MATLAB. Testing sets of the system consists of 3 types of images which were white background, and noise added and random background images. Finally, interfaces for the leaf identification system have developed as the end software product using MATLAB app designer. As a result, the accuracy achieved for each training sets on five leaf classes are recorded above 98%, thus recognition process was successfully implemented.
Customized moodle-based learning management system for socially disadvantaged...journalBEEI
This study aims to develop Moodle-based LMS with customized learning content and modified user interface to facilitate pedagogical processes during covid-19 pandemic and investigate how teachers of socially disadvantaged schools perceived usability and technology acceptance. Co-design process was conducted with two activities: 1) need assessment phase using an online survey and interview session with the teachers and 2) the development phase of the LMS. The system was evaluated by 30 teachers from socially disadvantaged schools for relevance to their distance learning activities. We employed computer software usability questionnaire (CSUQ) to measure perceived usability and the technology acceptance model (TAM) with insertion of 3 original variables (i.e., perceived usefulness, perceived ease of use, and intention to use) and 5 external variables (i.e., attitude toward the system, perceived interaction, self-efficacy, user interface design, and course design). The average CSUQ rating exceeded 5.0 of 7 point-scale, indicated that teachers agreed that the information quality, interaction quality, and user interface quality were clear and easy to understand. TAM results concluded that the LMS design was judged to be usable, interactive, and well-developed. Teachers reported an effective user interface that allows effective teaching operations and lead to the system adoption in immediate time.
Understanding the role of individual learner in adaptive and personalized e-l...journalBEEI
Dynamic learning environment has emerged as a powerful platform in a modern e-learning system. The learning situation that constantly changing has forced the learning platform to adapt and personalize its learning resources for students. Evidence suggested that adaptation and personalization of e-learning systems (APLS) can be achieved by utilizing learner modeling, domain modeling, and instructional modeling. In the literature of APLS, questions have been raised about the role of individual characteristics that are relevant for adaptation. With several options, a new problem has been raised where the attributes of students in APLS often overlap and are not related between studies. Therefore, this study proposed a list of learner model attributes in dynamic learning to support adaptation and personalization. The study was conducted by exploring concepts from the literature selected based on the best criteria. Then, we described the results of important concepts in student modeling and provided definitions and examples of data values that researchers have used. Besides, we also discussed the implementation of the selected learner model in providing adaptation in dynamic learning.
Prototype mobile contactless transaction system in traditional markets to sup...journalBEEI
One way to prevent and reduce the spread of the covid-19 pandemic is through physical distancing program. This research aims to develop a prototype contactless transaction system using digital payment mechanisms and QR code technology that will be applied in traditional markets. The method used in the development of electronic market systems is a prototype approach. The application of QR code and digital payments are used as a solution to minimize money exchange contacts that are common in traditional markets. The results showed that the system built was able to accelerate and facilitate the buying and selling transaction process in traditional market environment. Alpha testing shows that all functional systems are running well. Meanwhile, beta testing shows that the user can very well accept the system that was built. The results of the study also show acceptance of the usefulness of the system being built, as well as the optimism of its users to be able to take advantage of this system both technologically and functionally, so its can be a part of the digital transformation of the traditional market to the electronic market and has become one of the solutions in reducing the spread of the current covid-19 pandemic.
Wireless HART stack using multiprocessor technique with laxity algorithmjournalBEEI
The use of a real-time operating system is required for the demarcation of industrial wireless sensor network (IWSN) stacks (RTOS). In the industrial world, a vast number of sensors are utilised to gather various types of data. The data gathered by the sensors cannot be prioritised ahead of time. Because all of the information is equally essential. As a result, a protocol stack is employed to guarantee that data is acquired and processed fairly. In IWSN, the protocol stack is implemented using RTOS. The data collected from IWSN sensor nodes is processed using non-preemptive scheduling and the protocol stack, and then sent in parallel to the IWSN's central controller. The real-time operating system (RTOS) is a process that occurs between hardware and software. Packets must be sent at a certain time. It's possible that some packets may collide during transmission. We're going to undertake this project to get around this collision. As a prototype, this project is divided into two parts. The first uses RTOS and the LPC2148 as a master node, while the second serves as a standard data collection node to which sensors are attached. Any controller may be used in the second part, depending on the situation. Wireless HART allows two nodes to communicate with each other.
Implementation of double-layer loaded on octagon microstrip yagi antennajournalBEEI
A double-layer loaded on the octagon microstrip yagi antenna (OMYA) at 5.8 GHz industrial, scientific and medical (ISM) Band is investigated in this paper. The double-layer consist of two double positive (DPS) substrates. The OMYA is overlaid with a double-layer configuration were simulated, fabricated and measured. A good agreement was observed between the computed and measured results of the gain for this antenna. According to comparison results, it shows that 2.5 dB improvement of the OMYA gain can be obtained by applying the double-layer on the top of the OMYA. Meanwhile, the bandwidth of the measured OMYA with the double-layer is 14.6%. It indicates that the double-layer can be used to increase the OMYA performance in term of gain and bandwidth.
The calculation of the field of an antenna located near the human headjournalBEEI
In this work, a numerical calculation was carried out in one of the universal programs for automatic electro-dynamic design. The calculation is aimed at obtaining numerical values for specific absorbed power (SAR). It is the SAR value that can be used to determine the effect of the antenna of a wireless device on biological objects; the dipole parameters will be selected for GSM1800. Investigation of the influence of distance to a cell phone on radiation shows that absorbed in the head of a person the effect of electromagnetic radiation on the brain decreases by three times this is a very important result the SAR value has decreased by almost three times it is acceptable results.
Exact secure outage probability performance of uplinkdownlink multiple access...journalBEEI
In this paper, we study uplink-downlink non-orthogonal multiple access (NOMA) systems by considering the secure performance at the physical layer. In the considered system model, the base station acts a relay to allow two users at the left side communicate with two users at the right side. By considering imperfect channel state information (CSI), the secure performance need be studied since an eavesdropper wants to overhear signals processed at the downlink. To provide secure performance metric, we derive exact expressions of secrecy outage probability (SOP) and and evaluating the impacts of main parameters on SOP metric. The important finding is that we can achieve the higher secrecy performance at high signal to noise ratio (SNR). Moreover, the numerical results demonstrate that the SOP tends to a constant at high SNR. Finally, our results show that the power allocation factors, target rates are main factors affecting to the secrecy performance of considered uplink-downlink NOMA systems.
