This study aims to test the model of the development of organic farming dragon fruit which has been obtained in previous studies. This follow-up study to test the model that has been obtained, through a comprehensive marketing research by analyzing the factors which influence consumers purchasing organic dragon fruit Object of the research in Pamekasan, The method used is the analysis of factors that influence consumer buying decisions in determining organic dragon fruit. The data used is the 60 respondents, the number of variables studied were 23 variables, factor analysis is based on 22
variables that can be further analyzed. One variable ignored because the value of the MSA is less than
0.5, the results showed that of the 22 variables were analyzed. The results showed that of the 22 variables
analyzed, there are 8 factors that influence consumers to buy organic dragon fruit, while the results of the 8 factors analyzed are: [1] Psychological (eigen value = 5,025), [2] The product (eigen value = 3,015), [3] Social (eigen value = 2,186), [4] Distribution (eigen value = 1.640), [5] Price (eigen value =1.354), [6] Promotion (eigen value = 1,286), [7] Individuals (eigen value = 1,196), [8] Service (eigen
value = 1.115), overall there are 3 of the most dominant factor affecting the marketing of organic dragon fruit, is the first factor of the product, the second is the social factor and the third factor is the price.
A meta analysis of the use of genetically modified cotton and its conventiona...Alexander Decker
This document presents a meta-analysis of 46 studies comparing the yield gain of genetically modified (GM) cotton and conventional cotton. The analysis found strong evidence of heterogeneity between studies. Under the fixed effects model and random effects model, the overall results showed a statistically significant yield gain for GM cotton compared to conventional cotton. Similarly, meta-analyses of 25 studies on seed costs and 28 studies on pesticide costs found statistically significant benefits of GM cotton over conventional cotton for those economic factors. However, the analysis of pesticide costs found some heterogeneity between studies, with some individual studies finding benefits for conventional cotton. Overall, the meta-analyses found statistically significant positive impacts of GM cotton adoption.
This document summarizes a study that assessed coverage of mass drug administration (MDA) against lymphatic filariasis in two districts of Karnataka, India. The study used a cross-sectional design with multi-stage cluster sampling to survey 1,228 individuals across urban and rural areas. Results showed MDA coverage of DEC and albendazole was 78.6% in Bagalkot district but only 38.8% in Gulbarga district. Reasons for non-compliance included not receiving drugs, fear of side effects, and exclusion criteria not being followed properly. The study concluded that effective drug delivery strategies are needed to improve compliance and that multiple rounds of MDA could help eliminate transmission of lymphatic fil
Supplier Selection and Order Allocation Models in Supply Chain Management: A ...IJERA Editor
Supplier selection decisions are an important component of production and logistics management for many
firms. Such decisions entail the selection of individual suppliers to employ and the determination of order
quantities to be placed with the selected suppliers. This paper reviews supplier selection and order allocation
models based on an extensive search in the literature (170 paper during 2000-2016) and tries to show their
contribution to supply chain management. After discussing different methods and their applications, the most
prevalently used approaches and criteria are presented. In the second step, different attributes of these papers are
defined and finally issues for future research are recommended
This study examines the influence of product quality, brand image, and product attractiveness on impulsive purchases and intention to buy Ajifol liquid organic fertilizer in East Java, Indonesia. 340 respondents were surveyed using SEM analysis. The results showed that product quality, brand image, and attractiveness positively influence impulsive purchases. Product quality and attractiveness positively affect purchase intention, while brand image negatively affects intention. Impulsive purchases also positively impact intention to buy. The study concludes that properly managing these factors can increase repurchase intentions.
BRM-Final report Income’s Effect On ExpenditureEssam Imtiaz
The document presents a study that examines the relationship between household income and expenditure using data collected from 50 people of varying demographics through interviews. Linear regression analysis was used to determine if income has an effect on expenditure. Descriptive statistics, correlations, and regression coefficients are presented in the results section to analyze the relationship between the independent variable of income and dependent variable of expenditure. The conclusion discusses whether income was found to significantly impact expenditure.
The Impact of Quality on Satisfaction: Case Study of Mongolia Private Hospitalsijtsrd
Quality of service is the most important indicator of patient satisfaction. The purpose of this study was to examine the impact of service quality on overall patient satisfaction in private hospitals in Ulaanbaatar, Mongolia. The study sample consisted of 69 patients who were selected from eight private general hospitals in Ulaanbaatar, Mongolia, using a sequential sample. Data analysis was performed using a t test, ANOVA and multivariate regression. This study found a close relationship between quality of service and patient satisfaction. About 45 of the differences in overall satisfaction are due to four aspects of quality of service. In terms of process quality, the waiting time for visits, receptions and operations should be reduced, and services should be provided as soon as possible. The need to strengthen the interpersonal aspects of care and communication skills of service providers should be emphasized. Uugantsetseg Davaadorj | Otgontsetseg Galindev "The Impact of Quality on Satisfaction: Case Study of Mongolia Private Hospitals" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29711.pdf Paper URL: https://www.ijtsrd.com/management/research-method/29711/the-impact-of-quality-on-satisfaction-case-study-of-mongolia-private-hospitals/uugantsetseg-davaadorj
Exploring Molecular Targets for Repositioning of Hypertensive DrugsYogeshIJTSRD
Drug repositioning or drug repurposing or drug profiling is the discovery of new applications for approved or failed drug.. Drug repositioning is the development of new approved drug applications. The cost of bringing a medicine to the market is around one million which include clinical and preclinical trials. Repositioning of drugs help in cutting down costs as well as time involve in intial validation and authorization. The procedure involved in Drug repositioning is generally performed during the drug development phase to modify or extend an active molecules distribution line. On a fundamental level, repositioning opportunities exist because drugs perturb multiple biological entities and engage themselves in multiple biological processes. Therefore, a drug can play multiple roles or perform a various mode of actions that are responsible for its pharmacology. Hypertension, is a condition that causes increase in the risk of cardiovascular diseases. In this study an attempt has been made to reposition hypertensive drugs for different diseases by exploring molecular targets of hypertensive drugs. Consider that they often need to be administered for long periods of time, often over whole life time Side effects although present, have been found safe enough to be used for such long durations, hence repurposing these drugs for other diseases may be beneficial with limited side effects. Bhawna Singh | Asmita Das "Exploring Molecular Targets for Repositioning of Hypertensive Drugs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39910.pdf Paper URL: https://www.ijtsrd.com/biological-science/bioinformatics/39910/exploring-molecular-targets-for-repositioning-of-hypertensive-drugs/bhawna-singh
A meta analysis of the use of genetically modified cotton and its conventiona...Alexander Decker
This document presents a meta-analysis of 46 studies comparing the yield gain of genetically modified (GM) cotton and conventional cotton. The analysis found strong evidence of heterogeneity between studies. Under the fixed effects model and random effects model, the overall results showed a statistically significant yield gain for GM cotton compared to conventional cotton. Similarly, meta-analyses of 25 studies on seed costs and 28 studies on pesticide costs found statistically significant benefits of GM cotton over conventional cotton for those economic factors. However, the analysis of pesticide costs found some heterogeneity between studies, with some individual studies finding benefits for conventional cotton. Overall, the meta-analyses found statistically significant positive impacts of GM cotton adoption.
This document summarizes a study that assessed coverage of mass drug administration (MDA) against lymphatic filariasis in two districts of Karnataka, India. The study used a cross-sectional design with multi-stage cluster sampling to survey 1,228 individuals across urban and rural areas. Results showed MDA coverage of DEC and albendazole was 78.6% in Bagalkot district but only 38.8% in Gulbarga district. Reasons for non-compliance included not receiving drugs, fear of side effects, and exclusion criteria not being followed properly. The study concluded that effective drug delivery strategies are needed to improve compliance and that multiple rounds of MDA could help eliminate transmission of lymphatic fil
Supplier Selection and Order Allocation Models in Supply Chain Management: A ...IJERA Editor
Supplier selection decisions are an important component of production and logistics management for many
firms. Such decisions entail the selection of individual suppliers to employ and the determination of order
quantities to be placed with the selected suppliers. This paper reviews supplier selection and order allocation
models based on an extensive search in the literature (170 paper during 2000-2016) and tries to show their
contribution to supply chain management. After discussing different methods and their applications, the most
prevalently used approaches and criteria are presented. In the second step, different attributes of these papers are
defined and finally issues for future research are recommended
This study examines the influence of product quality, brand image, and product attractiveness on impulsive purchases and intention to buy Ajifol liquid organic fertilizer in East Java, Indonesia. 340 respondents were surveyed using SEM analysis. The results showed that product quality, brand image, and attractiveness positively influence impulsive purchases. Product quality and attractiveness positively affect purchase intention, while brand image negatively affects intention. Impulsive purchases also positively impact intention to buy. The study concludes that properly managing these factors can increase repurchase intentions.
BRM-Final report Income’s Effect On ExpenditureEssam Imtiaz
The document presents a study that examines the relationship between household income and expenditure using data collected from 50 people of varying demographics through interviews. Linear regression analysis was used to determine if income has an effect on expenditure. Descriptive statistics, correlations, and regression coefficients are presented in the results section to analyze the relationship between the independent variable of income and dependent variable of expenditure. The conclusion discusses whether income was found to significantly impact expenditure.
