Web Application Development Research Articles

Development of the Web Application to Support the Process of Conducting Intellectual Games

The article discusses technologies for developing the web application designed to accompany the process of conducting an intellectual game in the format of an interactive quiz. An analysis of similar applications was carried out, which showed that none of them satisfies all the criteria essential in this situation. Requirements for the web application have been determined: the ability to create a library of quizzes, various types of questions, edit ready-made quizzes, participants enter answers through their devices online, award points for the correctness and speed of answers, display questions on the presenter's screen and on team devices, view intermediate and final results in the form of a list, returning participants to the game if necessary, saving the points received. The process of developing an optimized user interface using HTML, CSS, JavaScript, which allows users to interact with the web application, is described, the structure of the web application, the main forms of the administrator and game participants are presented. The server side of the application was developed using Node.JS technologies, including the Socket.io library, and the MongoDB database, the resulting collection of non-relational database is shown. To implement the functionality of the application pages, JavaScript was used; examples of codes are presented that implement the mechanism for connecting the presenter to the game, retrieving information from the database, recording the team's response, and awarding points for the correctness and speed of the response. The web application allows you to reduce the time spent by event organizers and participants and makes it possible to improve the organization of work in general. The presented web application for accompanying intellectual games was successfully approbated during events at the Nizhny Tagil State Social-Pedagogical Institute (branch) of the Russian State Vocational Pedagogical University. The materials of the article can serve as practical recommendations for the development of such web applications to accompany intellectual games held in the format of interactive quizzes.

The Effects of a Web Application for Reducing the Risk of Breast Cancer-Related Lymphedema on Health Literacy and Self-Efficacy in Managing Symptoms Among Patients With Breast Cancer.

This study aimed to examine the effectiveness of a web application on health literacy and self-efficacy in managing arm oedema symptoms among patients with breast cancer. The research was carried out in four phases as follows: Phase 1, using a qualitative approach to explore problems and information needs in educating breast cancer patients through in-depth interviews with 10 professional nurses who had experiences in caring for breast cancer patients and 20 breast cancer patients. Data were analysed by content analysis; Phase 2, designing and developing a web application and confirming its quality by five experts with experience caring for breast cancer patients; Phase 3, testing the web application with five breast cancer patients; and Phase 4, examining the effectiveness of a web application in breast cancer patients using a quasiexperimental research method. Patients were divided into 15 persons in control and 15 in intervention groups, a total of 30 persons. The tools used in the study consisted of (1) a web application on practices for reducing risk for arm oedema after breast cancer treatment, (2) a health literacy assessment tool, (3) a self-efficacy for managing symptoms questionnaire and (4) a web application satisfaction questionnaire. Data were analysed using descriptive statistics, chi-square and t test. Qualitative findings: The web application should cover patients' and nurses' views on arm oedema causes, assessment, prevention and self-care for managing swelling after breast cancer treatment. Characteristics of a web application required: large text, bright colours, clear visibility, accompanying pictures or videos, using simple language without official terminology, easy to access, convenient to use, concise, interesting content and shareable to others. Quantitative findings: The intervention group had significantly higher health literacy and self-efficacy in managing symptom scores than before the trial (p < 0.001). Sample groups were satisfied with the developed web application at a high level. When considering each item, it was found that all items were rated at high levels. Two items with the same highest score were ease of use and the attractiveness of the presentation style. This web application, aimed at reducing the risk of arm oedema after breast cancer treatment, is an effective tool for educating all hospitalized patients. In addition, further research should be conducted to monitor the sustainability of long-term and clinical outcomes.

Web log mining techniques to optimize Apriori association rule algorithm in sports data information management

To optimize the current college sports data information management system, this study combines the Apriori association rule algorithm with web application development technology to upgrade the management system. Firstly, this study explores novel log mining techniques in genetic algorithms and web application development technology. Secondly, by integrating log mining techniques to optimize the Apriori algorithm, associations between sports data and information are discovered. Through the optimized algorithm, this study identifies key association rules of sports data information and validates the optimized system’s reliability and effectiveness through experiments. The experimental results show that the running time of the traditional Apriori algorithm exponentially grows with the increase in information volume, while the optimized execution efficiency is improved by approximately 10–15%. Additionally, the average retrieval accuracy of this optimized system can reach 98.3%, although the retrieval time also increased by 23%. Therefore, the technology and algorithms proposed in this study have certain application value in the sports information management system and contribute to the optimization of data information management in this field.