Design of a dual-band antenna for energy harvesting applicationjournalBEEI
This report presents an investigation on how to improve the current dual-band antenna to enhance the better result of the antenna parameters for energy harvesting application. Besides that, to develop a new design and validate the antenna frequencies that will operate at 2.4 GHz and 5.4 GHz. At 5.4 GHz, more data can be transmitted compare to 2.4 GHz. However, 2.4 GHz has long distance of radiation, so it can be used when far away from the antenna module compare to 5 GHz that has short distance in radiation. The development of this project includes the scope of designing and testing of antenna using computer simulation technology (CST) 2018 software and vector network analyzer (VNA) equipment. In the process of designing, fundamental parameters of antenna are being measured and validated, in purpose to identify the better antenna performance.
Transforming data-centric eXtensible markup language into relational database...journalBEEI
eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.
Key performance requirement of future next wireless networks (6G)journalBEEI
Given the massive potentials of 5G communication networks and their foreseeable evolution, what should there be in 6G that is not in 5G or its long-term evolution? 6G communication networks are estimated to integrate the terrestrial, aerial, and maritime communications into a forceful network which would be faster, more reliable, and can support a massive number of devices with ultra-low latency requirements. This article presents a complete overview of potential 6G communication networks. The major contribution of this study is to present a broad overview of key performance indicators (KPIs) of 6G networks that cover the latest manufacturing progress in the environment of the principal areas of research application, and challenges.
Noise resistance territorial intensity-based optical flow using inverse confi...journalBEEI
This paper presents the use of the inverse confidential technique on bilateral function with the territorial intensity-based optical flow to prove the effectiveness in noise resistance environment. In general, the image’s motion vector is coded by the technique called optical flow where the sequences of the image are used to determine the motion vector. But, the accuracy rate of the motion vector is reduced when the source of image sequences is interfered by noises. This work proved that the inverse confidential technique on bilateral function can increase the percentage of accuracy in the motion vector determination by the territorial intensity-based optical flow under the noisy environment. We performed the testing with several kinds of non-Gaussian noises at several patterns of standard image sequences by analyzing the result of the motion vector in a form of the error vector magnitude (EVM) and compared it with several noise resistance techniques in territorial intensity-based optical flow method.
An approach of re-organizing input dataset to enhance the quality of emotion ...journalBEEI
The purpose of this paper is to propose an approach of re-organizing input data to recognize emotion based on short signal segments and increase the quality of emotional recognition using physiological signals. MIT's long physiological signal set was divided into two new datasets, with shorter and overlapped segments. Three different classification methods (support vector machine, random forest, and multilayer perceptron) were implemented to identify eight emotional states based on statistical features of each segment in these two datasets. By re-organizing the input dataset, the quality of recognition results was enhanced. The random forest shows the best classification result among three implemented classification methods, with an accuracy of 97.72% for eight emotional states, on the overlapped dataset. This approach shows that, by re-organizing the input dataset, the high accuracy of recognition results can be achieved without the use of EEG and ECG signals.
Parking detection system using background subtraction and HSV color segmentationjournalBEEI
Manual system vehicle parking makes finding vacant parking lots difficult, so it has to check directly to the vacant space. If many people do parking, then the time needed for it is very much or requires many people to handle it. This research develops a real-time parking system to detect parking. The system is designed using the HSV color segmentation method in determining the background image. In addition, the detection process uses the background subtraction method. Applying these two methods requires image preprocessing using several methods such as grayscaling, blurring (low-pass filter). In addition, it is followed by a thresholding and filtering process to get the best image in the detection process. In the process, there is a determination of the ROI to determine the focus area of the object identified as empty parking. The parking detection process produces the best average accuracy of 95.76%. The minimum threshold value of 255 pixels is 0.4. This value is the best value from 33 test data in several criteria, such as the time of capture, composition and color of the vehicle, the shape of the shadow of the object’s environment, and the intensity of light. This parking detection system can be implemented in real-time to determine the position of an empty place.
Quality of service performances of video and voice transmission in universal ...journalBEEI
The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.
A multi-task learning based hybrid prediction algorithm for privacy preservin...journalBEEI
There is ever increasing need to use computer vision devices to capture videos as part of many real-world applications. However, invading privacy of people is the cause of concern. There is need for protecting privacy of people while videos are used purposefully based on objective functions. One such use case is human activity recognition without disclosing human identity. In this paper, we proposed a multi-task learning based hybrid prediction algorithm (MTL-HPA) towards realising privacy preserving human activity recognition framework (PPHARF). It serves the purpose by recognizing human activities from videos while preserving identity of humans present in the multimedia object. Face of any person in the video is anonymized to preserve privacy while the actions of the person are exposed to get them extracted. Without losing utility of human activity recognition, anonymization is achieved. Humans and face detection methods file to reveal identity of the persons in video. We experimentally confirm with joint-annotated human motion data base (JHMDB) and daily action localization in YouTube (DALY) datasets that the framework recognises human activities and ensures non-disclosure of privacy information. Our approach is better than many traditional anonymization techniques such as noise adding, blurring, and masking.
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
Presented at NUS: Fuzzing and Software Security Summer School 2024
This keynote talks about the democratization of fuzzing at scale, highlighting the collaboration between open source communities, academia, and industry to advance the field of fuzzing. It delves into the history of fuzzing, the development of scalable fuzzing platforms, and the empowerment of community-driven research. The talk will further discuss recent advancements leveraging AI/ML and offer insights into the future evolution of the fuzzing landscape.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.