The Impact of Quality on Satisfaction: Case Study of Mongolia Private Hospitalsijtsrd
Quality of service is the most important indicator of patient satisfaction. The purpose of this study was to examine the impact of service quality on overall patient satisfaction in private hospitals in Ulaanbaatar, Mongolia. The study sample consisted of 69 patients who were selected from eight private general hospitals in Ulaanbaatar, Mongolia, using a sequential sample. Data analysis was performed using a t test, ANOVA and multivariate regression. This study found a close relationship between quality of service and patient satisfaction. About 45 of the differences in overall satisfaction are due to four aspects of quality of service. In terms of process quality, the waiting time for visits, receptions and operations should be reduced, and services should be provided as soon as possible. The need to strengthen the interpersonal aspects of care and communication skills of service providers should be emphasized. Uugantsetseg Davaadorj | Otgontsetseg Galindev "The Impact of Quality on Satisfaction: Case Study of Mongolia Private Hospitals" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29711.pdf Paper URL: https://www.ijtsrd.com/management/research-method/29711/the-impact-of-quality-on-satisfaction-case-study-of-mongolia-private-hospitals/uugantsetseg-davaadorj
Exploring Molecular Targets for Repositioning of Hypertensive DrugsYogeshIJTSRD
Drug repositioning or drug repurposing or drug profiling is the discovery of new applications for approved or failed drug.. Drug repositioning is the development of new approved drug applications. The cost of bringing a medicine to the market is around one million which include clinical and preclinical trials. Repositioning of drugs help in cutting down costs as well as time involve in intial validation and authorization. The procedure involved in Drug repositioning is generally performed during the drug development phase to modify or extend an active molecules distribution line. On a fundamental level, repositioning opportunities exist because drugs perturb multiple biological entities and engage themselves in multiple biological processes. Therefore, a drug can play multiple roles or perform a various mode of actions that are responsible for its pharmacology. Hypertension, is a condition that causes increase in the risk of cardiovascular diseases. In this study an attempt has been made to reposition hypertensive drugs for different diseases by exploring molecular targets of hypertensive drugs. Consider that they often need to be administered for long periods of time, often over whole life time Side effects although present, have been found safe enough to be used for such long durations, hence repurposing these drugs for other diseases may be beneficial with limited side effects. Bhawna Singh | Asmita Das "Exploring Molecular Targets for Repositioning of Hypertensive Drugs" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39910.pdf Paper URL: https://www.ijtsrd.com/biological-science/bioinformatics/39910/exploring-molecular-targets-for-repositioning-of-hypertensive-drugs/bhawna-singh
This document summarizes a research paper that developed a new model for supplier selection using structural equation modeling (SEM) and analytic hierarchy process (AHP). The paper aims to select suppliers for a public sector company in India based on important supplier selection criteria. It reviewed previous supplier selection models and developed a generic theoretical model considering criteria like quality, cost, delivery, etc. An empirical study was conducted surveying 151 respondents to evaluate suppliers. The new composite SEM-AHP model was used to calculate supplier selection scores and identify strengths and weaknesses to help suppliers improve.
Development of a new tool for evaluating postnatal mother’s satisfaction foll...Alexander Decker
This document describes the development and testing of a new tool called the Jipi's Postnatal Satisfaction with Nursing Care Questionnaire (JPSNQ) to measure postnatal mothers' satisfaction with nursing care in India. The tool was developed based on a literature review and expert opinion. It was tested on 100 postnatal mothers and shown to have high reliability and validity. The tool contains 39 items across 6 domains of satisfaction. Testing found the tool to have high internal consistency and reliability. The study concludes that the JPSNQ is a valid and reliable new tool to measure maternal satisfaction with nursing care in India.
Assessment Of Environmental Sustainability In Healthcare Organizations With S...IJSRED
This document summarizes a research article that assesses environmental sustainability in healthcare organizations in Coimbatore District, India. The study aims to understand the different environmental sustainability strategies adopted by healthcare organizations and problems patients face in accessing sustainable treatment. A literature review covers past research on environmental sustainability in healthcare contexts. The methodology describes a descriptive study collecting primary data from 250 patients through interviews. Results include mean score analysis of the environmental sustainability strategies adopted by selected hospitals related to waste management and hazardous materials handling.
This study explored barriers to implementing pharmaceutical care in UAE community pharmacies through surveys of 357 pharmacists. The main barriers identified were lack of time (64.7%), insufficient staff (61.9%), and lack of motivation (61.1%). Barriers varied somewhat between emirates. For example, in Abu Dhabi and Dubai, lack of time due to high workload was a major issue. In Sharjah, lack of patient information was cited, while lack of motivation was key in Ajman. Pharmacists expressed willingness to adopt pharmaceutical care but recognized significant obstacles. Addressing barriers like time constraints, understaffing, and lack of resources may help enable pharmacists to expand their role in patient care.
Factors that Influence the Supplier Selection of Manufacturing BusinessesQUESTJOURNAL
ABSTRACT : The objective of this study is to find out the factors that influence businesses in manufacturing industry while selecting suppliers. The data used in the study were obtained from 80 small and medium sized enterprises in Samsun organized industrial site and small industrial areas by using face-to-face questionnaire method. KMO and Barlett’s test were used to find out whether the data set used in the study was suitable for factor analysis. According to the results, KMO and Barlett’s test results (0.761) show that the sample size is sufficient for factor analysis. Factor analysis gave a 4 factor structure that explained 84.48% of the total variance. The names of these factors and their rates of explaining the total variance were quality 33.08%, delivery 20.29%, price 18.72% and criteria about the supplier 12.39%, respectively. Cronbach’s Alpha reliability coefficients of these four factors and their sub-components were 0.978, 0.967, 0.920 and 0.602, respectively. As a conclusion, it was found that the businesses in manufacturing industry placed great importance on the quality and delivery of the product provided by the supplier. In addition, manufacturing businesses aim to supply quality products from the supplier with the lowest cost within the same period of time in accordance with their objectives.
This document lists and defines several common types of fruits including dragon fruit, apples, guava, mango, orange, and watermelon. Each fruit is written in Indonesian and English to provide the names in different languages.
Dragon fruit grows from a developing flower into a ripe fruit with red flesh. The flower blooms and then a fruit forms after blooming. The fruit ripens and develops red flesh as it grows larger.
The document discusses the legend, general information, nutrition facts, and advantages of the dragon fruit. According to legend, eating dragon fruit provides strength like a dragon. Dragon fruit is a cactus that is high in fiber, vitamin C, and minerals. It has various uses including as a fruit, vegetable, health product, and for environmental protection. Regular consumption of dragon fruit may help prevent diseases and provide various health benefits due to its antioxidant and nutritional properties.
Pitaya has desirable characteristics for being a replacement commercial crop such as being easy to propagate from cuttings, having low maintenance needs, short time between planting and harvesting compared to other fruits, and high yields. It is also a perennial crop that can provide income for 20-30 years with proper care. A one hectare pitaya farm would require an initial capital of 1.1 million PHP, have a yearly operating expense of 394,000 PHP, and would reach a return on investment within 3-4 years, providing an annual income of 1 million PHP minimum for the following years, as well as additional income from products made from pitaya.
Optimal Converge cast Methods for Tree- Based WSNsIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Prediction of groundwater quality in Selected Locations in Imo StateIJMER
The prediction of groundwater quality in selected locations was carried out in Owerri-West
L.G.A. of Imo State. The Physical, chemical and biological parameters of groundwater samples from
Nekede (Ward A), Ihiagwa (Ward B), Eziobodo (Ward C), Obinze (Ward D) and Avu (Ward E) were
analysed using the Atomic Absorption Spectrophotometer (AAS). A total of three replicates of fifteen
different borehole water samples were collected based on distances from closest potential sources of
contamination. All parameters were detected up to 61m from pollution source and most of them
increased in concentration during the periods, pointing to infiltrations from storm water. The results
for Iron, pH and TVC decreased as distance increases while for nitrate and BOD increased as distance
increases. Results also showed that most of the boreholes were polluted and not suitable for human
consumption without adequate treatment, Regular monitoring of groundwater quality, abolishment of
unhealthy waste disposal practices and introduction of modern techniques are recommended.
The Method of Repeated Application of a Quadrature Formula of Trapezoids and ...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
This document provides a comparative study of the MCDS (Minimal Connected Dominating Set) algorithm and the DSR (Dynamic Source Routing) protocol for packet forwarding in ad hoc networks. It finds that using MCDS to reduce blind broadcasting in DSR can significantly decrease the routing overhead from 74 packet forwardings to 36. The MCDS forms a virtual backbone to determine routes more efficiently than simple flooding in DSR. While this improves performance, applying MCDS has limitations with non-ideal network topologies. Further research on node mobility and multi-hop transmissions could expand the use of MCDS in practical ad hoc networks.
This document presents a new control strategy for an islanded microgrid consisting of PV and fuel cell distributed generation units supplying both local and nonlocal unbalanced loads. The control strategy comprises voltage control using a proportional resonance controller, droop-based power sharing, and a negative sequence impedance controller. The voltage controller regulates load voltages while the droop controller shares average power. The negative sequence controller minimizes negative sequence currents in the microgrid lines by adjusting each DG unit's negative sequence output impedance, improving power quality under unbalanced conditions. Time-domain simulations in MATLAB/Simulink validate the control strategy's performance for the PV and fuel cell microgrid.
This document discusses an email automation system created using Java Server Pages (JSP) and SQL Server 2000. The system allows users to send and receive emails and includes features like tracking emails, reporting, adding/removing accounts. It uses a client-server architecture for storage and access. Dataflow diagrams and database tables are presented. The system provides a user-friendly interface and leverages security and recovery of the database platform. Automating email could provide significant benefits in efficiency and reduced workload compared to a manual system.
