This document discusses the development of an online product monitoring system for the Department of Trade and Industry using data flow diagrams. It examines three levels of data flow diagrams - context, logical, and hierarchical input/output diagrams. The context diagram shows access rights for different user types like administrators and consumers. The logical diagram defines specific user access rights and modules. The hierarchical input/output diagrams aid in general system design and module programming, showing registration, access control, and other processes. The data flow diagrams are intended to enhance security, order, and management of data inputs and outputs in the online system.
Build a centralized Blood bank management system. Registered for a developer edition, created an app using all custom objects, workflow rules, validations, Master-detail relationships and lookup relationships. To facilitate the process used different
email templates, tasks. Uploaded randomly generated data to all the fields and generated reports, dashboards and insights for analysis
Below are the topics covered in this tutorial:
What is Data Visualization?
What is Tableau?
Why Tableau?
Tableau Job Trends
Companies using Tableau
Who should go for Tableau?
Tableau Architecture
Tableau Visualizations
Real time Use Case
This topic is covered under Data modelling and implementation. This project looks after an efficient billing management in a medical store. it includes a flow chart, data flow diagram, normalization etc.
The document discusses association rule mining and the Apriori algorithm. It defines key concepts in association rule mining such as frequent itemsets, support, confidence, and association rules. It also explains the steps in the Apriori algorithm to generate frequent itemsets and rules, including candidate generation, pruning infrequent subsets, and determining support. An example transaction database is used to demonstrate calculating support and confidence for rules and illustrate the Apriori algorithm.
Railway management system, database mini projectshashank reddy
ย
This document describes a database project for a railway reservation system. It includes entities like users, passengers, trains, stations, tickets. It provides the entity relationship diagram and normalized database schema. It also includes sample SQL commands to create the tables and insert sample data into the tables. The tables created are for users, trains, stations, train status, tickets, passengers and relationship tables for starts, reaches, stops_at and books.
THIS PPT HELP STUDENT FOR THE JAVA BASED MINIPROJECT AND ALSO HELP TO PEOPLE WHO HAD A STORE OF GROCERY AND HELP TO MANAGED THEIR STORE THROUGH REFFER OF PPT
SUSHRUTA is an application developed for Pharmacy automation. All the process to be happened in a pharmacy can be done through this application and it will store the data in cloud. Also it will generate reports.
Build a centralized Blood bank management system. Registered for a developer edition, created an app using all custom objects, workflow rules, validations, Master-detail relationships and lookup relationships. To facilitate the process used different
email templates, tasks. Uploaded randomly generated data to all the fields and generated reports, dashboards and insights for analysis
Below are the topics covered in this tutorial:
What is Data Visualization?
What is Tableau?
Why Tableau?
Tableau Job Trends
Companies using Tableau
Who should go for Tableau?
Tableau Architecture
Tableau Visualizations
Real time Use Case
This topic is covered under Data modelling and implementation. This project looks after an efficient billing management in a medical store. it includes a flow chart, data flow diagram, normalization etc.
The document discusses association rule mining and the Apriori algorithm. It defines key concepts in association rule mining such as frequent itemsets, support, confidence, and association rules. It also explains the steps in the Apriori algorithm to generate frequent itemsets and rules, including candidate generation, pruning infrequent subsets, and determining support. An example transaction database is used to demonstrate calculating support and confidence for rules and illustrate the Apriori algorithm.
Railway management system, database mini projectshashank reddy
ย
This document describes a database project for a railway reservation system. It includes entities like users, passengers, trains, stations, tickets. It provides the entity relationship diagram and normalized database schema. It also includes sample SQL commands to create the tables and insert sample data into the tables. The tables created are for users, trains, stations, train status, tickets, passengers and relationship tables for starts, reaches, stops_at and books.
THIS PPT HELP STUDENT FOR THE JAVA BASED MINIPROJECT AND ALSO HELP TO PEOPLE WHO HAD A STORE OF GROCERY AND HELP TO MANAGED THEIR STORE THROUGH REFFER OF PPT
SUSHRUTA is an application developed for Pharmacy automation. All the process to be happened in a pharmacy can be done through this application and it will store the data in cloud. Also it will generate reports.
A Study on Credit Card Fraud Detection using Machine Learningijtsrd
ย
Due to the high level of growth in each number of transactions done using credit card has led to high rise in fraudulent activities. Fraud is one of the major issues related to credit card business, since each individual do more of offline or online purchase of product via internet there is need to developed a secured approach of detecting if the credit card been used is a fraudulent transaction or not. Pattern involves in the fraud detection has to be re analyze to change from reactive approach to a proactive approach. In this paper, our objectives are to detect at least 95 of fraudulent activities using machine learning to deployed anomaly detection system such as logistic regression, k nearest neighbor and support vector machine algorithm. Ajayi Kemi Patience | Dr. Lakshmi J. V. N "A Study on Credit Card Fraud Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30688.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30688/a-study-on-credit-card-fraud-detection-using-machine-learning/ajayi-kemi-patience
This document discusses how data mining can be used in the retail industry. It begins by introducing how retail industries collect large amounts of customer data. It then describes some of the major applications of retail data mining, including identifying customer behaviors, discovering shopping patterns and trends, and improving customer service. The document also outlines some common problems retail industries face, such as employee turnover, auditing issues, and economic challenges. It provides examples of how data mining can help with risk management, fraud detection, and acquiring/retaining customers. In conclusion, the document states data mining allows retailers to better understand customer needs based on purchase histories to target promotions and incentives.
This document provides details about a blood bank management system project completed from January to June 2020. It includes an introduction, problem statement, methodology, introduction to cloud computing and Salesforce basics. The methodology section includes ER diagram, block diagram, class diagram and data flow diagrams. The document also describes modules developed for the system including login, registration, home, donor, data, profile, and blood request modules.
Informatica PowerCenter is an ETL tool used to extract data from source systems like OLTP databases, transform it to meet business needs, and load it into data warehouses like OLAP systems. It provides capabilities for understanding, cleaning, and modifying source data as well as assigning keys and loading data into the target. Mappings in PowerCenter define the ETL process. PowerCenter has been released in multiple versions since 2002 and is used by companies to integrate and move data between different systems.