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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Halogenation process of chemical process industries
Modeling climate phenomenon with software grids analysis and display system in the development of the global warming module
1. Bulletin of Electrical Engineering and Informatics
Vol. 10, No. 6, December 2021, pp. 3228~3239
ISSN: 2302-9285, DOI: 10.11591/eei.v10i6.3201 3228
Journal homepage: http://beei.org
Modeling climate phenomenon with software grids analysis and
display system in the development of the global warming
module
Afrizal Mayub1
, Leni Hendraini2
, Henny Johan3
, Fahmizal4
, Rendy Wikrama Wardana5
1,3,5
Graduate School of Science Education, University of Bengkulu, Indonesia
2
MAN 1 Lubuklinggau, Indonesia
4
Vocational College, Universitas Gadjah Mada, Indonesia
Article Info ABSTRACT
Article history:
Received Jul 23, 2020
Revised Feb 3, 2021
Accepted Oct 23, 2021
This study aims to model climate change based on rainfall, air temperature,
pressure, humidity and wind with grADS software and create a global
warming module. This research uses 3D model, define, design, and develop.
The results of the modeling of the five climate elements consist of the annual
average temperature in Indonesia in 2009-2015 which is between 29o
C to
30.1oC, the horizontal distribution of the annual average pressure in Indonesia
in 2009-2018 is between 800 mBar to 1000 mBar, the horizontal distribution
the average annual humidity in Indonesia in 2009 and 2011 ranged between
27-57, in 2012-2015, 2017 and 2018 it ranged between 30-60, during the East
Monsoon, the wind circulation moved from northern Indonesia to the southern
region Indonesia. During the west monsoon, the wind circulation moves from
the southern part of Indonesia to the northern part of Indonesia. The global
warming module for SMA/MA produced is feasible to use, this is in
accordance with the value given by the validate of 69 which is in the
appropriate category and the response of teachers and students through a 91%
questionnaire.
Keywords:
Climate
Global
Modeling
Warming
This is an open access article under the CC BY-SA license.
Corresponding Author:
Afrizal Mayub
Graduate School of Science Education
University of Bengkulu, Indonesia
Email: afrizalmayub@unib.ac.id
1. INTRODUCTION
Physics is a branch of science, which studies natural phenomena, the causes of phenomena, and the
effects of phenomena. Natural phenomena in climate change include rainfall, air temperature, pressure,
humidity and wind. So that natural phenomena can be easily understood, it is necessary to model the
phenomena through software grids analysis and display system (grADS), an interactive software that is used
to easily manipulate and visualize earth science data [1], [2]. Based on the research it can be seen that, the
analysis of the phenomenon of climate change and the characteristics of extreme rainfall in the city of
Makassar shows that the rainfall in Makassar city is a monsoonal pattern. For 20 years (1993-2012) the
extreme rainfall of Makassar city occurred in January, February, March and December. The highest extreme
rainfall occurred in 2000 of 376 mm/day. The highest annual rainfall occurred in 1999 amounted to 4722 mm
and the lowest rainfall occurred in 1997 amounted to 1991 mm. Makassar's lowest average monthly
temperatures occur in January, February, March and December while the highest temperatures occur in May-
October [3], [4]. Similar research in Bali shows that; The climate on the island of Bali in general has
changed. The climate type based on Schmidt-Ferguson changes from relatively wet to rather dry. Average
2. Bulletin of Electr Eng & Inf ISSN: 2302-9285
Modeling climate phenomenon with software grids analysis and display system in the … (Afrizal Mayub)
3229
monthly air temperatures and monthly and annual rainfall have a tendency to increase. Wet and dry months
have experienced a shift and change in number [5]. Changes in the Indonesian climate zone using koppen
classification are changes in climate elements such as temperature, pressure, humidity, rain, wind to normal
conditions [6]. Changes in climate elements are likely to result in changes in climate zoning [7], [8].
Therefore, this study tries to see variations in climate zoning changes in each province in Indonesia in the
period 2009 to 2018 (10 years). The Köppenclimate classification is used to determine climate zoning in 33 provinces
in Indonesia based on rainfall, temperature, and distribution of vegetation. From the data it is known that the average
air temperature in Indonesia is always above 18o
C throughout the year, so Indonesia is certain to have climate type A.
Generally, Indonesia experiences rain throughout the year, has a tropical rain forest climate type (Af).
Climate zone changes only occurred in Central Java and West Nusa Tenggara, which experienced a change from Am
and Aw to Af and Am in the second period, but returned to Am and Aw in the third period. From the results of this
study, it can be concluded that the variation in climatic zones in Indonesia is more influenced by rainfall than air
temperature [9]. Based on field observations of physics teaching materials in SMA/MA, it was found that there was
physics learning related to natural phenomena, namely global warming material contained in the basic competencies
of class XI competency expectations>70% and the teaching materials used had to be integrated with scientific facts,
so that students did not having difficulty analyzing a problem critically related to natural phenomena. Based on the
background described above, the author feels the need to conduct research on weather phenomenon modeling with
GrADS software for global warming module development. Therefore, the problem is formulated as follows; How to
model climate change based on rainfall, air temperature, pressure, humidity and wind? Is the global warming module
feasible to use? In order for this research to be a solution to the problems faced, the research objectives were set; 1)
making climate change models based on rainfall, air temperature, pressure, humidity and wind, 2) generating and
describing the feasibility of the global warming module.
2. RESEARCH METHOD
Explaining research chronological, including research design, research procedure (in the form of
algorithms, Pseudocode or other), how to test and data acquisition. The description of the course of research
should be supported references, so the explanation can be accepted scientifically. This research includes
research and development, referring to the 4-D model that was modified into 3D consisting of define, design,
and develop [10]. The study population used climate elements data for the last 10 years in the Indonesian
study area. To explain the phenomenon of climated change the data is processed using GrADS software. The
population to test the feasibility of the global warming module is used by students and physics teachers at
MA Negeri 1 Lubuklinggau class XI. Sampling uses a purposive sampling technique, the technique of
determining the sample based on the needs of the research so that the sample uses class XII science 1
students amounted to 32 students. The confidence level used is 95% and the margin of error is 5%.
2.1. Define stage
This stage is useful for determining and discussing the needs of making the global warming module and
gathering various information related to the product being developed. Through interviews and field observations at
MA 2 Lubuklinggau, the learning process undertaken is not in accordance with the expectations of educational
competency standards with the 21st century and the 4.0 revolution era. The indicators found teaching materials used
have not been integrated into actual scientific facts, so students have difficulty in analyzing the actual problems
critically. One of the physics lessons that discuss natural phenomena is the global material contained in the elementary
competency (KD) class XI semester 2 [11]. From the above analysis it can be concluded that the learning media
consisting of the global warming module has not been suitable for use in learning, while the learning module is
unsuccessful for learning [12], because it is felt necessary to create a global warming module that models without
distrust using application of analysis grids software and display systems (graduates).