Power Quality Enhancement in an Isolated Power System Using Series CompensationIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Design of Neural Network Controller for Active Vibration control of Cantileve...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Complex test pattern generation for high speed fault diagnosis in Embedded SRAMIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
This document analyzes the energy and exergy of an extraction back-pressure steam turbine used in a power plant in India. It evaluates the turbine's energy efficiency, exergy destruction, and exergy efficiency at 70% and 85% of maximum continuous rating. The analysis shows that operating the turbine at 85% rating improves the heat rate by 17.01 kJ/kWh, reducing CO2 emissions by 26.89 kg/h, SO2 emissions by 26.89 kg/h, and ash generation by 41.47 kg/day. Exergy, or the useful work potential of energy, provides a more complete analysis than energy alone by considering both quantity and quality of energy.
1) The document describes the development of a fuzzy rule-based (FRB) model for obtaining optimal reservoir releases using data from the Ukai Reservoir project in India.
2) The FRB model operates on an "if-then" principle to determine optimal monthly reservoir releases based on inputs of inflow, storage, and demand. Membership functions were created and fuzzy rules were formulated based on these inputs and the output of release.
3) Results show the FRB model was able to satisfy demand completely in all months considered for 2007 and 2011 while saving a significant amount of water compared to actual historical releases.
This document summarizes a research paper that developed a new model for supplier selection using structural equation modeling (SEM) and analytic hierarchy process (AHP). The paper aims to select suppliers for a public sector company in India based on important supplier selection criteria. It reviewed previous supplier selection models and developed a generic theoretical model considering criteria like quality, cost, delivery, etc. An empirical study was conducted surveying 151 respondents to evaluate suppliers. The new composite SEM-AHP model was used to calculate supplier selection scores and identify strengths and weaknesses to help suppliers improve.
Development of a new tool for evaluating postnatal mother’s satisfaction foll...Alexander Decker
This document describes the development and testing of a new tool called the Jipi's Postnatal Satisfaction with Nursing Care Questionnaire (JPSNQ) to measure postnatal mothers' satisfaction with nursing care in India. The tool was developed based on a literature review and expert opinion. It was tested on 100 postnatal mothers and shown to have high reliability and validity. The tool contains 39 items across 6 domains of satisfaction. Testing found the tool to have high internal consistency and reliability. The study concludes that the JPSNQ is a valid and reliable new tool to measure maternal satisfaction with nursing care in India.
Assessment Of Environmental Sustainability In Healthcare Organizations With S...IJSRED
This document summarizes a research article that assesses environmental sustainability in healthcare organizations in Coimbatore District, India. The study aims to understand the different environmental sustainability strategies adopted by healthcare organizations and problems patients face in accessing sustainable treatment. A literature review covers past research on environmental sustainability in healthcare contexts. The methodology describes a descriptive study collecting primary data from 250 patients through interviews. Results include mean score analysis of the environmental sustainability strategies adopted by selected hospitals related to waste management and hazardous materials handling.
This study explored barriers to implementing pharmaceutical care in UAE community pharmacies through surveys of 357 pharmacists. The main barriers identified were lack of time (64.7%), insufficient staff (61.9%), and lack of motivation (61.1%). Barriers varied somewhat between emirates. For example, in Abu Dhabi and Dubai, lack of time due to high workload was a major issue. In Sharjah, lack of patient information was cited, while lack of motivation was key in Ajman. Pharmacists expressed willingness to adopt pharmaceutical care but recognized significant obstacles. Addressing barriers like time constraints, understaffing, and lack of resources may help enable pharmacists to expand their role in patient care.
Factors that Influence the Supplier Selection of Manufacturing BusinessesQUESTJOURNAL
ABSTRACT : The objective of this study is to find out the factors that influence businesses in manufacturing industry while selecting suppliers. The data used in the study were obtained from 80 small and medium sized enterprises in Samsun organized industrial site and small industrial areas by using face-to-face questionnaire method. KMO and Barlett’s test were used to find out whether the data set used in the study was suitable for factor analysis. According to the results, KMO and Barlett’s test results (0.761) show that the sample size is sufficient for factor analysis. Factor analysis gave a 4 factor structure that explained 84.48% of the total variance. The names of these factors and their rates of explaining the total variance were quality 33.08%, delivery 20.29%, price 18.72% and criteria about the supplier 12.39%, respectively. Cronbach’s Alpha reliability coefficients of these four factors and their sub-components were 0.978, 0.967, 0.920 and 0.602, respectively. As a conclusion, it was found that the businesses in manufacturing industry placed great importance on the quality and delivery of the product provided by the supplier. In addition, manufacturing businesses aim to supply quality products from the supplier with the lowest cost within the same period of time in accordance with their objectives.
This document lists and defines several common types of fruits including dragon fruit, apples, guava, mango, orange, and watermelon. Each fruit is written in Indonesian and English to provide the names in different languages.
Dragon fruit grows from a developing flower into a ripe fruit with red flesh. The flower blooms and then a fruit forms after blooming. The fruit ripens and develops red flesh as it grows larger.
The document discusses the legend, general information, nutrition facts, and advantages of the dragon fruit. According to legend, eating dragon fruit provides strength like a dragon. Dragon fruit is a cactus that is high in fiber, vitamin C, and minerals. It has various uses including as a fruit, vegetable, health product, and for environmental protection. Regular consumption of dragon fruit may help prevent diseases and provide various health benefits due to its antioxidant and nutritional properties.
Pitaya has desirable characteristics for being a replacement commercial crop such as being easy to propagate from cuttings, having low maintenance needs, short time between planting and harvesting compared to other fruits, and high yields. It is also a perennial crop that can provide income for 20-30 years with proper care. A one hectare pitaya farm would require an initial capital of 1.1 million PHP, have a yearly operating expense of 394,000 PHP, and would reach a return on investment within 3-4 years, providing an annual income of 1 million PHP minimum for the following years, as well as additional income from products made from pitaya.
Optimal Converge cast Methods for Tree- Based WSNsIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Prediction of groundwater quality in Selected Locations in Imo StateIJMER
The prediction of groundwater quality in selected locations was carried out in Owerri-West
L.G.A. of Imo State. The Physical, chemical and biological parameters of groundwater samples from
Nekede (Ward A), Ihiagwa (Ward B), Eziobodo (Ward C), Obinze (Ward D) and Avu (Ward E) were
analysed using the Atomic Absorption Spectrophotometer (AAS). A total of three replicates of fifteen
different borehole water samples were collected based on distances from closest potential sources of
contamination. All parameters were detected up to 61m from pollution source and most of them
increased in concentration during the periods, pointing to infiltrations from storm water. The results
for Iron, pH and TVC decreased as distance increases while for nitrate and BOD increased as distance
increases. Results also showed that most of the boreholes were polluted and not suitable for human
consumption without adequate treatment, Regular monitoring of groundwater quality, abolishment of
unhealthy waste disposal practices and introduction of modern techniques are recommended.
The Method of Repeated Application of a Quadrature Formula of Trapezoids and ...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
This document provides a comparative study of the MCDS (Minimal Connected Dominating Set) algorithm and the DSR (Dynamic Source Routing) protocol for packet forwarding in ad hoc networks. It finds that using MCDS to reduce blind broadcasting in DSR can significantly decrease the routing overhead from 74 packet forwardings to 36. The MCDS forms a virtual backbone to determine routes more efficiently than simple flooding in DSR. While this improves performance, applying MCDS has limitations with non-ideal network topologies. Further research on node mobility and multi-hop transmissions could expand the use of MCDS in practical ad hoc networks.
This document presents a new control strategy for an islanded microgrid consisting of PV and fuel cell distributed generation units supplying both local and nonlocal unbalanced loads. The control strategy comprises voltage control using a proportional resonance controller, droop-based power sharing, and a negative sequence impedance controller. The voltage controller regulates load voltages while the droop controller shares average power. The negative sequence controller minimizes negative sequence currents in the microgrid lines by adjusting each DG unit's negative sequence output impedance, improving power quality under unbalanced conditions. Time-domain simulations in MATLAB/Simulink validate the control strategy's performance for the PV and fuel cell microgrid.
This document discusses an email automation system created using Java Server Pages (JSP) and SQL Server 2000. The system allows users to send and receive emails and includes features like tracking emails, reporting, adding/removing accounts. It uses a client-server architecture for storage and access. Dataflow diagrams and database tables are presented. The system provides a user-friendly interface and leverages security and recovery of the database platform. Automating email could provide significant benefits in efficiency and reduced workload compared to a manual system.
Power Quality Enhancement in an Isolated Power System Using Series CompensationIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Design of Neural Network Controller for Active Vibration control of Cantileve...IJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Complex test pattern generation for high speed fault diagnosis in Embedded SRAMIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
This document analyzes the energy and exergy of an extraction back-pressure steam turbine used in a power plant in India. It evaluates the turbine's energy efficiency, exergy destruction, and exergy efficiency at 70% and 85% of maximum continuous rating. The analysis shows that operating the turbine at 85% rating improves the heat rate by 17.01 kJ/kWh, reducing CO2 emissions by 26.89 kg/h, SO2 emissions by 26.89 kg/h, and ash generation by 41.47 kg/day. Exergy, or the useful work potential of energy, provides a more complete analysis than energy alone by considering both quantity and quality of energy.
1) The document describes the development of a fuzzy rule-based (FRB) model for obtaining optimal reservoir releases using data from the Ukai Reservoir project in India.
2) The FRB model operates on an "if-then" principle to determine optimal monthly reservoir releases based on inputs of inflow, storage, and demand. Membership functions were created and fuzzy rules were formulated based on these inputs and the output of release.
3) Results show the FRB model was able to satisfy demand completely in all months considered for 2007 and 2011 while saving a significant amount of water compared to actual historical releases.