A COMPREHENSIVE ANALYSIS OF ARCHITECTURAL PATTERNS IN ASP.NET CORE WEB APPLICATION DEVELOPMENT

The landscape of web application development has undergone significant transformations since the inception of the World Wide Web. In the contemporary landscape of web development, a multitude of design patterns, frameworks, and programming languages are employed to construct web applications, adapting to their diverse levels of complexity. Model-View-Controller (MVC) stands out as a widely embraced design pattern in the construction of web applications. This paper's primary goal is to provide a comprehensive elucidation of the features and fundamental components intrinsic to the MVC architectural pattern. Through practical examples and in-depth analysis, readers will gain valuable insights into the nuances of MVC, empowering them to harness its capabilities for robust and effective web application development.

PCOS and Gyno Help: AI Based App and Web Application Development

PCOS and Gyno Help: AI Based App and Web Application Development

Information needs in bug reports for web applications

Given the widespread popularity and increasing reliance on long-lived web applications (such as Netflix and Facebook), effective and efficient bug reproduction is essential to maintain functionality and user satisfaction throughout the application’s lifetime. Developers use bug reports to localize, reproduce, and eventually fix software bugs. However, the content of bug reports is not always helpful (e.g., due to incomplete or missing information). In this study, we explore what type of information is often missing in bug reports and how that information is presented in them. We manually analyzed the initial and final versions of 1000 bug reports from 10 popular open-source web-based applications. The analysis revealed that, regardless of the type of software (e.g., e-commerce software or personal tools), diagnostic suggestions from developers and end-user usage information are often missing in initial bug reports but only added later throughout the lifetime of a bug report. Also, textual descriptions and screenshots are used most to describe bugs, regardless of the type of bug (e.g., a functional or performance error). The study highlighted the need for improved bug reporting templates and tools to improve bug report quality and efficiency in web application development and maintenance.

Web-Based Maintenance Prediction of Machine Conditions and Failure Modes Using Machine Learning

Machine failure may result in unplanned downtime, production losses, safety risks, and increased costs. Hence, predicting machine failures is a significant challenge faced by many industries. Predictive Maintenance (PdM) techniques can help mitigate these risks by predicting machine failures before they occur. This research, therefore, develops two supervised Machine Learning (ML) algorithms to predict failure conditions and the associated failure modes for a milling machine. Six machine features were investigated. The ML models were then developed using a four-stage process including data pre-processing, training, evaluation, and deployment. Several ML algorithms were applied then the results were evaluated using accuracy, recall, precision, and [Formula: see text]1-score. The results showed that the Random Forest algorithm was the most effective in predicting machine conditions and failure modes of the milling machine. A web application for PdM was finally developed and tested for the PdM of the milling machine. In conclusion, the developed web application including ML algorithms can support the effective PdM for the machine, which leads to enhancing its availability and improving productivity. Future research considers adopting ML algorithms for predicting machine conditions and failure types of other machines.

Developing A Tourism Information Portal Using Web Technologies and Database Management

The quality and variety of the infrastructure at a place has a big impact on tourism. An essential component of the tourism sector, infrastructure has a unique influence on the growth of this rapidly developing sector. Many nations have realised how important infrastructure is to the travel and tourist sector, and as a result, their governments have partnered with the sector to provide infrastructure that is specifically needed for travel. The sites that draw tourists in the first place, where tourism is delivered, where businesses are located, and where tourists consume the product are all considered destinations. The design and implementation of a tourism information portal using web technologies and database administration is presented in this study. The portal's goal is to give travellers a thorough and intuitive way to get information about travel destinations, lodging options, and activities. Database design, web application development, and the integration of pertinent technologies like HTML, CSS, JavaScript, and PHP are all part of the development process. User testing and feedback are used to assess the portal's usability and functionality. The outcomes show how successful the portal is at delivering precise and current information, improving the traveler experience, and encouraging destination management. The study emphasises the use of web technologies and database management in tourism marketing and management, and it advances the development of tourism information systems.