2.2. Design stage
The design phase includes climate elements obtained from satellite data, then processed using the
GrADS software, which aims to explain the patterns of climate change. The results of data processing are
presented in the form of a model. The elements of climate change include, air temperature, air pressure,
humidity, rainfall and wind direction. Furthermore, the global warming module was compiled focusing on
the realization of the module development design based on modeling using grADS software.
2.3. Develop stage
2.3.1. Feasibility test of the global warming module
To test the feasibility of the global warming module required expert validation, teacher and student
response questionnaires, and post test cognitive learning outcomes of students after using the module. The
module developed was validated by two expert lecturers, and one Physics teacher. Lecturers who validate are
3. ISSN: 2302-9285
Bulletin of Electr Eng & Inf, Vol. 10, No. 6, December 2021 : 3228 – 3239
3230
physics lecturers in the Physics Education study program of FKIP UNIB, while teachers who validate are
physics teachers at MA Negeri 1 LubukLinggau. The validate provides a quantitative and qualitative
assessment on the validation sheet. The format of expert lecturers, physics teachers is as shown in Table 1.
The validation data from the validate to the module is analyzed by the average score. The percentage results
are obtained through calculations with the following formula as described in (1).
Percentage% =
Σ score questionnaire rating)
Σmaximum score
𝑥100 (1)
where: Σ questionnaire assessment score=number of scores of answers selected, Σ maximum score=number of
questionnaire items x questionnaire maximum score [13]. Product assessment qualifications can be seen in Table 2.
Table 1. Assessment of expert lecturers and teacher
Products
assessed
Expert
lecturer
1
Expert
lecturer
2
Physics
teacher
Average
Remark
s
Module 65 68 75 69 worthy
Pre-test-post
test Instrument
64 65 80 70 worthy
Table 2. Product rating qualifications
Achievement
(100%)
Qualification Remarks
67-100 Very Eligible No need for revision
33-66 Worthy Revision
0-32 Not Worthy Revision
2.3.2. Teacher and student response analysis techniques
To see teacher and student responses to the global warming module, questionnaires and tests were
used. The questionnaires were given to teachers and students, while the tests carried out by students, both
questionnaires and tests before being used, were tested for validity and reliability. After the questionnaire and
test instruments were declared valid and reliable, they were tested on the research subjects. Reject the
research like in Table 3.
Q is a critical thinking ability test instrument to obtain quantitative data on student responses to the
global warming module, using a scale of 0-100, the number of questions is 8 items followed by 32 students.
Whereas a questionnaire using a list of questions was given to students and teachers who asked for approval
or disagreement on each statement item submitted. Tests and questionnaires contain global warming module
material which contains indicators of students' abilities in analyzing global warming symptoms, explaining
the global warming process, explaining the causes of the greenhouse effect, explaining the effects of global
warming and analyzing ways to overcome global warming.
2.3.3. Analysis of student responses through tests
Quantitative student response data were obtained through the analysis of increasing students' critical
thinking skills using the normalized Ngain concept based on pretest and posttest score data. Normalized gain is
the difference between the normalized pretest and posttest scores. The calculations developed by Hake
(1999) in Mayub [13] as shown in (2).
𝑁𝑔𝑎𝑖𝑛 =
𝑆𝑝𝑜𝑠𝑡−𝑆𝑝𝑟𝑒
𝑆𝑚𝑎𝑥−𝑆𝑝𝑟𝑒
(2)
The N-gain score obtained was used to see the increase in critical thinking skills before being given
treatment and after being given the action so that the student response score was obtained. The N-gain scores
are classified into high, medium, and low categories as can be seen in Table 4. Overall student responses
were analyzed using posttest scores with criteria such as in Table 5.
Table 3. Learning module trial design
Pretest Treatment Posttest
Q
The teacher teaches using
the global warming
module
Q
Table 4. Ngain classification
Category of gain N-gain Remarks
0.70 <N-gain High
0.30 ≤ N-gain≤ 0.70 Moderate
0.30>N-gain Low
2.3.4. Teacher and student response
Teacher and student responses are processed by calculating the percentage of the number of
respondents who give approval or disagreement with each item of the statement submitted. The calculation
uses the formula PTR (%)=JR/JSR x100% [14]. PTR (%) is the percentage of respondents to a response, JR
is the number of respondents in a response and JSR=the number of all respondents. Interpretation of the
percentage of respondents to a response used the criteria as shown in Table 6.
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Table 5. The value of the results of the student
response analysis based on the post-test scores
Post test scores of students (N) Criteria
N=0 Nobody
0 < N < 25 As a small
25 ≤ N < 50 Mostly
N=50 In part
50 < N< 75 Most of the
75 ≤ N < 100 Almost all
N=100 All of it
Table 6. Criteria for number of respondents to a
response
PTR (in %) Post test score (N) Criteria
R=0 N=0 Nobody
0 < R < 25 0 < N < 25 As a small
25 ≤ R < 50 25 ≤ N < 50 Mostly
R=50 N=50 In part
50 < R < 75 50 < N < 75 Most of the
75 ≤ R < 100 75 ≤ N < 100 Almost all
R=100 N=100 All of it
PTR is number of respondents in a response to the program and
its implementations (%)
3. RESULTS AND ANALYSIS
3.1. Modeling elements of weather change
After conducting the define phase, and the design through interviews and field observations in MAN
1 Lubuklinggau it was found that the teaching materials used were not integrated with actual scientific facts,
therefore learning media in the form of the global warming module needed to be held, climate elements data
were obtained from Satellite data, then processed using the GrADS software, which aims to explain patterns
of climate change. The results of data processing are presented in the form of modeling.
3.1.1. Temperature
Temperature is the degree of heat of an object, after the data is processed, Figure 1 shows a graph of the
temperature from 2009 to 2018 and the horizontal distribution of temperature in 2009 is given by Figure 2.