CUSTOMER SEGMENTATION IN SHOPPING MALL USING CLUSTERING IN MACHINE LEARNINGIRJET Journal
ย
This document discusses using clustering algorithms in machine learning to segment customers in a shopping mall. It aims to identify groups of customers with similar characteristics like gender, age, spending habits to more effectively market to each group. Specifically, it uses k-means clustering to segment customers and visualize differences in gender and age. It then examines their annual income and proposes that segmentation focuses on improving customer spending scores. The proposed system uses machine learning approaches like k-means clustering which is more accurate and efficient than traditional manual methods for analyzing customer data and finding insights to identify customer segments.
Railways reservation system using socket programmingUtkarsh Sharma
ย
This document presents a railway reservation system using socket programming in C language. It aims to provide a faster and more efficient reservation process where users can book tickets without filling forms. The system allows users to book, cancel, and view ticket details. It is implemented using socket programming to improve reliability and extensibility. The system manages railway operations, fares, and timetables through a client-server model connected to a database. The objectives are to view train schedules and routes, implement a chat server, view seat availability, and view ticket statuses. It uses file handling to store data and sockets for communication between the server and clients.
A data warehouse stores current and historical data for analysis and decision making. It uses a star schema with fact and dimension tables. The fact table contains measures that can be aggregated and connected to dimension tables through foreign keys. Dimensions describe the facts and contain descriptive attributes to analyze measures over time, products, locations etc. This allows analyzing large volumes of historical data for informed decisions.
The document discusses the development of a blood management information system to assist in managing blood donor records and distributing blood supplies based on hospital demands. It aims to provide quick access to donor records, enable monitoring of donation activities, and generate timely reports to facilitate planning and decision making. The system was designed to address challenges with the previous paper-based system, such as delays in accessing records, data errors, and lack of security and confidentiality of medical information. It analyzes requirements for the new electronic system and compares other blood donor management systems to identify successes and limitations.
ER diagrams for blood bank management systemSoham Nanekar
ย
It contains information for the blood bank management system,it's scope, requirements specification.
It also contains ER digram,use case diagram,class digram, sequence digram, collaboration digram, activity digram ,state chart digram, component digram and deployment digram for blood bank management system.
1. Machine learning is a branch of artificial intelligence concerned with algorithms that allow computers to learn from data without being explicitly programmed.
2. A major focus is automatically learning patterns from training data to make intelligent decisions on new data. This is challenging since the set of all possible behaviors given all inputs is too large to observe completely.
3. Machine learning is applied in areas like search engines, medical diagnosis, stock market analysis, and game playing by developing algorithms that improve automatically through experience. Decision trees, Bayesian networks, and neural networks are common algorithms.
ADVANCED SYSTEM ANALYSIS On Automated Library Management SystemUraz Pokharel
ย
This document provides an analysis of different methodologies that could be used to develop an automated library management system for Islington College, ultimately selecting eXtreme Programming (XP). It examines SSADM, DSDM, Scrum, and XP methodologies, finding that SSADM emphasizes documentation too much, DSDM focuses on prototypes over products, and Scrum is better suited for larger projects with changing requirements. XP is determined to be the best fit as it can deliver a working product with clear requirements and emphasizes team collaboration needed for integration. The document outlines the project plan, design documents, and interfaces that will be developed following the XP methodology.
Data Warehouse โ Introduction, characteristics, architecture, scheme and modelling, Differences between operational database systems and data warehouse.
The bank management system is an application that allows customers to create and manage bank accounts. It provides functionality for customers to open new accounts, deposit and withdraw funds, and view reports on all accounts. The document outlines the requirements, functionality, and design of the system.
The document describes a student management system created by a group of students. The system allows authorized users to access academic records of registered students and simplifies operations for educational institutions. It handles student details like personal information, course and college details, and academic records. The system was developed to automate a manual student management process and reduce costs and errors compared to the previous system. It has functionalities like creating, deleting, updating, and searching student records.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, and job-oriented skills over 50-60 hours. Students learn how to rapidly analyze data, create dashboards and reports, and share analytics using features of Tableau. The course also provides skills needed for roles like business analyst, data scientist, and Tableau developer.
Data warehousing and Business intelligence project on Tourism sector's impact...SindhujanDhayalan
ย
This document describes a data warehousing and business intelligence project analyzing the impact of tourism on Ireland's economy. Data from sources like the Central Statistics Office, Eurostat, Failteireland.ie, and Statista will be used to gain insights into factors like the types of outbound tourists contributing to revenue, tourist spending patterns, and how tourism growth affects Irish residents. A star schema with dimensions like year and facts like revenue will be implemented to enable analysis of the project's business requirements through OLAP querying.
Credit Card Fraud Detection Using Unsupervised Machine Learning AlgorithmsHariteja Bodepudi
ย
This document summarizes a research paper that uses unsupervised machine learning algorithms to detect credit card fraud. It describes how credit card fraud has increased with the rise of online shopping and payments. Unsupervised algorithms are well-suited for this task since labeled fraud data can be difficult to obtain. The paper tests Isolation Forest, Local Outlier Factor, and One Class SVM on a credit card transaction dataset to find anomalies (fraudulent transactions). Isolation Forest achieved the highest accuracy at 99.74%, slightly outperforming Local Outlier Factor, while One Class SVM had much lower accuracy. The paper concludes unsupervised algorithms are effective for anomaly detection tasks like credit card fraud detection.
Synopsis for Online Railway Railway Reservation SystemZainabNoorGul
ย
This document proposes an online railway management system to reduce paperwork, improve efficiency and provide online services. It aims to automate reservation status, provide online payment and a user-friendly interface for administrators, reservation counters and passengers. The system will use Visual Studio, SQL Server, ASP.NET, C#, HTML, CSS and JavaScript. It is estimated to take 15 weeks to implement through requirements analysis, design, coding, testing and implementation phases.