Penerapan Web Service dalam Mengintegrasikan IoT dengan Platform Investasi Berbasis Website dan Mobile Android

The industrial revolution 4.0 which is occurring rapidly has resulted in changes in various fields, IoT is a technology that is currently widely used to automate processes in everyday life. In this research, IoT was used to monitor the development of goat livestock in Dermaji village. The problem with IoT development is that when you want to display data or results obtained, IoT does not work well if the information displayed is less interactive and difficult for end users to understand, so a solution needs to be created to display the results obtained by developing website and mobile-based applications. The aim of this research is to integrate an IoT platform with Android mobile-based websites and applications by implementing a RESTful web service API. Web and mobile application development uses the RAD method which consists of several stages, namely the design stage of system requirements, system design and implementation into a programming language. In integrating IoT with websites and mobile, RESTful web service technology is applied. The result of this research is an IoT platform that is integrated with website and Android mobile based applications.

Comparative analysis of the Express.js and ElysiaJS frameworks in the context of web application development

JavaScript-based programming frameworks allow more and more web applications to be built, aiming to become the fastest platform for a particular application. The aim of this paper is, among other things, to conduct study to obtain performance results of two server-based programming libraries in the application of an online transaction database structure. The database structure, the TPC-C benchmark queries and the Bombardier HTTP(S) query measurement tool were used to perform the tests. The research thesis "The Express.js framework has better performance than ElysiaJS in terms of TPS measurement tests in TCP-C structure" was set. The results obtained did confirm the thesis.

Comparative analysis of tools for managing web application development

This article presents a comparative analysis of three bundlers: tools for managing web application development. The basic capabilities of the Webpack, Parcel and Vite tools were reviewed. Bundlers were examined in terms of performance, as well as ease of configuration. The article describes the configuration of each of the tools studied. Research scenarios were formulated, on the basis of which a series of tests were carried out consisting in building applications by each tool and measuring the parameters of this process. The obtained results of the research and the author's personal experience made it possible to choose the best tool for managing web application development.

A study on the effectiveness of web applications for publishing translations of oriental literature

The article analyzes existing websites for publishing and reading translations of literary works, with an emphasis on identifying their main problems and shortcomings. Three types of such sites are described: universal, specialized, and oriental literature-oriented. Each type has its own peculiarities, but they all face similar problems, including a limited choice of content, difficulties in finding materials, and inconvenient user interface. The main problem with specialized websites created by a single team of translators (e.g., Silver Raven) is the limited number of available works, as well as the inconvenience and time-consuming search for the right job due to the need to visit the website of a new team of translators every time. The design is often mediocre and inconvenient for users due to a lack of experience in website development and limited resources. Some teams do not even have their own websites and work on third-party platforms, such as Telegram. As for universal sites such as Wattpad, the main problem is the lack of a specialized filter for translated works, which makes it difficult to find them. In addition, there are shortcomings in the design of the reading pages, where a lot of free space is not used and the text is difficult to read due to inappropriate size and formatting. Specialized sites for oriental literature, such as uAuthor and Baka, also have their problems. For example, uAuthor does not allow reading works directly on the site, which creates additional inconvenience for users. Baka, while providing such a possibility, has a complex filtering system and limited tools for adding and editing text. The article concludes that the existing platforms do not fully meet the needs of translators and readers of such a type of oriental literature as ranobe, which prompts the development of a new web application. The proposed solution is to develop our own web application specifically aimed at publishing and reading works. The main attention will be paid to the design of both the website and the text editor to ensure ease of use for translators and readers. Another solution is to create a web platform of several web services that are interconnected using the composite web service design and modeling method.

Optimisasi Web Service REST API Menggunakan Load Balancer dan Cache dengan Algoritma Round Robin (Studi Kasus: Madani Infosphere)

In today's digital era, the use of REST API Web Services is increasing, becoming a major foundation in web application development due to its simplicity and scalability. However, increased demand and data complexity often lead to a decrease in Web Service performance, especially in terms of response time and service availability. This research focuses on the performance optimisation of Madani Infosphere Web Service, an information platform developed by the non-profit organisation MADANI Berkelanjutan. This platform previously used a single server architecture that was prone to performance issues. To overcome this, this research applies load balancer technology with a round robin algorithm to distribute the workload evenly across multiple servers and uses a cache to store frequently accessed data. The results show that the use of load balancer with round robin algorithm is effective in overcoming potential server overload, making Web Service performance more stable and responsive. In addition, the cache implementation successfully reduces server workload and speeds up response time. Thus, this optimisation can improve the efficiency and availability of Madani Infosphere Web Services.