Figure 1. Air temperature in 2009-2018
Figure 2. Horizontal distribution of the average temperature in 2009. The red color shows the maximum
temperature and the purple color shows the minimum temperature
On the left y-axis shows the position of north latitude (N), equator (EQ) and south latitude (S) while
the right y-axis shows temperature (o
C). The x-axis shows the horizontal position on the equator (E) or the
position on the east longitude. Based on Figure 2 Indonesia is located at 6o
N -11o
S and 95o
E -141o
E.
From Figure 2 it can be seen that; the horizontal distribution of the average annual temperature in
Indonesia in 2009 ranged from 29.2o
C to 30.1o
C while the minimum temperature distribution mostly
occurred in the western part of Indonesia, including Sumatra Island, Kalimantan Island, Sulawesi, Indian
Ocean, South China Sea and Papua ranges from 29.2o
C to 29.8o
C. While the maximum temperature is spread
over the Java Sea and Pacific Ocean around 30.1o
C. Based on Figure 2, it can be seen that the lowest
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temperature in the mountains of Papua is purple, this is according to the geographical location, the West
Coast of Sumatra, North Kalimantan, Sulawesi and Papua are hill and mountainous areas so that the
temperature of these areas tends to be low. This finding is in accordance with the opinion of Trenberth [15]
that air temperature is the degree of hot and cold air in the atmosphere and its magnitude is inversely
proportional to the height of a place. Based on its distribution on earth, air temperature can be divided into
two, namely horizontal and vertical distribution. The temperature of the air on the earth's surface is relative,
depending on the factors that influence it, such as the duration of the sun's rays [16]. This can have a direct
impact on changes in temperature in the air. This is in accordance with research that has been carried out by
researchers using data from satellites.
The horizontal distribution of annual average temperatures in Indonesia in 2010-2015 and 2018
ranged from 29o
C to 30.1o
C while in 2016 and 2017 it ranged from 29.1o
C to 30.2o
C. From 2009 to 2015, the
distribution of minimum temperatures mostly occurred in the western part of Indonesia, including Sumatra
Island, Kalimantan Island, Sulawesi, Indian Ocean, South China Sea and Papua. While the maximum
temperature is spread over the Java Sea and the Pacific Ocean. In 2016, the maximum temperature
distribution occurred in almost all parts of Indonesia, including the Indian Ocean, South China Sea, Pacific
Ocean, Java Sea and Banda Sea. Mean while, in 2017 the maximum temperature was only distributed in the
Banda Sea and Pacific Ocean, which means that the temperature began to decrease compared to 2016. The
horizontal distribution of the annual average temperature in Indonesia in 2009-2018 can be seen in Table 7.
3.1.2. Pressure
The rate of temperature change is directly proportional to the rate of change in air pressure. When
the temperature of an area decreases, the air pressure will go down too. The higher a region the air pressure
will decrease, this is because air has layers and each layer has a different molecular density. The higher a
region, the lower the molecular density. The horizontal distribution of air pressure can be seen in Figure 3.
Figure 3. Horizontal distribution of annual average pressure in 2009
On the left y-axis shows the position of N, EQ and S while the right y-axis shows pressure (Pa). The x-
axis shows the horizontal position on the E or the position on the east longitude. Based on Figure 3 the horizontal
distribution of the annual average pressure in Indonesia in 2009 ranged from 80000 Pa to 100000 Pa or 800 mBar
to 1000 mBar, as well as for 2010-2018 it was relatively the same. This difference in pressure causes wind to
occur. This finding is in line with the opinion of experts who say that; moving air caused by rotation of the earth
and also because of differences in air pressure around it. The wind moves from a place of high pressure to low
pressure air [17]. This is consistent with what researchers did in modeling the average annual pressure above.
Based on color, the West Coast of Sumatra, North Kalimantan, Sulawesi and Papua have low temperatures so that
the air pressure in these areas is also low. On the West Coast of Sumatra, air pressure ranges from 960 mBar-920
mBar, in Kalimantan it ranges from 960 mBar-900 mBar, in Sulawesi it ranges from 960 mBar-880 mBar and in
Papua it ranges from 960 mBar-800 mBar. Furthermore, the horizontal distribution of annual average pressure for
10 years (2009-2018) can be seen in Table 8.
3.1.3. Humidity
Air humidity is the level of wetness of the air, the amount of water vapor in the gas mixture between
air and water vapor. The amount of water vapor in the air is only a small part of the atmosphere, about 2% of
the mass. The unit of humidity commonly used is relative humidity (RH). RH is a unit of measurement that
represents the number of water droplets in the air at a certain temperature compared to the maximum number
of water droplets that can be contained in the air at that temperature. RH is expressed as a percentage value.
But this amount is not constant, varies between 0-5% [18]. This is consistent with the results of the study that
we can see in Figure 4.
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Table 7. Horizontal distribution of the average
annual maximum temperature and minimum annual
average temperature in Indonesia in 2009-2018
No Year Temperature (o
C)
1 2009 29.0-30.1
2 2010 29.0-30.1
3 2011 29.0-30.1
4 2012 29.0-30.1
5 2013 29.0-30.1
6 2014 29.0-30.1
7 2015 29.0-30.1
8 2016 29.1-30.2
9 2017 29.1-30.2
10 2018 29.0-30.1
Table 8. Horizontal distribution of
annual mean pressure over 10 years
(2009-2018)
No Year Average Pressure (Pa)
1 2009 80000-10000
2 2010 80000-10000
3 2011 80000-10000
4 2012 80000-10000
5 2013 80000-10000
6 2014 80000-10000
7 2015 80000-10000
8 2016 80000-10000
9 2017 80000-10000
10 2018 80000-10000
Figure 4. Horizontal distribution of annual average humidity years 2009
On the left y-axis shows the position of N, EQ and S while the right y-axis shows RH. The x-axis
shows the horizontal position at the E or the position on the east longitude. Based on Figure 4, the moisture
distribution has the same pattern as the temperature and air pressure distribution. When the temperature and
pressure decrease, the humidity decreases and vice versa when the temperature and pressure increase, the
humidity rises. Horizontal distribution of annual average humidity in Indonesia in 2009, 2010 and 2011
ranged between 27-57, 2012-2015, 2017 and 2018 ranged from 30-60 and in 2016 ranged from 30-57 RH,
see Table 9. The minimum value of air humidity is in the West Coast of Sumatra, North Kalimantan,
Sulawesi and Papua. Air humidity in the West Coast region ranges from 45-51, North Kalimantan ranges
from 39-51, Sulawesi ranges from 45-51 and Papua ranges from 33-51 (air humidity unit). The high humidity
of the sea area is due to the very high evaporation process that occurs above the sea. This is supported by the
theory that under normal conditions, temperature, air pressure and humidity tend to be comparable [19].