Net-Pd.Com is a pioneering police management system that aims to simplify police work by minimizing paperwork and focusing on effective report creation and record maintenance through integrated online modules. It provides client-centric customizations and cost-effective real-time software and services to police departments across the US, including records management, computer-aided dispatch, and mobile solutions. Net-Pd.Com focuses on police work over paperwork by using digital technology to create and maintain records in real-time.
Online Poverty Alleviation System in Bangladesh ContextIRJET Journal
ย
The document describes a proposed online poverty alleviation system for Bangladesh that would:
1) Collect data on people through surveys to analyze the root causes of poverty based on social indicators.
2) Group people based on criteria like monthly income and residence.
3) Recommend destitute people to associated institutions that could help them overcome poverty.
The system was designed with data flow diagrams and entity relationship diagrams to represent the data and information flows. It would allow surveyors to input data, analyze the inputs to identify poverty causes, and recommend solutions to institutions.
The document discusses the Software Development Life Cycle (SDLC), which is a process used in software engineering to design, develop, and test high-quality software. It describes the main phases of SDLC as planning, defining, designing, building, and testing. Key activities in each phase like feasibility study, requirement analysis, prototyping are explained. Various tools used for system analysis and design such as data flow diagrams, flow charts are also outlined.
A Study on Credit Card Fraud Detection using Machine Learningijtsrd
ย
Due to the high level of growth in each number of transactions done using credit card has led to high rise in fraudulent activities. Fraud is one of the major issues related to credit card business, since each individual do more of offline or online purchase of product via internet there is need to developed a secured approach of detecting if the credit card been used is a fraudulent transaction or not. Pattern involves in the fraud detection has to be re analyze to change from reactive approach to a proactive approach. In this paper, our objectives are to detect at least 95 of fraudulent activities using machine learning to deployed anomaly detection system such as logistic regression, k nearest neighbor and support vector machine algorithm. Ajayi Kemi Patience | Dr. Lakshmi J. V. N "A Study on Credit Card Fraud Detection using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30688.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30688/a-study-on-credit-card-fraud-detection-using-machine-learning/ajayi-kemi-patience
This document discusses how data mining can be used in the retail industry. It begins by introducing how retail industries collect large amounts of customer data. It then describes some of the major applications of retail data mining, including identifying customer behaviors, discovering shopping patterns and trends, and improving customer service. The document also outlines some common problems retail industries face, such as employee turnover, auditing issues, and economic challenges. It provides examples of how data mining can help with risk management, fraud detection, and acquiring/retaining customers. In conclusion, the document states data mining allows retailers to better understand customer needs based on purchase histories to target promotions and incentives.
This document provides details about a blood bank management system project completed from January to June 2020. It includes an introduction, problem statement, methodology, introduction to cloud computing and Salesforce basics. The methodology section includes ER diagram, block diagram, class diagram and data flow diagrams. The document also describes modules developed for the system including login, registration, home, donor, data, profile, and blood request modules.
Informatica PowerCenter is an ETL tool used to extract data from source systems like OLTP databases, transform it to meet business needs, and load it into data warehouses like OLAP systems. It provides capabilities for understanding, cleaning, and modifying source data as well as assigning keys and loading data into the target. Mappings in PowerCenter define the ETL process. PowerCenter has been released in multiple versions since 2002 and is used by companies to integrate and move data between different systems.
CUSTOMER SEGMENTATION IN SHOPPING MALL USING CLUSTERING IN MACHINE LEARNINGIRJET Journal
ย
This document discusses using clustering algorithms in machine learning to segment customers in a shopping mall. It aims to identify groups of customers with similar characteristics like gender, age, spending habits to more effectively market to each group. Specifically, it uses k-means clustering to segment customers and visualize differences in gender and age. It then examines their annual income and proposes that segmentation focuses on improving customer spending scores. The proposed system uses machine learning approaches like k-means clustering which is more accurate and efficient than traditional manual methods for analyzing customer data and finding insights to identify customer segments.
Railways reservation system using socket programmingUtkarsh Sharma
ย
This document presents a railway reservation system using socket programming in C language. It aims to provide a faster and more efficient reservation process where users can book tickets without filling forms. The system allows users to book, cancel, and view ticket details. It is implemented using socket programming to improve reliability and extensibility. The system manages railway operations, fares, and timetables through a client-server model connected to a database. The objectives are to view train schedules and routes, implement a chat server, view seat availability, and view ticket statuses. It uses file handling to store data and sockets for communication between the server and clients.
A data warehouse stores current and historical data for analysis and decision making. It uses a star schema with fact and dimension tables. The fact table contains measures that can be aggregated and connected to dimension tables through foreign keys. Dimensions describe the facts and contain descriptive attributes to analyze measures over time, products, locations etc. This allows analyzing large volumes of historical data for informed decisions.
The document discusses the development of a blood management information system to assist in managing blood donor records and distributing blood supplies based on hospital demands. It aims to provide quick access to donor records, enable monitoring of donation activities, and generate timely reports to facilitate planning and decision making. The system was designed to address challenges with the previous paper-based system, such as delays in accessing records, data errors, and lack of security and confidentiality of medical information. It analyzes requirements for the new electronic system and compares other blood donor management systems to identify successes and limitations.
ER diagrams for blood bank management systemSoham Nanekar
ย
It contains information for the blood bank management system,it's scope, requirements specification.
It also contains ER digram,use case diagram,class digram, sequence digram, collaboration digram, activity digram ,state chart digram, component digram and deployment digram for blood bank management system.
1. Machine learning is a branch of artificial intelligence concerned with algorithms that allow computers to learn from data without being explicitly programmed.
2. A major focus is automatically learning patterns from training data to make intelligent decisions on new data. This is challenging since the set of all possible behaviors given all inputs is too large to observe completely.
3. Machine learning is applied in areas like search engines, medical diagnosis, stock market analysis, and game playing by developing algorithms that improve automatically through experience. Decision trees, Bayesian networks, and neural networks are common algorithms.