Development of a Progressive Web Application for Optimizing Solid Waste Management in Urban Contexts: a Case Study in the Coelhos Neighborhood, Recife

Objective: Develop a Progressive Web Application (PWA) to optimize solid waste management in the Coelhos neighborhood in Recife, promoting sustainable practices. Literature Review: The study is based on emerging technologies for waste management, such as IoT and optimization algorithms, addressing challenges and benefits. Method: It includes participatory diagnosis, data collection, and development of the "Limpa+Coelhos" application, integrating technologies like Angular and Google Maps to facilitate waste collection. Results and Discussion: The application significantly increased collection efficiency and community awareness, improving interaction between users and waste management services. Research Implications: The study highlights the potential of PWAs to promote more sustainable and interactive waste management practices in urban contexts. Originality/Value: The research demonstrates the effectiveness of PWAs in improving solid waste management, contributing to the development of innovative technological solutions in urban areas.

Survey On Secure E-Voting Platform

E-voting systems are increasingly being explored with the aim of taking over from traditional paper-based voting and may offer several advantages, including efficiency, accessibility, and cost-cutting. These systems include DRE machines, internet-based voting, to even blockchain-enabled voting solutions. However, this shift toward e-voting is attended by a raft of significant hurdles on security, secrecy in voting, dependability of the systems, and scalability. This survey paper covers the current status of e-voting systems and related work and literature regarding the design, implementation, and evaluation. These topics will range from security vulnerabilities regarding DRE and Internet voting to privacy and anonymity concerns with respect to maintaining confidentiality of voters, accessibility and usability of e-voting platforms for the diverse voter population, and the increasingly emerging blockchain technology that provides secure and transparent processes toward voting. The survey underlines important gaps in present research and points to a number of future directions that might help in building up integrity, transparency, and trustworthiness in e-voting systems. In overcoming the challenges lying ahead, e-voting has the potential to significantly improve democratic processes and enhance voter participation. INDEX TERMS : Online Voting , Secure Voting Platform, Voter Authentication, OTP Verification, SMS Gateway, Encryption, Web Application Development, Voting Results , Election Management System

Introducing rapid web application development with Oracle APEX to students of higher education

The rapid development of information and communication technologies (ICT), and enforcement of digital transformation have caused the need to develop and deliver software in even shorter time than previously, and has become crucial to businesses. Yet, this new need has caused a challenge of finding expert IT workforce able to deliver software applications due expected time. Moreover, in a rapidly changing business world, the traditional software development can no longer keep pace and provide solutions to businesses fast enough. Low-code development and inclusion of so-called citizen developers are seen as a solution for the problem. This paper explores the introduction of rapid application development courses on Oracle APEX technology to students of a European technological university. The paper discusses the implementation of the course and its design, and looks how the developed basic-level course was received by students. It is shown that the courses have been well-received by students, who based on provided feedback are satisfied with the online set up for self-regulated learning of rapid application development skills.

Development of a Web-based Tomato Plant Disease Detection and Diagnosis System using Transfer Learning Techniques

A significant obstacle to agricultural productivity that jeopardizes the availability of food is crop diseases and farmer livelihoods by reducing crop yields. Traditional visual assessment methods for disease diagnosis are effective but complex, often requiring expert observers. Recent advancements in deep learning indicate the potential for increasing accuracy and automating disease identification. Developing accessible diagnostic tools, such as web applications leveraging CNNs, can provide farmers with efficient and accurate disease identification, especially in regions with limited access to advanced diagnostic technologies. The main goal is to develop a productive system that can recognize tomato plant diseases. The model was trained on a collection of images of healthy and damaged tomato leaves from PlantVillage using transfer learning techniques. The images from the dataset were cleansed by resizing them from 256 × 256 to 224 × 224 to match the dimensions used in pre-trained models using min-max normalization. An evaluation of VGG16, VGG19, and DenseNet121 models based on performance accuracy and loss value for 7 categories of tomatoes guided the selection of the most effective model for practical application. VGG16 achieved 84.54% accuracy, VGG19 achieved 84.62%, and DenseNet121 achieved 98.28%, making DenseNet121 the chosen model due to its highest performance accuracy. The web application development based on the DenseNet121 architecture was integrated using the Django web framework, which is built on Python. This enables real-time disease diagnosis for uploaded images of tomato leaves. The proposed system allows early detection and diagnosis of tomato plant diseases, helping to mitigate crop losses. This supports sustainable farming practices and increases agricultural productivity.