3.1.4. Rainfall
Rainfall is the amount of rain water that falls at a certain time, its measurement uses the unit height of
millimeters (mm) above the horizontal ground surface which is assumed to not occur infiltration, run off, or
evaporation. The amount of rainfall is the volume of water collected on the surface of a flat area at a certain period
(daily, weekly, monthly, or yearly). Rainfall is also interpreted as the height of rain water that is collected in a flat,
non-evaporating, non-absorbing and non-flowing place [20]. The distribution of rainfall obtained in 2009 is shown in
Figure 5. While the distribution of the average rainfall in 2009 to 2018 ranges from, in 2009 30 ml/sec-57 ml/sec, in
2010 33 ml/sec-43 ml/sec, in 2011 27 ml/sec-57 ml/sec, in 2012 and 2013 33 ml/s-60 ml/s and from 2014 to 2018, 30
ml/c-60 ml/s, can be seen in Table 10. Rainfall is high in the marine and southern regions of Indonesia.
Figure 5. Horizontal distribution of annual average rainfall years 2009
On the left y-axis shows the position of N, EQ and S while the right y-axis shows rainfall (ml/s).
The x-axis shows the horizontal position at the E or the position on the east longitude.
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Table 9. Horizontal distribution of annual
average humidity for 10 years (2009-2018)
No Year Average Humidity (RH)
1 2009 27-57
2 2010 27-57
3 2011 27-57
4 2012 30-60
5 2013 30-60
6 2014 30-60
7 2015 30-60
8 2016 30-57
9 2017 30-60
10 2018 30-60
Tabel 10. Horizontal distribution of annual
average rainfall for 10 years (2009-2018)
No Year Average Rainfall (ml/s)
1 2009 30-57
2 2010 33-43
3 2011 27-57
4 2012 30-60
5 2013 30-60
6 2014 30-60
7 2015 30-60
8 2016 30-60
9 2017 30-60
10 2018 30-60
3.1.5. Wind directions
During the eastern monsoon (December, January, February), temperatures in the northern part of
Indonesia (South China Sea, Pacific Ocean, Sumatra, Kalimantan and Sulawesi region) ranged from 29.7o
C
to 30.1o
C lower than the southern part of Indonesia. which has a maximum temperature of 30.2o
C. At the
time of the West Monsoon (June, July, August) the maximum temperature is in the North of Indonesia (Java
Sea, South China Sea, Pacific Ocean) with a temperature of 30.2o
C and the temperature of the South
Indonesia region of 29.8o
C. The temperature distribution at the time of East Monsoon and West Monsoon can
be seen in Figure 6 (a) and Figure 6 (b). The 2016 East and West Monsoon Circulation Patterns can be seen
in Figure 7 (a) and Figure 7 (b).
(a) (b)
Figure 6. Temperature during; (a) the east monsoon in 2016, (b) the west monsoon in 2016
(a) (b)
Figure 7. Wind circulation patterns during; (a) the east monsoon in 2016, (b) the west monsoon in 2016
The temperature distribution affects the circulation pattern, the amount of rainfall in an area, because
temperature affects the humidity of the air, so that when the water vapor in the clouds reaches the maximum
amount, it will fall to the earth to become rain, therefore the rate of humidity is proportional to the amount of
rainfall. The sea area plays a role in the high humidity value. In the east season (December, January,
February) the humidity in Indonesia ranges from 33-60 and is scattered throughout Indonesia. From a study it
was found that; climate change which does not change the climate which consists of temperature, pressure,
humidity, rain, and wind becomes normal conditions. This fact is proven from 102 years of air temperature
data, showing that; Throughout the year, the average air temperature in Indonesia is always above 25.4o
C.
The average temperature increased from 25.6o
C in the early 1900s to around 26o
C by the end of the 20th
century. The first period (1901-1934) the average was 25.8o
C. The second period (1935-1968) had an
average of 25.7o
C. While the third period (1969-2003) the annual average air temperature rose to above 26o
C.
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In the first period there was a continuation pattern between the test rainfall and SOI, after a positive
SOI (El Nino) event, followed by a decrease in rainfall and a negative SOI (La Nina), followed by an
increase in rainfall. In the second period, the SOI value changes very often so that the rainfall anomaly graph
fluctuates. In the third period, extreme ENSO events occurred more frequently and were followed by rain.
The average air temperature in Indonesia is always above 18o
C throughout the year, so Indonesia already has
a class A climate type. Therefore, regions in Indonesia are included in the Af, Am or Aw subgroups.
Indonesia's air temperature has increased a maximum of 0.7o
C per year, while the maximum increase in
rainfall is 565 mm per year. Most of Indonesia experiences rainfall throughout the year or has a tropical
rainforest climate type (Af), except in southern Indonesia which is relatively drier or Munson climate type
and savanna climate (Am and Aw). Climate zoning changes in the second period which is different from the
first and third periods. There are similarities and differences between previous studies and this study, the
same thing lies in the variables studied, namely rainfall and temperature. The difference lies in the method
used, the previous study used the Köppen climate classification [21], while this study used the GrADS
software. Previous researchers used data from the climatic research unit (CRU) while this study used data
from satellite data. Based on previous research, rainfall is a climatic element that is very influential on
climate change [22], [23]. Meanwhile, this study found that all elements of climate have a significant
influence on climate change, but some have a large effect and some have a small effect. The five elements of
climate are interrelated, it can be seen from the color of the region in the modeling. The temperature in North
Kalimantan, West Coast Sumatra and Sulawesi ranges from 29.5o
C to 29.8o
C. The temperature in Papua
ranges from 29.1o
C to 29.8o
C. The regions of North Kalimantan, the West Coast of Sumatra, Sulawesi and
Papua are hilly and mountainous areas with relatively low temperatures. The distribution of the average
rainfall for 20 years (2009-2018) can be seen in Table 11. While the graph of max and min rainfall looks like
in Figure 8.