ADVANCED SYSTEM ANALYSIS On Automated Library Management SystemUraz Pokharel
ย
This document provides an analysis of different methodologies that could be used to develop an automated library management system for Islington College, ultimately selecting eXtreme Programming (XP). It examines SSADM, DSDM, Scrum, and XP methodologies, finding that SSADM emphasizes documentation too much, DSDM focuses on prototypes over products, and Scrum is better suited for larger projects with changing requirements. XP is determined to be the best fit as it can deliver a working product with clear requirements and emphasizes team collaboration needed for integration. The document outlines the project plan, design documents, and interfaces that will be developed following the XP methodology.
Data Warehouse โ Introduction, characteristics, architecture, scheme and modelling, Differences between operational database systems and data warehouse.
The bank management system is an application that allows customers to create and manage bank accounts. It provides functionality for customers to open new accounts, deposit and withdraw funds, and view reports on all accounts. The document outlines the requirements, functionality, and design of the system.
The document describes a student management system created by a group of students. The system allows authorized users to access academic records of registered students and simplifies operations for educational institutions. It handles student details like personal information, course and college details, and academic records. The system was developed to automate a manual student management process and reduce costs and errors compared to the previous system. It has functionalities like creating, deleting, updating, and searching student records.
Bound Tech is a top institute that provides hands-on Tableau training taught by experienced trainers using real-world scenarios and examples. The training covers fundamental concepts, advanced concepts, and job-oriented skills over 50-60 hours. Students learn how to rapidly analyze data, create dashboards and reports, and share analytics using features of Tableau. The course also provides skills needed for roles like business analyst, data scientist, and Tableau developer.
Data warehousing and Business intelligence project on Tourism sector's impact...SindhujanDhayalan
ย
This document describes a data warehousing and business intelligence project analyzing the impact of tourism on Ireland's economy. Data from sources like the Central Statistics Office, Eurostat, Failteireland.ie, and Statista will be used to gain insights into factors like the types of outbound tourists contributing to revenue, tourist spending patterns, and how tourism growth affects Irish residents. A star schema with dimensions like year and facts like revenue will be implemented to enable analysis of the project's business requirements through OLAP querying.
Credit Card Fraud Detection Using Unsupervised Machine Learning AlgorithmsHariteja Bodepudi
ย
This document summarizes a research paper that uses unsupervised machine learning algorithms to detect credit card fraud. It describes how credit card fraud has increased with the rise of online shopping and payments. Unsupervised algorithms are well-suited for this task since labeled fraud data can be difficult to obtain. The paper tests Isolation Forest, Local Outlier Factor, and One Class SVM on a credit card transaction dataset to find anomalies (fraudulent transactions). Isolation Forest achieved the highest accuracy at 99.74%, slightly outperforming Local Outlier Factor, while One Class SVM had much lower accuracy. The paper concludes unsupervised algorithms are effective for anomaly detection tasks like credit card fraud detection.
Synopsis for Online Railway Railway Reservation SystemZainabNoorGul
ย
This document proposes an online railway management system to reduce paperwork, improve efficiency and provide online services. It aims to automate reservation status, provide online payment and a user-friendly interface for administrators, reservation counters and passengers. The system will use Visual Studio, SQL Server, ASP.NET, C#, HTML, CSS and JavaScript. It is estimated to take 15 weeks to implement through requirements analysis, design, coding, testing and implementation phases.
Net-Pd.Com is a pioneering police management system that aims to simplify police work by minimizing paperwork and focusing on effective report creation and record maintenance through integrated online modules. It provides client-centric customizations and cost-effective real-time software and services to police departments across the US, including records management, computer-aided dispatch, and mobile solutions. Net-Pd.Com focuses on police work over paperwork by using digital technology to create and maintain records in real-time.
Online Poverty Alleviation System in Bangladesh ContextIRJET Journal
ย
The document describes a proposed online poverty alleviation system for Bangladesh that would:
1) Collect data on people through surveys to analyze the root causes of poverty based on social indicators.
2) Group people based on criteria like monthly income and residence.
3) Recommend destitute people to associated institutions that could help them overcome poverty.
The system was designed with data flow diagrams and entity relationship diagrams to represent the data and information flows. It would allow surveyors to input data, analyze the inputs to identify poverty causes, and recommend solutions to institutions.
The document discusses the Software Development Life Cycle (SDLC), which is a process used in software engineering to design, develop, and test high-quality software. It describes the main phases of SDLC as planning, defining, designing, building, and testing. Key activities in each phase like feasibility study, requirement analysis, prototyping are explained. Various tools used for system analysis and design such as data flow diagrams, flow charts are also outlined.
This document discusses various techniques used in software project management including CRUD matrices, Gantt charts, PERT charts, feasibility analysis, and cost-benefit analysis. A CRUD matrix identifies the database tables involved in create, read, update, and delete operations for different user scenarios of a website. Gantt charts show project activities and timelines while PERT charts illustrate task dependencies in a project. Feasibility analysis evaluates the technical, economic, operational, and legal viability of a project. Cost-benefit analysis compares monetary costs and benefits to determine if a project's benefits outweigh its costs. These techniques help software project managers effectively plan, schedule, and control development projects.
This document discusses big data and tools for analyzing big data. It defines big data as very large data sets that are difficult to analyze using traditional data management systems due to the volume, variety and velocity of the data. It describes characteristics of big data including the 5 V's: volume, variety, velocity, veracity and value. It also discusses some common tools for analyzing big data, including MapReduce, Apache Hadoop, Apache Mahout and Apache Spark. Finally, it briefly mentions the potential of quantum computing for big data analysis by being able to process exponentially large amounts of data simultaneously.
Controlling Anti Ragging System using AndroidIRJET Journal
ย
This document describes a proposed Android app called the "Controlling Anti Ragging System" to address the issue of ragging (harassment/bullying of younger students by older ones) in Indian educational institutions. The key features of the app include:
1) An automatic alert system that sends a message to administrators if a user shakes their phone to report an incident of ragging.
2) Emergency contact details for administrators like the principal and dean to file complaints directly.
3) An option for users to post details of their complaint and view the status of previously posted complaints.