Acquisition of Long Pseudo Code in Dsss SignalIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Low Cost Self-assistive Voice Controlled Technology for Disabled PeopleIJMER
The document describes a proposed voice-controlled wheelchair and home automation system for disabled individuals. The system uses a microcontroller connected to a voice recognition module to recognize spoken commands. The commands control the motion of an electric wheelchair and operation of home appliances like lights. The system was tested for accuracy of wheelchair motion and home appliance control in response to voice commands, achieving 80% accuracy in a silent environment. The goal is to allow disabled people to control a wheelchair and home devices independently using only their voice.
Development of a Suitable Load Balancing Strategy In Case Of a Cloud Computi...IJMER
Cloud computing is an attracting technology in the field of computer science. In
Gartner’s report, it says that the cloud will bring changes to the IT industry. The cloud is changing
our life by providing users with new types of services. Users get service from a cloud without paying
attention to the details. NIST gave a definition of cloud computing as a model for enabling
ubiquitous, convenient, on-demand network access to a shared pool of configurable computing
resources (e.g., networks, servers, storage, applications, and services) that can be rapidly
provisioned and released with minimal management effort or service provider interaction. More
and more people pay attention to cloud computing. Cloud computing is efficient and scalable but
maintaining the stability of processing so many jobs in the cloud computing environment is a very
complex problem with load balancing receiving much attention for researchers. Since the job
arrival pattern is not predictable and the capacities of each node in the cloud differ, for load
balancing problem, workload control is crucial to improve system performance and maintain
stability. Load balancing schemes depending on whether the system dynamics are important can be
either static or dynamic. Static schemes do not use the system information and are less complex
while dynamic schemes will bring additional costs for the system but can change as the system
status changes. A dynamic scheme is used here for its flexibility. The model has a main controller
and balancers to gather and analyze the information. Thus, the dynamic control has little influence
on the other working nodes. The system status then provides a basis for choosing the right load
balancing strategy. The load balancing model given in this research article is aimed at the public
cloud which has numerous nodes with distributed computing resources in many different
geographic locations. Thus, this model divides the public cloud into several cloud partitions. When
the environment is very large and complex, these divisions simplify the load balancing. The cloud
has a main controller that chooses the suitable partitions for arriving jobs while the balancer for
each cloud partition chooses the best load balancing strategy.
1) The document describes a case where a cadaver was found to have a variant anatomy of the flexor carpi ulnaris muscle and ulnar artery.
2) Specifically, the ulnar head of the flexor carpi ulnaris muscle was more prominent and separated the ulnar artery and nerve. The humeral and ulnar heads of the muscle were also separated by the ulnar nerve.
3) This variation could be clinically significant for plastic surgeons performing flap surgeries and surgeons dealing with cubital tunnel syndrome where the ulnar nerve passes. Knowledge of unusual anatomy in the forearm is important for surgical planning and interpretation of imaging studies.
Nidhi-PP.pptx bba marketing final year projectchauhannaman111
The document summarizes a student's interim project presentation on a study of consumer behaviors towards organic food products in Tumkur District, India. The summary includes an introduction to organic food and farming, a literature review of 5 previous studies on consumer attitudes and factors influencing organic food purchases, identified gaps in research, and the aim and objectives of the student's own study.
The aim of this research is to understand the consumer behavior, attitude and usage
purposes of organic products in their daily life. The researcher was adopted survey
method to collect responses from 100 organic product consumers residing in Chennai city
of Tamil Nadu. The empirical results indicate that nine dimensions of usage purposes of
organic products were explored and the entire organic product consumers covered in this
survey are significantly classified into two groups such as, high users and moderate users
based on their attitude towards organic products consumption. To conclude, consumers
are advised to use more organic products due to health concern, and environmental
concern.
This study aims to identify critical factors for creating and maintaining long-term relationships between manufacturers and retailers in Bangladesh. A survey of 205 smartphone retailers found that retailers' long-term orientation towards manufacturers is most significantly influenced by manufacturers' attitudes, retailers' trust in manufacturers, retailers' dependence on manufacturers, and current economic outcomes from the relationship. Regression and ANOVA analyses confirm that these four factors together have a strong statistically significant relationship with retailers' long-term orientation. However, the study is limited by its modest sample size and focus on a single industry.
The document provides a summary of progress for the Strengthening Impact Assessment in the CGIAR (SIAC) program. Key points:
- SIAC is a 4-year $12 million program led by SPIA to broaden impact assessment of CGIAR research through developing new methods and data collection.
- The program's objectives are to develop innovative methods for data collection, institutionalize diffusion data collection, assess full impacts of CGIAR research, and support communities of practice for impact assessment.
- Activities under Objective 1 include pilot testing methods for tracking adoption of improved varieties and technologies in crops like cassava, maize, and beans in countries like Ghana, Uganda, and Zambia. Results show
The document describes the development and validation of a nutritional knowledge questionnaire for street food vendors and consumers in Tamil Nadu, India. It involved generating items from literature, expert consultation, and pilot testing. Items were evaluated based on difficulty and internal consistency. The final 35-item questionnaire demonstrated reliability through test-retest correlations ranging from 0.57 to 0.82 for different sections. Content validity was established through representation of nutritional knowledge domains and expert review. The validated questionnaire can be used to assess nutritional knowledge among street food vendors and consumers.
This document provides an overview of quantitative and qualitative research methods. It discusses the key differences between the two approaches, including their underlying assumptions and typical methods. Quantitative research uses quantifiable data and statistical analysis, while qualitative research relies more on open-ended questions and interpretation. The document then focuses extensively on quantitative methods, outlining various types of primary quantitative research like surveys, experiments, and secondary data analysis techniques. It covers sampling methods, question types, data collection and distribution, and statistical analysis.
A comparative profitability_analysis_of_organic_anDivyesh M.Desai
The document compares the profitability of organic and conventional farms in Emilia-Romagna, Italy and Minnesota, USA. It first uses factor analysis and clustering to identify homogeneous groups of organic farms in the Emilia-Romagna sample. Logistic regression finds that structural variables alone do not explain the choice to adopt organic farming. Multiple regression shows that adopting organic farming is not significantly related to farm income levels. The analysis aims to test if structural factors influence organic adoption and compare organic and conventional farm profitability.
Effects of factor analysis on the questionnaire of strategic marketing mix on...Alexander Decker
The document discusses a study that examined the effects of factor analysis on a questionnaire about strategic marketing mix and organizational objectives in the food and beverage industry. The results of the questionnaires were subjected to factor analysis, which showed several positive effects: 1) The correlation matrix was all positive and above 0.5, showing the adequacy of factor analysis. 2) Kaiser-Mayer Olkin value was 0.882, showing the data was suitable for factor analysis. 3) Eight factors were extracted explaining 72.6% of variability in the data. 4) Variables loaded strongly onto the factors. This shows factor analysis had significant positive effects on analyzing the questionnaire data.
Factors affecting Agricultural sustainable activities among Wheat Producersresearchagriculture
The sustainability of agricultural activities has been emphasized in many studies. The main objective of this study is to determine the major factors affecting the adoption of sustainable activities among wheat producers in Marvdasht county in Iran. The Survey research was used and the sample consists of 178 farmers that selected with simple random sampling technique from 10 villages. Findings showed a positive correlation between educational level, knowledge on sustainability, attending on educational classes, participation in extension activities, social norms and conducting sustainable agricultural activities. The regression findings showed that age, educational level, knowledge on sustainability, agricultural income, total land of family, attending on educational classes, participation in extension activities, social norms, controllability of production factors were major variables to explain variability in adoption of sustainable activities among wheat producers. The study has provided recommendations to improve of adoption rate in sustainable agricultural activities.
Article Citation:
Rezaei-Moghaddam K, Fatemi M and Monfared N.
Factors affecting agricultural sustainable activities among wheat producers.
Journal of Research in Agriculture (2012) 1(2): 093-098.
Full Text:
http://www.jagri.info/documents/AG0015.pdf
Factors affecting agricultural sustainable activities among wheat producersresearchagriculture
The sustainability of agricultural activities has been emphasized in many
studies. The main objective of this study is to determine the major factors affecting
the adoption of
sustainable activities among wheat producers in Marvdasht county in
Iran. The Survey research was used and the sample consists of 178 farmers that
selected with simple random sampling technique from 10 villages. Findings showed a
positive correlation between educational level, knowledge on sustainability, attending
on educational classes, participation in extension activities, social norms and
conducting sustainable agricultural activities. The regression findings showed that
age, educational level, knowledge on sustainability, agricultural income, total land of
family, attending on educational classes, participation in extension activities, social
norms, controllability of production factors were major variables to explain variability
in adoption of sustainable activities among wheat producers. The study has provided
recommendations to improve of adoption rate in sustainable agricultural activities.
IDENTIFICATION OF GREEN CONSUMER PROFILE AND BEHAVIOR IN ORDER TO INCREASE GR...Khaira Al Hafi
- The document analyzes a study conducted in Indonesia to identify green consumer profiles and behaviors. It aims to understand green purchasing segments and decisions.
- The study found that 56% of Indonesian consumers were green consumers. It identified moderate and high green consumer groups with different characteristics like gender, age, education and income levels.
- Green purchasing decisions are influenced by multiple factors like environmental concerns, health concerns and product recommendations rather than a single product attribute. Availability and prices also impact purchasing.
Factor analysis was conducted on data from a questionnaire to identify underlying dimensions or factors. The analysis identified three factors that explained a significant amount of the variance in the data. Both exploratory factor analysis and confirmatory factor analysis supported retaining three factors. The factors were interpreted based on which questions loaded highly on each factor. The results provide insight into the key dimensions measured by the questionnaire.