Table 11. Distribution of average rainfall in 2009 to 2018
No Year Average rainfall (ml/sec)
1 2009 30-57
2 2010 33-43
3 2011 27-57
4 2012 33-60
5 2013 33-60
6 2014-2018 30-60
Figure 8. Graph of max rainfall and min
Humidity in Indonesia during the east season between 33-60 and spread throughout Indonesia, this
is due to the influence of climate elements on climate change, but the effect is uneven, because some have a
big influence and some have an effect small, so it can be seen that the color of the region in the modeling is
relatively different. Based on the research it was found that; (1) The annual average temperature in Indonesia
in 2009-2015 and 2018 ranged from 29o
C to 30.1o
C while in 2016 and 2017 it ranged from 29.1o
C to 30.2o
C
increased by 0.1o
C. This is due to Indonesia's position which allows it to receive more sunlight than other
regions. Topography also greatly affects temperature. The higher the area, the lower the temperature. The
horizontal distribution of mean annual pressure in Indonesia in 2009-2018 ranges from 80000 Pa to 100000
Pa or 800 mBar to 1000 mBar. On the West Coast of Sumatra, the air pressure ranges from 960 mBar-920
mBar, the Kalimantan area ranges from 960 mBar-900 mBar, the Sulawesi region ranges from 960 mBar-880
mBar and the Papua region ranges from 960 mBar-800 mBar. The temperature distribution affects the surface
pressure distribution, because the rate of change in pressure is proportional to the rate of change in
temperature. the factors affecting the air pressure distribution are the same as those affecting the temperature.
The higher an area, the lower the air pressure, this is because air has layers and each layer has a different
molecular density. This is what causes climate change that is not the same in every region, (2) The horizontal
distribution of average annual humidity in Indonesia in 2009 and 2011 ranges from 27-57, 2012-2015, 2017
and 2018 ranges from 30-60 and in 2016 ranges from 30-57 RH. The humidity in the West Coast ranges from
45-51 RH, North Kalimantan ranges from 39-51 RH, Sulawesi ranges from 45-51 RH and Papua ranges from
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33-51 RH. The sea area has high air humidity which causes climate change. because the evaporation process
that occurs above the sea is higher, (3) Rainfall in 2009 30 ml/s- 57 ml/s, in 2010 33 ml/s-43 ml/s, in 2011
27 ml/s-57 ml/s, in 2012 and 2013 33 ml/s-60 ml/s and from 2014 to 2018 30 ml/s-60 ml/s. High rainfall in
the sea and southern regions of Indonesia. Because the distribution of rainfall is directly proportional to the
distribution of air humidity, (4) The difference in temperature between northern Indonesia and southern
Indonesia during the east season and the west season. In the east season, the wind circulation moves from
northern Indonesia to southern Indonesia. In the west monsoon, the wind circulation moves from southern
Indonesia to northern Indonesia, this is due to the fact that the wind is an air mass moving from low-
temperature areas to high-temperature areas. Based on the research results, it is known that the weather
characteristics in 2009-2018 are shown in Table 12.
Table 12. The weather characteristics of 2009-20018
No Year Average Temperature (o
C) Average Pressure (mBar) Average Humidity (RH) Average Rainfall (ml/s)
1 2009 29.0-30.1 800 27-57 30-57
2 2010 29.0-30.1 800 27-57 33-43
3 2011 29.0-30.1 800 27-57 27-57
4 2012 29.0-30.1 800 30-60 30-60
5 2013 29.0-30.1 800 30-60 30-60
6 2014 29.0-30.1 800 30-60 30-60
7 2015 29.0-30.1 800 30-60 30-60
8 2016 29.1-30.2 800 30-57 30-60
9 2017 29.1-30.2 800 30-60 30-60
10 2018 29.0-30.1 800 30-60 30-60
Based on Table 12, it can be seen that the weather conditions in Indonesia for 10 years from
2009-2018 are relatively stable, including the wind direction, this can be used by farmers and fishermen as a
guide for starting the planting period and time to go to sea, although there are certain exceptions (anomalies)
when changes seasons that need to be anticipated in advance.
3.2. Feasibility of the global warming module
3.2.1. Module format
The module format consists of the title page, module identity, preface, table of contents, table list,
list of pictures, module description, module instructions, competencies achieved, concept map, learning
activities, evaluation, bibliography.
3.2.2. Module validation results
Based on Tables 13 and Tables 14, it can be seen that; the average score given by lecturers and teachers to
the global warming module and the pre-test post-test material, respectively 69 and 70, are in the very eligible category.
Table 13. Assessment by lecturers and teachers
Products
assessed
lecture
r 1
lecturer
2
Physics teacher Average Remarks
Module 65 68 75 69
Very
Eligible
a matter of
pretest-posttest
64 65 80 70
Very
Eligible
Table 14. Product rating qualifications
Achieveme
nt (100%)
Qualification Remarks
67-100 Very Eligible
No need for
revision
33-66 Worthy Revision
0-32 Not feasible Revision
3.2.3. Teacher and student responses
Student response analysis is obtained by using post-test questions. Analysis of the feasibility of the
module to improve students' thinking abilities is determined by counting the number of students who
achieved the highest post-test score. The value of the results of the analysis of student responses based on the
post-test scores can be seen in Table 15. While the analysis of student responses based on increasing students'
critical thinking skills can be seen in Table 16.
Table 15. Value of the results of the student response analysis based on the post-test scores
No question Value (%) Remarks No question Value (%) Remarks
1 81.2 Almost all of it 5 78.1 Almost all of it
2 71.9 Most of the 6 65.6 Most of the
3 71.9 Most of the 7 87.5 Almost all of it
4 68.8 Most of the 8 75.0 Almost all of it
Based on the value of the highest student response seen in question number 7 with a value of 87.5
with the criteria that almost all students responded to the material that had been given while the lowest
student response score was located in question number 6 with a value of 65.6. The criteria for a meaningful
value most of the students responded to the material that had been given. Thus, it can be stated that almost all
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students respond very well to the modules used in learning. In addition, it was also found that; Based on the
concept of normalized Ngain value using pre-test and post-test score data, the average Ngainvalue is 0.7025,
which means that the student's response to module use is in the high category.