4) The proposed system is designed to make it easy for users to report ragging incidents immediately so timely action can
Emotion Recognition By Textual Tweets Using Machine LearningIRJET Journal
ย
This document discusses using machine learning techniques to perform sentiment analysis on tweets in order to predict election results in India. It begins with an introduction to sentiment analysis and how it can be applied to social media tweets. It then discusses existing methods for sentiment analysis that have certain disadvantages. The proposed system aims to improve accuracy by using techniques like Naive Bayes classification, support vector machines, decision trees, and long short-term memory networks. It presents the system design, implementation details using Python and various machine learning algorithms, and testing of the system to classify tweets by emotion and predict election outcomes.
IRJET- Improved Real-Time Twitter Sentiment Analysis using ML & Word2VecIRJET Journal
ย
This document discusses improving real-time Twitter sentiment analysis using machine learning and Word2Vec. It begins by introducing sentiment analysis and its importance for product analysis and business. Next, it describes extracting Twitter data using APIs, preprocessing it, and applying machine learning algorithms like Naive Bayes, logistic regression, and decision trees to classify tweets as expressing positive, negative or neutral sentiment. It also reviews literature on using techniques like linguistic analysis and ensemble models to improve sentiment analysis from social media sources.
The project is to ask college related queries and get the responses through a chatbot an Artificial Conversational Entity. This System is a web application which provides answer to the query of the student. Students just have to query through the bot which is used for chatting. Students can chat using any format there is no specific format the user has to follow. This system helps the student to be updated about the college activities.
IRJET- Monitoring Suspicious Discussions on Online Forums using Data MiningIRJET Journal
ย
1) The document discusses monitoring suspicious discussions on online forums using data mining techniques. It aims to reduce suspicious activity, notify administrators of malicious users, and identify and convert negative words.
2) It proposes collecting data from forums, analyzing it using naive Bayes classification in Python to identify positive and negative sentiment, and replacing negative words with asterisks while notifying the administrator.
3) The method architecturally involves users logging into a forum, discussions being monitored for suspicious words, and administrators getting notified if detected along with users getting warned. It concludes the objectives of monitoring forums are satisfied.
Developing Sales Information System Application using Prototyping ModelEditor IJCATR
ย
This research aimed to develop the system that be able to manage the sales transaction, so the transaction services will be
more quickly and efficiently. The system has developed using prototyping model, which have steps including: 1) communication and
initial data collection, 2) quick design, 3) formation of prototyping, 4) evaluation of prototyping, 5) repairing prototyping, and 6) the
final step is producing devices properly so it can used by user. The prototyping model intended to adjust the system in accordance with
its use later, made in stages so that the problems that arise will be immediately addressed. The results of this research is a software
which have consumer transaction services including the purchasing services, sale, inventory management, and report for management
needed purpose. Based on questionnaires given to 18 respondents obtained information on the evaluation system built, among others:
1) 88% strongly agree and 11% agree, the application can increase effectiveness and efficiently the organizations/enterprises; 2) 33%
strongly agree, 62 agree, and 5% not agree, the application can meet the needs of organization/enterprise
Developing Sales Information System Application using Prototyping ModelEditor IJCATR
ย
This research aimed to develop the system that be able to manage the sales transaction, so the transaction services will be more quickly and efficiently. The system has developed using prototyping model, which have steps including: 1) communication and initial data collection, 2) quick design, 3) formation of prototyping, 4) evaluation of prototyping, 5) repairing prototyping, and 6) the final step is producing devices properly so it can used by user. The prototyping model intended to adjust the system in accordance with its use later, made in stages so that the problems that arise will be immediately addressed. The results of this research is a software which have consumer transaction services including the purchasing services, sale, inventory management, and report for management needed purpose. Based on questionnaires given to 18 respondents obtained information on the evaluation system built, among others: 1) 88% strongly agree and 11% agree, the application can increase effectiveness and efficiently the organizations/enterprises; 2) 33% strongly agree, 62 agree, and 5% not agree, the application can meet the needs of organization/enterprise.
IRJET- Comparative Analysis of Various Tools for Data Mining and Big Data...IRJET Journal
ย
This document compares and analyzes various tools for data mining and big data mining. It discusses traditional open source data mining tools like Orange, R, Weka, Shogun, Rapid Miner and KNIME. Each tool has different capabilities for data preprocessing, machine learning algorithms, visualization, platforms and programming languages. The document aims to help researchers select the most appropriate data mining tool for their needs and research.
Implementation of Sentimental Analysis of Social Media for Stock Prediction ...IRJET Journal
ย
This document describes a framework for predicting future stock prices based on sentiment analysis of social media data from Twitter. The framework collects tweets related to Apple Inc. over 3 months, performs sentiment analysis to classify tweets as positive or negative, and uses an ARIMA model to predict stock prices based on the sentiment values and past stock price data. The results show that predictions using tweets containing the stock symbol were more accurate than those using just the company name. Factors like the training data, preprocessing techniques, and number of tweets per time period can impact prediction accuracy. While limitations remain, the analysis demonstrates a relationship between social media sentiment and stock market movements.
IRJET- Strength and Workability of High Volume Fly Ash Self-Compacting Concre...IRJET Journal
ย
The document discusses implementing a social customer relationship management (CRM) system for an online grocery shopping platform using customer reviews. It proposes collecting customer reviews from social media and other sources, refining the data, analyzing it using natural language processing and machine learning techniques, and storing the results in a database. This would allow the platform to better understand customer sentiment and needs to improve products, services and the customer experience.
IRJET- Implementing Social CRM System for an Online Grocery Shopping Platform...IRJET Journal
ย
This document presents a proposed system architecture for implementing a social customer relationship management (CRM) system for an online grocery shopping platform using customer reviews and sentiment analysis. The proposed architecture involves collecting customer reviews from social media, preprocessing and analyzing the data using natural language processing techniques like stemming, and storing the results in a database. Sentiment analysis is performed to categorize reviews by aspects and sentiment. The analyzed data is then presented to users through an interface to help the online grocery shopping platform better understand customer needs and improve products/services based on feedback.