Intentional stakeholder outreach using Outcome Mapping: Ecosystem approaches ...ILRI
Presented by Korapin Tohtubtiang, Rainer Assé, Fred Unger, Jeffrey Gilbert and Delia Grace at the 2014 EcoHealth conference, Montreal, Canada, 11-15 August 2014.
The document is a dissertation submitted by Tiezheng Yuan to Newcastle University in partial fulfillment of a BA Honours in Marketing and Management. The dissertation explores undergraduate students' purchasing behaviour and satisfaction toward quality low-input and organic foods. It utilizes a literature review and quantitative survey of 352 undergraduate students to investigate topics such as food shopping behaviors, importance of food attributes, perceived risk of food production methods, and satisfaction with organic foods. The results identify dimensions that influence students' attitudes toward food and organic purchases.
Poster95: Monitoring and evaluation: setting the stage for improved impactCIAT
The document discusses monitoring and evaluation approaches used by the Improved Beans for the Developing World Partnership (PABRA) research program. It outlines how PABRA applied participatory monitoring and evaluation to improve accountability, track outcomes and impacts, and support decision-making. Key partners were involved in designing and implementing monitoring and evaluation plans and tools. Evaluation findings were reviewed with partners to inform recommendations and options for program improvements.
Impact of Perceived Fairness on Performance Appraisal System for Academic Sta...IJSRP Journal
This study investigates the employees’ perception of fairness in the performance appraisal system for academic staff of the General Sir Jhon Kotelawala Defence University.
S Y S T E M A T I C R E V I E WAntibiotic Prescribing in L.docxanhlodge
S Y S T E M A T I C R E V I E W
Antibiotic Prescribing in Long-Term Care Facilities:
A Meta-synthesis of Qualitative Research
Aoife Fleming1 • Colin Bradley2 • Shane Cullinan1 • Stephen Byrne1
Published online: 2 April 2015
� The Author(s) 2015. This article is published with open access at Springerlink.com
Abstract
Objectives The objective of this review was to synthesize
the findings of qualitative studies investigating the factors
influencing antibiotic prescribing in long-term care facilities
(LTCFs). These findings will inform the development of fu-
ture antimicrobial stewardship strategies (AMS) in this setting.
Methods We searched Embase, PubMed, PsycInfo, So-
cial Science Citations Index and Google Scholar for all
qualitative studies investigating health care professionals’
views on antibiotic prescribing in LTCFs. The quality of
the papers was assessed using the Critical Appraisal Skills
Programme (CASP) assessment tool for qualitative re-
search. Thematic synthesis was used to integrate the
emergent themes into an overall analytical theme.
Results The synthesis of eight qualitative studies indi-
cated that health care professionals and administrators have
identified factors that influence antibiotic prescribing in
LTCFs. These factors include variations in knowledge and
practice among health care professionals, and the LTCF
context, which is unique given the complex patient
population and restricted access to doctors and diagnostic
tests. The social factors underpinning the interaction be-
tween nurses, residents’ families and doctors also influence
decision making around antibiotic prescribing. The study
also found that there is an acknowledged need for col-
laborative, evidence-based AMS specific to LTCFs, as
antibiotic prescribing is heavily influenced by factors
unique to this setting.
Conclusion This review highlighted the key contextual
challenges for AMS in LTCFs. The findings provide an in-
depth insight into the factors—such as the LTCF context,
social factors, variability in knowledge and prescribing
practices, and antimicrobial resistance—that impact on
antibiotic prescribing and AMS strategies. These factors
must be considered in order to ensure the feasibility and
applicability of future AMS interventions.
Key Points
The influences of the long-term care facility (LTCF)
context and social factors have an important impact
on antibiotic prescribing in this setting.
According to the findings of this review, future
antimicrobial stewardship strategies must emphasize
the importance of knowledge of guidelines and
antimicrobial resistance, and the strategies must be
specifically designed for implementation in the
LTCF setting.
1 Introduction
Recent studies evaluating the prescribing of antibiotics in
long-term care facilities (LTCFs) have found that antibiotic
prescribing is common, with reported annual prevalence
rates ranging from 47 to 79 % [1]. As many as 25–75 % of
El.
fikiru ppt edited.pptx managment for studentsdejene1234567
Managerial, political, financial, and loan repayment factors were examined for their effects on the growth and survival of microfinance institutions in Debre Brehan Town. A quantitative research approach was used, collecting data from 160 employees through questionnaires. Statistical analysis found that all factors had a positive and significant impact on growth and survival. Specifically, managerial factors, political factors, financial performance, and loan repayment rates each independently contributed to the success and sustainability of microfinance operations in the region.
Mediating Effects of Intention On The Factors Affecting Organic Food Products...CSCJournals
This study aimed to measure the effect of intention as a mediator in the relationship between internal factors and external factors on consumption. The factors were a) internal factors: knowledge, awareness, health consciousness, product attributes, environmental concern, and b) external factors: subjective norms, perceived behaviour control, and media and advertisement. From the review of literature, there were limited studies done on the mediating effect of intention on the relationship between (internal factor and external factors) and organic food product consumption among CGY in Malaysia. A total of 410 respondents completed the online questionnaires that evaluated the factors. Structural Equation Modelling was used as the main practical approach for data analysis. The results showed that intention was a full or a complete mediator between the six exogenous constructs; knowledge, health consciousness, product attributes, environmental concern, perceived behaviour, and media and advertisement, while it only acted as a partial mediator between subjective norm and consumption. However, the intention was not a full or a complete mediator between awareness and consumption. Eventually, the implications for theory improvement and practices were discussed.
Similar to Testing Model Of Development Organic Farming Dragon Fruit Based Market Research (20)
A Study on Translucent Concrete Product and Its Properties by Using Optical F...IJMER
- Translucent concrete is a concrete based material with light-transferring properties,
obtained due to embedded light optical elements like Optical fibers used in concrete. Light is conducted
through the concrete from one end to the other. This results into a certain light pattern on the other
surface, depending on the fiber structure. Optical fibers transmit light so effectively that there is
virtually no loss of light conducted through the fibers. This paper deals with the modeling of such
translucent or transparent concrete blocks and panel and their usage and also the advantages it brings
in the field. The main purpose is to use sunlight as a light source to reduce the power consumption of
illumination and to use the optical fiber to sense the stress of structures and also use this concrete as an
architectural purpose of the building
Developing Cost Effective Automation for Cotton Seed DelintingIJMER
A low cost automation system for removal of lint from cottonseed is to be designed and
developed. The setup consists of stainless steel drum with stirrer in which cottonseeds having lint is mixed
with concentrated sulphuric acid. So lint will get burn. This lint free cottonseed treated with lime water to
neutralize acidic nature. After water washing this cottonseeds are used for agriculter purpose
Study & Testing Of Bio-Composite Material Based On Munja FibreIJMER
The incorporation of natural fibres such as munja fiber composites has gained
increasing applications both in many areas of Engineering and Technology. The aim of this study is to
evaluate mechanical properties such as flexural and tensile properties of reinforced epoxy composites.
This is mainly due to their applicable benefits as they are light weight and offer low cost compared to
synthetic fibre composites. Munja fibres recently have been a substitute material in many weight-critical
applications in areas such as aerospace, automotive and other high demanding industrial sectors. In
this study, natural munja fibre composites and munja/fibreglass hybrid composites were fabricated by a
combination of hand lay-up and cold-press methods. A new variety in munja fibre is the present work
the main aim of the work is to extract the neat fibre and is characterized for its flexural characteristics.
The composites are fabricated by reinforcing untreated and treated fibre and are tested for their
mechanical, properties strictly as per ASTM procedures.
Hybrid Engine (Stirling Engine + IC Engine + Electric Motor)IJMER
Hybrid engine is a combination of Stirling engine, IC engine and Electric motor. All these 3 are
connected together to a single shaft. The power source of the Stirling engine will be a Solar Panel. The aim of
this is to run the automobile using a Hybrid engine
Fabrication & Characterization of Bio Composite Materials Based On Sunnhemp F...IJMER
This document summarizes research on the fabrication and characterization of bio-composite materials using sunnhemp fibre. The document discusses how sunnhemp fibre was used to reinforce an epoxy matrix through hand lay-up methods. Various mechanical properties of the bio-composites were tested, including tensile, flexural, and impact properties. The results of the mechanical tests on the bio-composite specimens are presented. Potential applications of the sunnhemp fibre bio-composites are also suggested, such as in fall ceilings, partitions, packaging, automotive interiors, and toys.
Geochemistry and Genesis of Kammatturu Iron Ores of Devagiri Formation, Sandu...IJMER
The Greenstone belts of Karnataka are enriched in BIFs in Dharwar craton, where Iron
formations are confined to the basin shelf, clearly separated from the deeper-water iron formation that
accumulated at the basin margin and flanking the marine basin. Geochemical data procured in terms of
major, trace and REE are plotted in various diagrams to interpret the genesis of BIFs. Al2O3, Fe2O3 (T),
TiO2, CaO, and SiO2 abundances and ratios show a wide variation. Ni, Co, Zr, Sc, V, Rb, Sr, U, Th,
ΣREE, La, Ce and Eu anomalies and their binary relationships indicate that wherever the terrigenous
component has increased, the concentration of elements of felsic such as Zr and Hf has gone up. Elevated
concentrations of Ni, Co and Sc are contributed by chlorite and other components characteristic of basic
volcanic debris. The data suggest that these formations were generated by chemical and clastic
sedimentary processes on a shallow shelf. During transgression, chemical precipitation took place at the
sediment-water interface, whereas at the time of regression. Iron ore formed with sedimentary structures
and textures in Kammatturu area, in a setting where the water column was oxygenated.