Enhancing Electoral Integrity: Implementation of a Secure E-Voting Platform

This paper proposes the design and implementation of a secured e-voting system intended to innovate the electoral process, thereby improving voters' Technologies: I.INTRODUCTION participation in elections. Traditional methods of voting have a number of drawbacks regarding logistics inefficiency, accessibility to voters, and security issues. The proposed e-voting system will help solve these problems by offering a digital platform that will ensure secured, efficient, and accessible voting. The system has been developed in Java, JSP, and MySQL; it has a highly user- friendly interface, a robust backend processing system, and data managed safely. The system is secured to allow access only to the authorized voter by its OTP-based authentication mechanism via SMS gateway. In fact, such a model of two- factor authentication considerably reduces unauthorized access and hence enhances the security for the voting process. All votes are encrypted before storage to maintain confidentiality and integrity of data for the voters using the system. The architecture of the system is such that it is scalable, hence, capable of responding to simultaneous requests from a high volume of users with no degradation of performance. Extensive testing gives evidence of the system's reliability and efficiency in different scenarios, hence allowing it to suit all parameters that ensure a secure, as well as transparent, electoral process. Introducing contemporary technology into the context of voting, this e-voting system has great potential to revolutionize how elections are conducted and guarantee more participation while securing the integrity of the election outcome in the digital era. INDEX TERMS : Online Voting , Secure Voting Platform, Voter Authentication, OTP Verification, SMS Gateway, Encryption, Web Application Development, Voting Results , Election Management System

WEB-BASED BPS PARTNER MONITORING INFORMATION SYSTEM FOR SOUTH COAST BASED

In the digital era, effective and efficient data management is very important, especially in government organizations such as the Central Statistics Agency (BPS). This project aims to design and implement a web-based BPS Pesisir Selatan Partner Monitoring Information System, which aims to facilitate monitoring and management of BPS partner data in Pesisir Selatan Regency. This system is built using the Waterfall method, which allows gradual software development starting from the analysis, design, implementation, to testing stages. For system design, the Unified Modeling Language (UML) is used to visually model system requirements and workflows. The PHP programming language was chosen for the development of this system because of its flexibility in developing web applications and its support for various databases. The result of this system development is a web application that can be used by BPS to monitor partner performance and activities in real-time, accelerate the decision-making process, and improve work efficiency. With this system, it is hoped that the management of BPS Pesisir Selatan partners can be carried out in a more structured and accurate manner.

Mobile Web Application for Durian Orchard Management and Geospatial Data Visualization Using Deep Learning

Durian, a globally popular fruit, is primarily exported by Thailand, making it the foremost contributor to the world market. Nevertheless, there remains a notable absence of a comprehensive platform or application catering to both consumer tourists and businesses seeking domestic purchases. Prior research has highlighted several shortcomings, notably the inability of existing applications to provide location-based search functionality or automatically identify durian plantation plots from digital photographs. Consequently, this study proposes the development of a mobile web application aimed at managing, processing, and visualizing geospatial data pertaining to orchards and durian plantations. Through the integration of mobile technology, geospatial technology, and machine learning, the research endeavours to address these deficiencies. The findings indicate promising results, particularly in the accurate classification of durian plantations using four machine learning algorithms: convolutional neural network (CNN), support vector machine (SVM), random forest, and k-nearest neighbor (KNN). Among these algorithms, CNN exhibited the highest accuracy, achieving a value of 95%, with precision, recall, and f-measure values of 95.55%, 94.44%, and 94.97%, respectively.