IRJET- Determining Document Relevance using Keyword ExtractionIRJET Journal
ย
This document describes a system that aims to search for and retrieve relevant documents from a large collection based on a user's query. It does this through three main components: keyword extraction, document searching, and a question answering bot. Keyword extraction is done using the TF-IDF algorithm to identify important words in documents. These keywords are stored in a database along with their TF-IDF weights. When a user submits a query, the system searches for documents containing keywords from the query and returns relevant results. It also includes a feedback mechanism for users to improve search accuracy over time. The goal is to deliver accurate search results quickly from large document collections.
Data Migration: A White Paper by Bloor ResearchFindWhitePapers
ย
This paper is about using information management software from Business Objects, an SAP company, for SAP data migration projects, either for upgrades from one version of SAP to a newer one, or from other environments to SAP. In practice, many of the considerations that apply to SAP data migrations are no different from those that pertain generally to non-SAP environments.
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Classification of Sentiment Analysis on Tweets Based on Techniques from Machi...IRJET Journal
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This document discusses techniques for sentiment analysis on tweets using machine learning. It examines using a lexicon-based approach with SentiWordNet to identify the sentiment polarity of tweets as positive, negative, or neutral. The document outlines collecting Twitter data using APIs, preprocessing the data by removing hashtags and part-of-speech tagging. It then proposes a model using features extracted from SentiWordNet to classify tweet sentiment and discusses experimenting with unigrams and bigrams as features for the machine learning algorithms.
Similar to Data Flow Diagram (DFD) in Developing Online Product Monitoring System (OPMS) of DTI (20)
The chapter Lifelines of National Economy in Class 10 Geography focuses on the various modes of transportation and communication that play a vital role in the economic development of a country. These lifelines are crucial for the movement of goods, services, and people, thereby connecting different regions and promoting economic activities.
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
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(๐๐๐ ๐๐๐) (๐๐๐ฌ๐ฌ๐จ๐ง ๐)-๐๐ซ๐๐ฅ๐ข๐ฆ๐ฌ
๐๐ข๐ฌ๐๐ฎ๐ฌ๐ฌ ๐ญ๐ก๐ ๐๐๐ ๐๐ฎ๐ซ๐ซ๐ข๐๐ฎ๐ฅ๐ฎ๐ฆ ๐ข๐ง ๐ญ๐ก๐ ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฉ๐ข๐ง๐๐ฌ:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
๐๐ฑ๐ฉ๐ฅ๐๐ข๐ง ๐ญ๐ก๐ ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ง๐ ๐๐๐จ๐ฉ๐ ๐จ๐ ๐๐ง ๐๐ง๐ญ๐ซ๐๐ฉ๐ซ๐๐ง๐๐ฎ๐ซ:
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This Dissertation explores the particular circumstances of Mirzapur, a region located in the
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9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
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Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
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Data Flow Diagram (DFD) in Developing Online Product Monitoring System (OPMS) of DTI
1. International Journal of Trend in
International Open Access Journal
ISSN No: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
Data Flow
Online Product Monitoring System (OPMS) of DTI
Surigao del Sur State University
Brgy. Carromata, 8301 San Miguel, Surigao del Sur, Philippines
ABSTRACT
The paper examined the model of data flow diagram
in developing OPMS of Department of Trade and
Industry. It based from waterfall model in which
descriptive research was applied to the existing
product monitoring of DTI. Data from existing
monitoring of DTI were interpreted and created
system data flow diagram (DFD). The data flow
diagram as applied in the analysis of software
development and examined top-down method that
takes process the input and output of data flows. Thus,
the method of developed based on the data flow
diagram created will enhance the security and order of
the developed online system.
KEYWORD: Data Flow Diagram,
Security, Development, Input and Output data flows
INTRODUCTION
Online development dramatically raises issue
especially in data flow and controlling of data in and
out (Li, H., Sun, X., Shi, P., & Lam, H. K., 2015)
This issue commonly happen in some open source
online template in making your own site (
A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani
A., & Khan, S. U., 2015). In fact, lots of students
were creating their websites in free hosting and ready
International Journal of Trend in Scientific Research and Development (IJTSRD)
International Open Access Journal | www.ijtsrd.com
ISSN No: 2456 - 6470 | Volume - 2 | Issue โ 6 | Sep
www.ijtsrd.com | Volume โ 2 | Issue โ 6 | Sep-Oct
Diagram (DFD) in Developing
Online Product Monitoring System (OPMS) of DTI
Bryan L. Guibijar, MSCS
Surigao del Sur State University โ San Miguel Campus
Carromata, 8301 San Miguel, Surigao del Sur, Philippines
paper examined the model of data flow diagram
in developing OPMS of Department of Trade and
Industry. It based from waterfall model in which
descriptive research was applied to the existing
product monitoring of DTI. Data from existing
ere interpreted and created
system data flow diagram (DFD). The data flow
diagram as applied in the analysis of software
down method that
takes process the input and output of data flows. Thus,
the data flow
diagram created will enhance the security and order of
, Data Aging,
, Input and Output data flows
Online development dramatically raises issue
especially in data flow and controlling of data in and
Li, H., Sun, X., Shi, P., & Lam, H. K., 2015).
This issue commonly happen in some open source
online template in making your own site (Hashem, I.
A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani,
. In fact, lots of students
were creating their websites in free hosting and ready-
made template (Ravichandran, H., Toohil, R., &
Lammi, L., 2014). This leads to catastrophe when
comes to data uploading and data downloading. The
creation of the Data Flow Diagram in developing an
online site will solve the issues. The study aims to
provide standard data flow diagram to enhance Input
and Output Data flow (Abedjan, Z., Schulze, P., &
Naumann, F., 2014, November)
Data Flow Diagrams are categorized by level, stating
with the most basic, level 0 โ
3), DFDs get increasingly complex as the level
increases, as you build your own data flow diagram,
you will need to decide which level your diagram will
be. In theory, DFDs could go beyond level 3, but they
rarely do, level 3 data flow diagrams are detailed
enough that it doesnโt usually make sense to break
them down further (Bangeter, J., 2017)
RESEARCH DESIGN AND METHODS
The Study used descriptive research in which standard
Data Flow Diagram was applied. Three level in Data
flow Diagram was applied in this research.