Experimental Investigation on Characteristic Study of the Carbon Steel C45 in...IJMER
In this paper, the mechanical characteristics of C45 medium carbon steel are investigated
under various working conditions. The main characteristic to be studied on this paper is impact toughness
of the material with different configurations and the experiment were carried out on charpy impact testing
equipment. This study reveals the ability of the material to absorb energy up to failure for various
specimen configurations under different heat treated conditions and the corresponding results were
compared with the analysis outcome
Non linear analysis of Robot Gun Support Structure using Equivalent Dynamic A...IJMER
Robot guns are being increasingly employed in automotive manufacturing to replace
risky jobs and also to increase productivity. Using a single robot for a single operation proves to be
expensive. Hence for cost optimization, multiple guns are mounted on a single robot and multiple
operations are performed. Robot Gun structure is an efficient way in which multiple welds can be done
simultaneously. However mounting several weld guns on a single structure induces a variety of
dynamic loads, especially during movement of the robot arm as it maneuvers to reach the weld
locations. The primary idea employed in this paper, is to model those dynamic loads as equivalent G
force loads in FEA. This approach will be on the conservative side, and will be saving time and
subsequently cost efficient. The approach of the paper is towards creating a standard operating
procedure when it comes to analysis of such structures, with emphasis on deploying various technical
aspects of FEA such as Non Linear Geometry, Multipoint Constraint Contact Algorithm, Multizone
meshing .
Static Analysis of Go-Kart Chassis by Analytical and Solid Works SimulationIJMER
This paper aims to do modelling, simulation and performing the static analysis of a go
kart chassis consisting of Circular beams. Modelling, simulations and analysis are performed using 3-D
modelling software i.e. Solid Works and ANSYS according to the rulebook provided by Indian Society of
New Era Engineers (ISNEE) for National Go Kart Championship (NGKC-14).The maximum deflection is
determined by performing static analysis. Computed results are then compared to analytical calculation,
where it is found that the location of maximum deflection agrees well with theoretical approximation but
varies on magnitude aspect.
In récent year various vehicle introduced in market but due to limitation in
carbon émission and BS Séries limitd speed availability vehicle in the market and causing of
environnent pollution over few year There is need to decrease dependancy on fuel vehicle.
bicycle is to be modified for optional in the future To implement new technique using change in
pedal assembly and variable speed gearbox such as planetary gear optimise speed of vehicle
with variable speed ratio.To increase the efficiency of bicycle for confortable drive and to
reduce torque appli éd on bicycle. we introduced epicyclic gear box in which transmission done
throgh Chain Drive (i.e. Sprocket )to rear wheel with help of Epicyclical gear Box to give
number of différent Speed during driving.To reduce torque requirent in the cycle with change in
the pedal mechanism
Integration of Struts & Spring & Hibernate for Enterprise ApplicationsIJMER
This document discusses integrating the Spring, Struts, and Hibernate frameworks to develop enterprise applications. It provides an overview of each framework and their features. The Spring Framework is a lightweight, modular framework that allows for inversion of control and aspect-oriented programming. It can be used to develop any or all tiers of an application. The document proposes an architecture for an e-commerce website that integrates these three frameworks, with Spring handling the business layer, Struts the presentation layer, and Hibernate the data access layer. This modular approach allows for clear separation of concerns and reduces complexity in application development.
Microcontroller Based Automatic Sprinkler Irrigation SystemIJMER
Microcontroller based Automatic Sprinkler System is a new concept of using
intelligence power of embedded technology in the sprinkler irrigation work. Designed system replaces
the conventional manual work involved in sprinkler irrigation to automatic process. Using this system a
farmer is protected against adverse inhuman weather conditions, tedious work of changing over of
sprinkler water pipe lines & risk of accident due to high pressure in the water pipe line. Overall
sprinkler irrigation work is transformed in to a comfortableautomatic work. This system provides
flexibility & accuracy in respect of time set for the operation of a sprinkler water pipe lines. In present
work the author has designed and developed an automatic sprinkler irrigation system which is
controlled and monitored by a microcontroller interfaced with solenoid valves.
On some locally closed sets and spaces in Ideal Topological SpacesIJMER
This document introduces and studies the concept of δˆ s-locally closed sets in ideal topological spaces. Some key points:
- A subset A is δˆ s-locally closed if A can be written as the intersection of a δˆ s-open set and a δˆ s-closed set.
- Various properties of δˆ s-locally closed sets are introduced and characterized, including relationships to other concepts like generalized locally closed sets.
- It is shown that a subset A is δˆ s-locally closed if and only if A can be written as the intersection of a δˆ s-open set and the δˆ s-closure of A.
- Theore
Intrusion Detection and Forensics based on decision tree and Association rule...IJMER
This paper present an approach based on the combination of, two techniques using
decision tree and Association rule mining for Probe attack detection. This approach proves to be
better than the traditional approach of generating rules for fuzzy expert system by clustering methods.
Association rule mining for selecting the best attributes together and decision tree for identifying the
best parameters together to create the rules for fuzzy expert system. After that rules for fuzzy expert
system are generated using association rule mining and decision trees. Decision trees is generated for
dataset and to find the basic parameters for creating the membership functions of fuzzy inference
system. Membership functions are generated for the probe attack. Based on these rules we have
created the fuzzy inference system that is used as an input to neuro-fuzzy system. Fuzzy inference
system is loaded to neuro-fuzzy toolbox as an input and the final ANFIS structure is generated for
outcome of neuro-fuzzy approach. The experiments and evaluations of the proposed method were
done with NSL-KDD intrusion detection dataset. As the experimental results, the proposed approach
based on the combination of, two techniques using decision tree and Association rule mining
efficiently detected probe attacks. Experimental results shows better results for detecting intrusions as
compared to others existing methods
Natural Language Ambiguity and its Effect on Machine LearningIJMER
This document discusses natural language ambiguity and its effect on machine learning. It begins by introducing different types of ambiguity that exist in natural languages, including lexical, syntactic, semantic, discourse, and pragmatic ambiguities. It then examines how these ambiguities present challenges for computational linguistics and machine translation systems. Specifically, it notes that ambiguity is a major problem for computers in processing human language as they lack the world knowledge and context that humans use to resolve ambiguities. The document concludes by outlining the typical process of machine translation and how ambiguities can interfere with tasks like analysis, transfer, and generation of text in the target language.
Today in era of software industry there is no perfect software framework available for
analysis and software development. Currently there are enormous number of software development
process exists which can be implemented to stabilize the process of developing a software system. But no
perfect system is recognized till yet which can help software developers for opting of best software
development process. This paper present the framework of skillful system combined with Likert scale. With
the help of Likert scale we define a rule based model and delegate some mass score to every process and
develop one tool name as MuxSet which will help the software developers to select an appropriate
development process that may enhance the probability of system success.
Material Parameter and Effect of Thermal Load on Functionally Graded CylindersIJMER
The present study investigates the creep in a thick-walled composite cylinders made
up of aluminum/aluminum alloy matrix and reinforced with silicon carbide particles. The distribution
of SiCp is assumed to be either uniform or decreasing linearly from the inner to the outer radius of
the cylinder. The creep behavior of the cylinder has been described by threshold stress based creep
law with a stress exponent of 5. The composite cylinders are subjected to internal pressure which is
applied gradually and steady state condition of stress is assumed. The creep parameters required to
be used in creep law, are extracted by conducting regression analysis on the available experimental
results. The mathematical models have been developed to describe steady state creep in the composite
cylinder by using von-Mises criterion. Regression analysis is used to obtain the creep parameters
required in the study. The basic equilibrium equation of the cylinder and other constitutive equations
have been solved to obtain creep stresses in the cylinder. The effect of varying particle size, particle
content and temperature on the stresses in the composite cylinder has been analyzed. The study
revealed that the stress distributions in the cylinder do not vary significantly for various combinations
of particle size, particle content and operating temperature except for slight variation observed for
varying particle content. Functionally Graded Materials (FGMs) emerged and led to the development
of superior heat resistant materials.
Energy Audit is the systematic process for finding out the energy conservation
opportunities in industrial processes. The project carried out studies on various energy conservation
measures application in areas like lighting, motors, compressors, transformer, ventilation system etc.
In this investigation, studied the technical aspects of the various measures along with its cost benefit
analysis.