Table 16. Analysis of student responses based on the improvement of students' critical thinking skills
No
Pre test Posttest Value N-gain
score interpretation score interpretation score interpretation
1 14.0 low 81.2 high 0.78 high
2 15.4 low 71.9 moderate 0.67 moderate
3 16.3 low 71.9 moderate 0.64 moderate
4 14.4 low 68.8 moderate 0.64 moderate
5 14.0 low 78.1 high 0.75 high
6 15.0 low 65.6 moderate 0.59 moderate
7 15.0 low 87.5 high 0.85 high
8 14.0 low 75.0 moderate 0.70 moderate
average 14.7 low 75.0 high 0.7025 high
3.2.4. Teacher and student response analysis obtained by using a questionnaire
Table 17 shows the value of teacher and student responses on average by 91.0% with the
interpretation "almost entirely", it can be concluded that, the response of teachers and students to the global
warming module said that; almost all teachers and students agree and are eligible to use the global warming
module. Module feasibility analysis to improve students' thinking abilities is determined by counting the
number of students who achieve the highest post-test scores. Based on the highest student response value
seen in problem number 7 with a value of 87.5 with the criteria almost all students respond to the material
that has been given while the lowest student response value lies in problem number 6 with a value of 65.6
criteria value of most students respond to the material that has been given.
Table 17. Value data response of teachers and students based on questionnaires
No question
Teacher and student
JR in (%) Criteria
1 93.8 Almost all
2 90.6 Almost all
3 89.8 Almost all
4 88.3 Almost all
5 92.9 Almost all
6 86.7 Almost all
7 95.3 Almost all
8 90.6 Almost all
average 91.0 Almost all
Thus, it can be stated that almost all students respond very well to the modules provided by
researchers. This also shows that students are able to think critically. This finding is in line with theories that say
critical is a persistent effort to test something that is believed to be true or knowledge with supporting evidence
so that further conclusions can be drawn right. Critical thinkers can produce important questions and problems,
formulate clearly, gather and assess relevant information, use ideas that are abstract, think with a broad view
and communicate effectively [24], [25]. Thus, it can be stated that the students 'post-test scores using the global
warming module show that students' critical thinking skills are very good, can be applied to the learning of
global warming material. This finding is in line with other findings which say Critical thinking enables students
to study problems systematically, face millions of challenges in an organized way, formulate innovative
questions, and design solutions [26], [27]. Cognitive skills, critical thinking skills, scientific work skills, and
students' scientific attitudes can be improved through research methods in learning-based research [28], [29].
4. CONCLUSION
Climate change based on rainfall, air temperature, pressure, humidity and wind can be modeled
through the grADS software and the modeling results show that weather conditions in Indonesia for 10 years
from 2009-2018 are relatively stable, including wind direction. This can be used by farmers and fishermen as
a guideline for starting the planting period and the time to go to sea, although there are some exceptions
(anomalies) when changes in seasons need to be anticipated in advance. Extreme climate change (anomaly)
that occurs every year is not always fixed in time, sometimes there is a shift in time, this can be used as a
guide in carrying out activities related to the activities of farmers and fishermen. The climate change modeled
by grADS can be used as material to create a module of global warming that is suitable for learning, it can be
seen from the findings, which states that; based on the value given by validate 1, 2 and validate 3, which are
respectively 65 (feasible), 68 (feasible) and 75 (very feasible), with an average of 69 feasible categories, the
global warming module is feasible to use. The global warming module can improve students' critical thinking
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skills, it can be seen from the post-test score > the pre-test average (0.6-0.9 > 0.19-0.24), which means that it
has increased from what was originally within the criteria low to medium and high criteria. The global
warming module has received a good response from both teachers and students. This can be seen from the
highest teacher and student response scores on question number 7 with a value of 87.5, which means that
almost all students and teachers respond to the material that has been given, while the teacher and student
responses are the lowest on question number 6 with a value of 65.6 which means most of the participants
students and teachers respond to the material that has been given.
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BIOGRAPHIES OF AUTHORS
Afrizal Mayub was born on April 18, 1960. He received the Master and Doctor degrees from
Universitas Gadjah Mada, Indonesia, in 2003 and 2011. Since 1987, He joined Universitas
Bengkulu, Indonesia, as a lecturer. Currently, Prof. Dr. Afrizal Mayub, M. Kom is a senior
lecturer and researcher in the Graduate School of Science Education, University of Bengkulu.
His research interests are robotics, artificial intelligence, physics education and applied
science.
Leni Hendraini, was born on 16 July 1984, since 2007 she was teacher at MAN 2
Lubuklinggau. In 2018 to 2020 pursuing Master degree at Postgraduate of Natural Sciences
Education Bengkulu University.
Henny Johan was born on Agustus 26, 1984. She received the Master and Doctor degrees
from Universitas Pendidikan Indonesia, Indonesia, in 2011 and 2018. Since 2003, She joined
Universitas Bengkulu, Indonesia, as a lecturer. Currently, Dr. Henny Johan, M. Pd is a lecturer
and researcher in the Graduate School of Science Education, University of Bengkulu. Her
research interests are science education, physics education and applied science.
Fahmizal was born on July 23, 1988. He graduated from Master of Science in Taiwan,
precisely at National Taiwan University of Science and Technology (Taiwan Tech) in 2014
with cumlaude. Currently, Mr. Fahmizal is a junior lecturer in the Department of Electrical and
Informatics Engineering at Vocational College Universitas Gadjah Mada, Indonesia, in the
specialist field of the control system and robotics. In addition to actively teaching and
researching, Mr. Fahmizal also as adviser and supervisor at Gadjah Mada Robotic Team
(GMRT).
Rendy Wikrama Wardana was born on August 31, 1986. He received Doctor degrees from
Universitas Pendidikan Indonesia, Indonesia, in 2013. Since 2019, He joined Universitas
Bengkulu, Indonesia, as a lecturer. Currently, Dr. Rendy Wikrama Wardana, M. Pd is a junior
lecturer and researcher in the Graduate School of Science Education, University of Bengkulu.
His research interests are Science education, physics education and applied science.