Research and Development (IJTSRD)
www.ijtsrd.com
| Sep โ Oct 2018
2018 Page: 1
Diagram (DFD) in Developing
Online Product Monitoring System (OPMS) of DTI
Carromata, 8301 San Miguel, Surigao del Sur, Philippines
Ravichandran, H., Toohil, R., &
. This leads to catastrophe when
comes to data uploading and data downloading. The
creation of the Data Flow Diagram in developing an
online site will solve the issues. The study aims to
provide standard data flow diagram to enhance Input
Abedjan, Z., Schulze, P., &
Naumann, F., 2014, November).
are categorized by level, stating
3 (see figure 1 to figure
), DFDs get increasingly complex as the level
increases, as you build your own data flow diagram,
you will need to decide which level your diagram will
ry, DFDs could go beyond level 3, but they
rarely do, level 3 data flow diagrams are detailed
enough that it doesnโt usually make sense to break
Bangeter, J., 2017).
RESEARCH DESIGN AND METHODS
The Study used descriptive research in which standard
Data Flow Diagram was applied. Three level in Data
flow Diagram was applied in this research.
2. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
Figure 1. Context level Diagram
Context level diagram shows the level of access right of different users of the system. Adm
rights like Profile/Complain Information, Product Information, Join Form and View Product Information.
Moderator is a substitute user in case of the absence of the Administrator, the access rights of this user is
minimal and that is intended for the primary need of the client user (Members / Consumers). Members /
Consumers are the users across the country that will access the viewing of the product information if the market
in their place follow the suggested retail price of the commod
according to their actual experiences. Members / Consumers has also the right to access the Forum with
different rights, like if you are already registered to the system you might be able to joined the asynchronou
conversion with the different members across the country and if not yet register the consumers will still view
the minimal conversation of the members.
Figure 2. Logical Data Flow Diagram
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
www.ijtsrd.com | Volume โ 2 | Issue โ 6 | Sep-Oct
Figure 1. Context level Diagram
Context level diagram shows the level of access right of different users of the system. Adm
rights like Profile/Complain Information, Product Information, Join Form and View Product Information.
Moderator is a substitute user in case of the absence of the Administrator, the access rights of this user is
ntended for the primary need of the client user (Members / Consumers). Members /
Consumers are the users across the country that will access the viewing of the product information if the market
in their place follow the suggested retail price of the commodities and if not they will send complaints
according to their actual experiences. Members / Consumers has also the right to access the Forum with
different rights, like if you are already registered to the system you might be able to joined the asynchronou
conversion with the different members across the country and if not yet register the consumers will still view
the minimal conversation of the members.
Figure 2. Logical Data Flow Diagram
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
2018 Page: 2
Context level diagram shows the level of access right of different users of the system. Administrator access all
rights like Profile/Complain Information, Product Information, Join Form and View Product Information.
Moderator is a substitute user in case of the absence of the Administrator, the access rights of this user is
ntended for the primary need of the client user (Members / Consumers). Members /
Consumers are the users across the country that will access the viewing of the product information if the market
ities and if not they will send complaints
according to their actual experiences. Members / Consumers has also the right to access the Forum with
different rights, like if you are already registered to the system you might be able to joined the asynchronous
conversion with the different members across the country and if not yet register the consumers will still view
3. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
Figure 2 shows the more detailed access rights of different users of the system. Logical Data Flow Diagram
discuss the most intensive transaction inside the system developed. It defines specifically the user access right
with the different module of the system. The modules are numbered from 1.0 to 5.0 labelled with users who
have the access right. The figure also labelled if the user is intended for viewing only and if the user is allowed
to alter the information.
Figure 3. Hierarchical Input Process Outpu
The H-I-P-O Hierarchy is being used as an aid during general system design and the output of the general
program design is the input for the detailed module
1974). The considerations and techniques presented here are useful for evaluating alternatives for those portions
of the system that will be programmed on a computer.
Figure 3.1. H
The H-I-P-O Diagram for Register, starting in identifying the user type as shown in Figure 1 there are three
rectangle compose the Administrator, Moderator and Members / Consumers. It is important to give identity to
each users to ensure the accountability of each users. User profile will be provide by the users who register his /
herself, then verification and then grant access.
3.2. H
The H-I-P-O Diagram for Access Control, is a design to verify the user type and passwo
avoid malicious user access. This will also identify the limitation of the user access in every module provide by
the system.
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
www.ijtsrd.com | Volume โ 2 | Issue โ 6 | Sep-Oct
Figure 2 shows the more detailed access rights of different users of the system. Logical Data Flow Diagram
discuss the most intensive transaction inside the system developed. It defines specifically the user access right
stem. The modules are numbered from 1.0 to 5.0 labelled with users who
have the access right. The figure also labelled if the user is intended for viewing only and if the user is allowed
Figure 3. Hierarchical Input Process Output (H-I-P-O)
O Hierarchy is being used as an aid during general system design and the output of the general
program design is the input for the detailed module design (Stevens, W. P., Myers, G. J., & Constantine, L. L.,
and techniques presented here are useful for evaluating alternatives for those portions
of the system that will be programmed on a computer.
Figure 3.1. H-I-P-O Diagram for Register
O Diagram for Register, starting in identifying the user type as shown in Figure 1 there are three
rectangle compose the Administrator, Moderator and Members / Consumers. It is important to give identity to
of each users. User profile will be provide by the users who register his /
herself, then verification and then grant access.