Investigation found that major areas of energy conservation are-
1. Energy efficient lighting schemes.
2. Use of electronic ballast instead of copper ballast.
3. Use of wind ventilators for ventilation.
4. Use of VFD for compressor.
5. Transparent roofing sheets to reduce energy consumption.
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Testing Model Of Development Organic Farming Dragon Fruit Based Market Research
1. International
OPEN ACCESS Journal
Of Modern Engineering Research (IJMER)
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Testing Model Of Development Organic Farming Dragon Fruit Based Market Research Kustiawati Ningsih1, Halimatus Sakdiyah2, Herman Felani3 1,3Agribusiness Study Program, Faculty Of Agriculture, University of Islam Madura, INDONESIA 2Fakulty Of Economics, University of Islam Madura, INDONESIA
1ningsihkustiawati@yahoo.com, 2hsfeuim@yahoo.com, 3felani.here@yahoo.com
I. INTRODUCTION
Based on the model of the development of organic farming through the dragon fruit QSPM matrix method that has been obtained, priorities resulting organic agriculture development strategy that optimizes the dragon fruit quality control on products and existing markets (STAS = 5.607) as shown in Figure 1. So that further research needs to be done is to optimize the cultivation practices of organic farming dragon fruit thoroughly and improve product quality. Therefore, the need for an understanding of the concepts of technical and non- technical agriculture by the farmers so that they can ensure the process will go well as expected. Marketing of organic dragon fruit is still in the traditional markets that need to be expanded. Therefore, the expansion of the market can still be done, especially for supermarkets located in the city of Pamekasan. Before expanding market, as manufacturers must know and analyze the factors that influence consumer decisions in the purchase of organic dragon fruit. Research related to the analysis of the factors that influence consumer decisions in the purchase of a product has been done. One of the research is less common genital Indrayani et al (2013) about the factors that influence the consumer's decision to purchase dairy products Ultra High Temperature (UHT), The results showed that the results of data analysis showed the factors that influence consumer buying UHT milk is the selling price, the price of rival products, flavor, nutritional composition, addition of these results it can be seen that the dominant independent variable which determines the purchasing decisions in buying products UHT milk in Supermarkets Persada is a dairy flavor factor. Other research is Haliana study (2012) on the analysis of the factors that influence consumer decisions in the purchase decision making instant noodles brand Indomie. The results showed that based on the results of tests performed found that all the factors of both the cultural, social, personal and psychological influence on product purchase decision Indomie Instant Noodles Brand. However, of the four most dominant factors are the cultural factors with a correlation value of 0.466 making purchasing decisions.
Abstract: This study aims to test the model of the development of organic farming dragon fruit which has been obtained in previous studies. This follow-up study to test the model that has been obtained, through a comprehensive marketing research by analyzing the factors which influence consumers purchasing organic dragon fruit Object of the research in Pamekasan, The method used is the analysis of factors that influence consumer buying decisions in determining organic dragon fruit. The data used is the 60 respondents, the number of variables studied were 23 variables, factor analysis is based on 22 variables that can be further analyzed. One variable ignored because the value of the MSA is less than 0.5, the results showed that of the 22 variables were analyzed. The results showed that of the 22 variables analyzed, there are 8 factors that influence consumers to buy organic dragon fruit, while the results of the 8 factors analyzed are: [1] Psychological (eigen value = 5,025), [2] The product (eigen value = 3,015), [3] Social (eigen value = 2,186), [4] Distribution (eigen value = 1.640), [5] Price (eigen value = 1.354), [6] Promotion (eigen value = 1,286), [7] Individuals (eigen value = 1,196), [8] Service (eigen value = 1.115), overall there are 3 of the most dominant factor affecting the marketing of organic dragon fruit, is the first factor of the product, the second is the social factor and the third factor is the price.
Keywords: marketing research, organic farming dragon fruit, factor analysis
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Figure 1. Model Development of Organic Farming Dragon Fruit Based on the results of research that has been done some research, it can be seen that very many factors that influence the behavior or background for a consumer in making a purchase decision for a product whether it be a product that is tangible or intangible (service). Research of others will be used as a tool to test models of development of organic agriculture researcher dragon fruit is obtained in the first year of study.
II. RESEARCH METHODS
2.1. Location and time study
The research was conducted in the village of the District ban Blumbungan Pamekasan with 50 asl altitude, ± 6.4 hectares of land area. The region selected by purposive sampling because the organic dragon fruit production centers in Pamekasan, this study was conducted in April 2014 until July 2014.
2.2. Types and sources of data
The data used in this study consisted of primary and secondary data, namely:
Primary data
Primary data is data obtained directly from the field to conduct direct interviews with relevant parties in this case the Department of Agriculture, Office of Information Agriculture and Forestry Extension, Organic Farmers, Growers Semi Organic, Conventional Farmers, Local Community Leader, Initiator of Organic Farming, consumer / Market Participants Organic Products.
Secondary Data
Secondary data were obtained by collecting written sources or documents from the Office of the Village, District, Department of Agriculture, and from a variety of library books that no connection with this research.
2.3. Population, sample and research instrument
The population in this study are those related to the development of organic farming. Determination of the number of samples is not restricted but saw the development of research on information obtained through the questionnaire, interview and observation were performed. The sample interviewed are:
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Farmers who carry out the dragon fruit cultivation in semi organic and still tolerate the use of fertilizers /pesticides synthetic.
Conventional farmers in the cultivation process still relies on seeds, fertilizers and synthetic pesticides.
Prominent initiators / pioneers of organic farming
Local leaders of local
Government officials from the Department of Agriculture, Office of Information Agriculture and Forestry Extension, and the District.
Consumer / organic dragon fruit market participants Blumbungan.
2.4. Methods of data analysis
Data analysis methods used is factor analysis. Factor analysis equation or formula is as follows: X1 = Ai1F1 + Ai2F2 + Ai3F3 + Ai4F4 + ......... + ViUi ……………………. (1) Where : Fi = standardized variables to i Ai1 = regresidari coefficient to the variable i on unique factor to i Vi = standardized regression coefficient of variable i on factors unique to the ith F = common factor Ui = unique variable to variable to i M = number of common factors Details common factor can be formulated as follows: Fi = Wi1X1 + Wi2X2 + Wi3X3 + ..... + WikXk …………………………… (2) Where: Fi = Factor to estimate i Wi = Weighting factor or factor score coefficients Xk = Number of variables The main principle is the correlation factor analysis, the assumptions associated with statistical correlation methods:
a. Large correlation or correlation between variables must be sufficiently strong independet.
b. Large partial correlation, the correlation between two variables by assuming other variables remain.
c. Testing a correlation matrix is measured by the amount of Barlett Test Of Spericity or with Measure Sampling Adequacy (MSA).
Having obtained samples and test assumptions are met, then the next step is to make the process of factor analysis. The process includes:
a. Examine variables that will be analyzed.
b. Test variables have been determined, using the Bartlett Test of Spericity and MSA.
c. Core process of factor analysis, namely factoring, or decrease one or more factors of the variables that have passed the test of the previous variables.
d. Doing the rotation or rotation factor to the form factor. The purpose of the rotation to clarify the variables that go into a particular factor.
e. Interpretation or factors that have been formed, which is considered to represent the member variables of these factors.
f. Validation of the results of factors to determine whether the factors that have a valid form.
The first stage in the analysis was to assess which factors are variables that are considered eligible for inclusion in subsequent analyzes. The test is performed by entering all variables that exist, then the variables tested. Logic test if a variable does have a tendency to cluster and form a factor, the variable will have a fairly high correlation with other variables, but on the contrary, if the variables with weak correlations on the other variables, it will be less likely to be clustered in certain factors. KMO test and Bartlett Test, has some things that KMO numbers should be above 0.5 and significant must be below 0.05, whereas the MSA test numbers should be at 0 to 1, with the following criteria:
MSA = 1, the variable can be predicted without error by the other variables.
MSA> 0.5, and the predicted variables can still be analyzed further.
MSA <0.5, variables can not be predicted and could not be analyzed further, or excluded from other variables.
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III. RESULTS AND DISCUSSION
After the field data obtained, we then do a factor analysis method based on a predetermined, while the discussion phase of this study as follows:
3.1. Factor analysis
Data processing of the factor analysis are as follows:
1. Determining the variables to be analyzed.
Variables to be analyzed in this study were 23 variables, 23 variables are then tested by factor analysis.
2. Test variables have been determined
23 variables were tested then performed factor analysis to test the value of KMO, Bartlett Test and MSA (measures of sampling adequacy). MSA value must be above 0.5. Table I. KMO and Bartlett’s Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy
.651
Bartlett’s Test of Sperichity Approx Chi Square
1115.563
Df
139
Sig.
.000
From Table 1 above, it can be seen that the number of KMO and Bartlett Test worth 0.651 with a significance level of 0.000. Therefore, the variables and the sample can be analyzed further. Of the 23 variables tested, we then see the value of the MSA, If the MSA values below 0.5, then these variables can not be analyzed further. Of the 23 variables MSA smallest value is the income level of consumers of organic dragon fruit (Q17) with a value of 0.461 MSA, therefore, the income level of consumers of organic dragon fruit (Q17) were excluded from the factors because it has the smallest number of MSA. After a variable level of income consumers of organic dragon fruit removed from the factor, then the next step is to retest the 22 remaining variables. To see this, it can be seen in the value of KMO and Barlett's Test as well as the value of the MSA. Table II. KMO and Bartlett’s Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy
.665
Bartlett’s Test of Sperichity Approx Chi Square
1064.343
Df
175
Sig.
.000
From Table 2 above it can be concluded that the value of KMO and Barlett's Test increased from 0.651 into 0.665 with significant fixed rate (0.000). This is because there is a reduction in the variable with the smallest MSA figures, it can increase the value of existing MSA.
1. Organic Dragon Fruit flavor (Q1) = 0.763.
2. Organic Dragon Fruit Aroma (Q2) = 0.753.
3. Organic Dragon Fruit size (Q3) = 0.685.
4. Organic Dragon Fruit Leather (Q4) = 0.703.
5. Dragon Fruit Organic Resilience (Q5) = 0.649.
6. Organic Dragon Fruit Price (Q6) = 0.511.
7. Organic dragon fruit price suitability of the Health Benefits (Q7) = 0.557.
8. Organic Dragon Fruit Price Competition (Q8) = 0.625.
9. Promotion of Organic Pitaya (Q9) = 0.630.
10. Direct Marketing Organic Pitaya (Q10) = 0.614,
11. Affordability Location to Obtain Organic Pitaya (Q11) = 0.619.
12. Ease of Getting Organic Pitaya (Q12) = 0.639.
13. Seller Services Provided to Consumers (Q13) = 0.675.
14. Consumer Habits in Eating Organic Pitaya (Q14) = 0.685.
15. Healthy Lifestyle Trend (Q15) = 0.612.
16. Age Organic Dragon Fruit consumption (Q16) = 0.615.
17. Family Influence in Eating Organic Pitaya (Q17) = 0.596.
18. Influence Others in Eating Organic Pitaya (Q18) = 0.623.
19. Effect of Consuming role in Dragon Fruit Sellers (Q19) = 0.605.
20. Confidence Respondents in Eating Organic Pitaya (Q20) = 0.739.
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21. Respondents Perception in Eating Dragon Fruit (Q21) = 0.686.