3.2. H-I-P-O Diagram for Access Control
O Diagram for Access Control, is a design to verify the user type and passwo
avoid malicious user access. This will also identify the limitation of the user access in every module provide by
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
2018 Page: 3
Figure 2 shows the more detailed access rights of different users of the system. Logical Data Flow Diagram
discuss the most intensive transaction inside the system developed. It defines specifically the user access right
stem. The modules are numbered from 1.0 to 5.0 labelled with users who
have the access right. The figure also labelled if the user is intended for viewing only and if the user is allowed
O Hierarchy is being used as an aid during general system design and the output of the general
Stevens, W. P., Myers, G. J., & Constantine, L. L.,
and techniques presented here are useful for evaluating alternatives for those portions
O Diagram for Register, starting in identifying the user type as shown in Figure 1 there are three
rectangle compose the Administrator, Moderator and Members / Consumers. It is important to give identity to
of each users. User profile will be provide by the users who register his /
O Diagram for Access Control, is a design to verify the user type and password as the security to
avoid malicious user access. This will also identify the limitation of the user access in every module provide by
4. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
Figure 3.3. H
The H-I-P-O Diagram for Product Monitoring, this is t
user type is also identify to avoid discrepancy of the display product information. This module the same module
as the administrator and moderator change the product information, so that the user type
include.
Figure 3.4. H
The H-I-P-O Diagram for Complaint Information, this module show the data flow of the complaints submitted
by the members and consumers.
RESULTS AND DISCUSSIONS
Table 1. Data Dictionary
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
www.ijtsrd.com | Volume โ 2 | Issue โ 6 | Sep-Oct
Figure 3.3. H-I-P-O Diagram for Product Monitoring
O Diagram for Product Monitoring, this is the main display of the developed system and as observed
user type is also identify to avoid discrepancy of the display product information. This module the same module
as the administrator and moderator change the product information, so that the user type
Figure 3.4. H-I-P-O Diagram for Complaint Information
O Diagram for Complaint Information, this module show the data flow of the complaints submitted
Table 1.1. Answers
Table 1.2. Commodity Type
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
2018 Page: 4
he main display of the developed system and as observed
user type is also identify to avoid discrepancy of the display product information. This module the same module
as the administrator and moderator change the product information, so that the user type is very important to
O Diagram for Complaint Information, this module show the data flow of the complaints submitted
5. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
www.ijtsrd.com | Volume โ 2 | Issue โ 6 | Sep-Oct
Table 1.3. Complaint Response
Table 1.4. Complaints
Table 1.5. Current Prices
Table 1.6. Forum
Table 1.7. Members
Table 1.8. Price Update Logs
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
2018 Page: 5
6. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
Table 1. Data Dictionary is a design tables accordingly to the data flow diagram in the methodology of the
research presented. Hatley, D., & Pirbhai, I. (2013), stated that there has been growing dissatisfaction with conventional
strategies for systems development, and an increasi
approaches.
Figure 4. Entity Relationship Diagram
Figure 4.1. products, currentprice and commodity type Relationship (one
Figure 4.2. products (p) and vw_srplastweek,
vw_srpchangesvsmonthago views Relationship (one
Figure 4. Entity Relationship Diagram, is a data model that represents the logical structure of the
CONCLUSION
This study gets the Data Flow Diagram (DFD) in
Developing Online Product Monitoring System of
DTI. In developing a system it is important that the
programmer should create first the data flow of the
system, before the development or the system creation
will start. As claim in DFDs theory, the level of data
flow diagram could go beyond level 3, but rarely do
this. Bangeter, J. (July 06, 2017) stated this, this
author anticipate already that the data flow diagram
can be push through the most intensive definit
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
www.ijtsrd.com | Volume โ 2 | Issue โ 6 | Sep-Oct
is a design tables accordingly to the data flow diagram in the methodology of the
Hatley, D., & Pirbhai, I. (2013), stated that there has been growing dissatisfaction with conventional
strategies for systems development, and an increasing number of proposals for replacing them with new, more formal
Figure 4.1. products, currentprice and commodity type Relationship (one
Figure 4.2. products (p) and vw_srplastweek, vw_srplastmonth, vw_srpLast3months, vw_srplastyear and
vw_srpchangesvsmonthago views Relationship (one-to-many)
Relationship Diagram, is a data model that represents the logical structure of the
database (Rossi, B., 2014).
This study gets the Data Flow Diagram (DFD) in
Developing Online Product Monitoring System of
DTI. In developing a system it is important that the
programmer should create first the data flow of the
system, before the development or the system creation
l start. As claim in DFDs theory, the level of data
flow diagram could go beyond level 3, but rarely do
Bangeter, J. (July 06, 2017) stated this, this
author anticipate already that the data flow diagram
can be push through the most intensive definition of
the system development and in more specified
accordingly and necessarily.
RECOMMENDATION
It is strongly recommended by the author of this
research to use the same method in developing a
system. After reading this research you will have
some background knowledge on data flow diagrams
and how they are categorized, youโre ready to build
your own DFD. Data flow diagram as applied in
International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456-6470
2018 Page: 6
is a design tables accordingly to the data flow diagram in the methodology of the
Hatley, D., & Pirbhai, I. (2013), stated that there has been growing dissatisfaction with conventional
ng number of proposals for replacing them with new, more formal
Figure 4.1. products, currentprice and commodity type Relationship (one-to-one)
vw_srplastmonth, vw_srpLast3months, vw_srplastyear and
Relationship Diagram, is a data model that represents the logical structure of the
the system development and in more specified
It is strongly recommended by the author of this
research to use the same method in developing a
system. After reading this research you will have
round knowledge on data flow diagrams
and how they are categorized, youโre ready to build
your own DFD. Data flow diagram as applied in
7. International Journal of Trend in Scientific Research and Development (IJTSRD) ISSN: 2456
@ IJTSRD | Available Online @ www.ijtsrd.com
analysis of software development enhanced the
security and order of the developed online system.
REFERENCES
1) Li, H., Sun, X., Shi, P., & Lam, H. K. (2015).
Control design of interval type-2 fuzzy systems
with actuator fault: Sampled-
approach. Information Sciences,
Retrieve August 11, 2018 from
https://goo.gl/CsHUQq
2) Hashem, I. A. T., Yaqoob, I., Anuar
Mokhtar, S., Gani, A., & Khan, S. U. (2015). The
rise of โbig dataโ on cloud computing: Review
and open research issues. Information Systems
98-115. Retrieve August 11, 2018 from
https://goo.gl/P2Kpei
3) Ravichandran, H., Toohil, R., & Lammi, L.
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