22. Experience in Eating Dragon Fruit Respondents (Q22) = 0.633.
Thus the value of the MSA are all above 0.5, so it can be analyzed further.
3. Doing factoring and rotation
The next stage to extract the set of variables that already exist, to form one or several factors. In doing this extraction, the method used was Principal Component Analysis, formed after eight factors to determine the spread of the 22 variable factors, then the process is carried out using varimax rotation. Table 3 above shows that the variables Organic Dragon Fruit Flavour (Q1) resulted in approximately 67.5% of variance of the variables Q1, Organic Dragon Fruit Aroma variables (Q2) generates approximately 70.4% variance of the variables Q2, variable Size / Shape Organic Pitaya (Q3) resulted in 71.10% of variance of the variable Q3, Organic Dragon Fruit Leather variable (Q4) generates approximately 63.00% of the variance variable Q4, variable Dragon Fruit Organic Power Save (Q5) generates approximately 44.5% of the variance variable Q5, Organic Dragon Fruit Price variable (Q6) resulted in approximately 65.2% of the variance variable Q6, Suitability variable price Organic Dragon fruit on Health Benefits (Q7) generates approximately 58.3% of the variance variable Q7, variables Organic Dragon Fruit Price Competition (Q8) generates approximately 46.00% of the variance variable Q8, Organic Dragon Fruit Promotion variable (Q9) resulted in approximately 45.4% of the variance variable Q9, variable Direct Marketing Organic Pitaya (Q10) produces approximately 62.3% variance of the variable Q10. Affordability location to obtain organic pitaya (Q11) produces approximately 72.5% variance of the variables Q11, variables ease of getting organic pitaya (q12) generates approximately 75.8% variance of the variables Q12, variable seller services provided to consumers (q13) generates approximately 60.5% variance of the variables Q13, consumers eating habits variables in organic pitaya (Q14) produces approximately 72.5% variance of the variables Q14, Healthy Lifestyle Trend variable (Q15) produces approximately 72.5% variance of the variables Q15, Age variable in Eating Organic Pitaya (Q16) produces approximately 53.4% variance of the variables Q16, The influence of family variables in Eating Organic Pitaya (Q18) produces approximately 61.3% variance of the variables Q18, Others Influence variables in Eating Organic Pitaya (Q19) produces approximately 56.3% variance of the variables Q19, The influence of variables in Eating Dragon Fruit Sellers (Q20) produces approximately 58.4% variance of the variables Q20, Respondents Confidence variable in Eating Organic Pitaya (Q21) produces approximately 63.7% variance of the variables Q21, Respondents perception variables in Eating Dragon Fruit (Q22) produces approximately 78.6% of the variance of variables and variable Q22 Respondents experience in Eating Dragon Fruit (Q23) produces approximately 75.3% variance of the variable Q23.
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From table 4, it can be seen that there are 22 factors that go into factor analysis, but in the above table are only 8 factors formed, therefore researchers only limiting factor 8. After it is known that eight factors are the most optimal amount, then the component matrix table shows the distribution of the 22 variables on the eight factors formed. While the figures in the table is the factor loading, which indicates the magnitude of the correlation of a variable with a factor of 1 to 8 process will determine which variable will enter the factor which, carried by a large ratio of the correlation of each row. For example, Organic dragon fruit flavors (Q1) has some correlation, namely:
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1. Correlation between Q1 denganfaktor 1 is 0.483 (pretty, but weak as below 0.5).
2. Correlation between Ql by a factor of 2 is 0.354 (weak, below 0.5).
3. Correlation between Q1 by a factor of 3 is -0.357 (very weak, below 0.5)
4. Correlation between Q1 by a factor of 4 is -0.219 (very weak, below 0.5).
5. Correlation between Q1 by a factor of 5 is -0.230 (very weak, below 0.5).
6. Correlation between Q1 by a factor of 6 is -0.147 (very weak, below 0.5).
7. Correlation between Ql by a factor of 7 is -0.156 (very weak, below 0.5).
8. Correlation between Ql by a factor of 8 is -0.053 (very weak, below 0.5).
According Singgih Santoro (2004), that the distribution of the variable component matrix shows that there is the form factor. While the figures in the table is the factor loading matrix component shows a large correlation between a variable with factors there. Rotated component matrix shows the distribution of the more real variables, Table 6 below shows the change in the value of the variable. From Table 6 above, can be explained for example we take the variable organic dragon fruit flavors (Ql), the greatest factor loading is on factor 2 with the value of 0.736, it means organic dragon fruit flavors are at a factor of 2. Therefore the 22 variables above, reduced to eight factors, namely:
1. The first factor consists of: Consumer Habits in Eating Organic Dragon Fruit, Respondent Confidence in Eating Organic Dragon Fruit, Respondents Perception in Eating Organic Dragon Fruit, Respondents experience in Eating Organic Dragon Fruit.
2. The second factor consists of: Organic Dragon Fruit Flavour, Aroma Organic Pitaya, Dragon Fruit Size Organic, Organic Skin Pitaya, Dragon Fruit Organic Resilience.
3. The third factor consists of: The influence of the family in Eating Organic Dragon Fruit, Influence Others in Eating Organic Dragon Fruit, Influence Sellers in Eating Organic Dragon Fruit.
4. The fourth factor consists of: dragon fruit price Organic, Healthy Lifestyle Trend, Affordability Location to Obtain Organic Pitaya, Dragon Fruit Organic Ease of Getting.
5. The fifth factor consists of: dragon fruit price Conformance to the Health Benefits of Organic, Organic Dragon Fruit Price Competition.
6. The sixth factor consists of: Promotion of Organic Pitaya, Dragon Fruit Organic Direct Marketing.
7. Seventh factor consisted of: age in Eating Organic Dragon Fruit.
8. Eighth factor consists of: Services provided by the Seller to the Customer.
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According Singgih Santoro (2004), that the distribution of the variable component matrix shows that there is the form factor. While the figures in the table is the factor loading matrix component shows a large correlation between a variable with factors there. Rotated component matrix shows the distribution of the more real variables, Table 7 below shows the change in the value of the variable. From table 7 above, can be explained that the diagonal factor of 1 to 8 was obtained (0.426; 0505; 0.525; 0.476; 0.552, -0.28, 0.415, -0.560). Number with a minus sign (-) indicates the direction of the correlation, while the diagonal which shows a figure below 0.5 which indicates the presence of other components contained in each of the factors that have a higher correlation. Therefore, there are three factors whose value is above 0.5, namely: a factor of 2 (0.505), factor 3 (0.525), and a factor of 5 (0.552).
3.2. Interpretation of factors that have formed
If factor and rotation has been performed, the next step is to interpret the factors that have been formed. This is done in order to represent the member variables of these factors. Giving the name of each factor is determined based on the variables in it (Hasan & Saputro, 2007). Based on the results of these studies it is known that psychological factors, products, social, distribution, pricing, promotion, and greatly affect the individual consumer. Important part of the consumer buying process is Psychological Factors, Kotler (2000) states that the consumer into buying a product can be affected by several things: motivation, perception, experience and confidence. Based on the analysis of these factors can be concluded that consumers in buying organic dragon fruit has a variety of reasons but the determining factor of consumer psychology into their buying decisions determining the dragon fruit.
IV. CONCLUSION
Based on the above analysis of marketing research are modeling the factors that influence consumers in deciding to buy organic dragon fruit, so it can be concluded that there are eight most influential factor for determining consumers to buy organic dragon fruit, namely:
Psychological factors consist of the variable: Consumer Habits in Eating Organic Pitaya (FL = 0.427), Respondent Confidence in Eating Organic Pitaya (FL = 0.658), Respondents Perception in Eating Organic Pitaya (FL = 0.725), the Respondents Consuming Experience Organic Dragon Fruit (FL = 0.649).
Product factors consists of several variables: Organic Dragon Fruit Flavour (FL = 0.736), Dragon Fruit Aroma Organics (FL = 0.775), Organic Dragon Fruit Size (FL = 0.738), Organic Dragon Fruit Leather (FL = 0.730), Resilience Dragon Fruit organic (FL = 0.490).
Social factors consists of several variables: The influence of the family in Eating Organic Pitaya (FL = 0.587), Influence of Others in Eating Organic Pitaya (FL = 0.468), Effect of Seller in Eating Organic Pitaya (FL = 0.479).
Distribution factor consists of several variables that include: Organic Dragon Fruit Price (FL = 0.627), Healthy Lifestyle Trend (FL = 0.648), Affordability Location to Obtain Organic Pitaya (FL = 0.678), Ease of Getting Organic Pitaya (FL = 0.705).
Price factor consists of several variables that include: Dragon Fruit Organic Conformity Price on Health Benefits (FL = 0.490), Organic Dragon Fruit Price Competition (FL = 0.497).
Factors Promotion consists of several variables that include: Promotion of Organic Organic Pitaya (FL = 0.425), Direct Marketing Organic Organic Pitaya (FL = 0.570).
Individual factors consist of variables: age in Eating Organic Pitaya (FL = 0.479).
Service consists of variable factors: Services provided by the Seller to the Customer (FL = 0.692).
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