Java-based Application Research Articles

Implementation and Optimization of Digital Ticket Applications Using Java in Online Sales Systems

Online digital ticket sales have become one of the main methods of distributing tickets for various events, from concerts to transportation. Although many digital ticketing applications are available, there are significant challenges regarding performance, security, and integration with payment systems. This research aims to implement and optimize a digital ticket application using Java in an online sales system to increase efficiency and security. This research methodology includes the development of Java-based applications with a microservices architecture approach, which allows separation of functionality and increases scalability. This application is designed to manage the ticket purchasing process, including event selection, payment, and electronic ticket delivery using QR Code technology for verification. In the implementation process, Spring Boot technology was used for server-side development and JavaFX for the user interface. The results of this research show that the Java-based digital ticket application developed can manage transactions efficiently and safely, and can handle high user volumes without significant performance degradation. These findings provide an important contribution in the field of digital ticket application development and can be used as a reference for implementing similar systems in various sectors.

Test case prioritization based on fault sensitivity analysis using ranked NSGA-2

This paper discusses regression testing in software maintenance, focusing on test case prioritization to verify modifications to software functionality efficiently. The primary goal is to rank test cases, prioritizing those covering more code or faults with minimal execution time. The challenge lies in prioritizing numerous test cases generated during development and maintenance. Various algorithms, including greedy approaches and meta-heuristic techniques, address this challenge. The paper introduces a ranking-based non-dominated sorting genetic algorithm (NSGA-2) for test case prioritization, emphasizing cases sensitive to faults caused by modifications or new functionality. Historical data is prioritized, with key objectives including the sensitive index, execution cost, and average percentage of fault detection (APFD). The proposed model is tested on handcrafted and benchmark Java-based applications, comparing its performance to state-of-the-art algorithms in test case prioritization.

Smart Health Care System

System is a Java-based web application designed to streamline hospital operations. Its user- friendly interface simplifies administrative complexities, focusing on optimizing patient management, appointment scheduling, and record-keeping. This system enhances coordination among medical staff, ensuring smooth patient care and better outcomes. By automating tasks and organizing crucial information, hospitals can operate more efficiently, delivering faster and more accurate care. This paper introduces a web-based platform facilitating the transition from paper to electronic records, particularly emphasizing the elimination of paper prescriptions through E-Medical Management. This approach enhances patient management efficiency, doctor scheduling, and provides universal access to patient data within the hospital premises.

Application of the Waterfall Method in Creating Payroll Applications Based on Java Netbeans

This study explores the application of the Waterfall methodology in developing a payroll application based on Java Netbeans. The Waterfall methodology, known for its sequential and linear approach to software development, is implemented to guide the development process of the payroll application. Java Netbeans serves as the development environment for building the application, leveraging its comprehensive features and compatibility with the Java programming language. The study aims to analyze the effectiveness and challenges encountered in employing the Waterfall methodology specifically in the context of developing a payroll application. Through a systematic examination of the development process, this research provides insights into how the Waterfall methodology can be adapted and utilized effectively in the creation of software applications, particularly in the realm of payroll management. The use of Java Netbeans as the development environment provided advantages in using its extensive features and good compatibility with the Java programming language. The findings also highlighted some of the challenges encountered, including possible difficulties in adjusting to changes in application needs or requirements during the linear development process. Overall, however, the application of the Waterfall method in the creation of the Netbeans Java-based payroll application provided a solid foundation for effectively managing the project and producing an application that met user needs.

APLIKASI PENCATATAN PENJUALAN PENGDINGIN RUANGAN BERBASIS JAVA PADA PT. UNIE SARANA MANDIRI


 Unie Sarana Mandiri is a company engaged in the sale, installation and routine maintenance of air conditioners, therefore, sales and data collection units for air conditioners still use the manual method, so there are often difficulties in finding data, collecting data on goods, transactions and making reports, all of which are still recorded. in Ms. Excel and Ms. Offices. The method used in this research is the Waterfall method. For this reason, the researcher designed an application using NeatBeans. The design of this sales application is in the form of a desktop by presenting data collection of goods and sales reports. This application is designed using Neatbeans which is a support program for creating Java-based applications using Black Box in testing. Java-based air conditioner sales applications have had good performance, efficiency, application suitability with testing. This application can help employee performance in sales report item data by utilizing information technology to complement existing deficiencies in air conditioning sales, as media and information at PT. Unie Sarana Mandiri.

Automating SQL Injection and Cross-Site Scripting Vulnerability Remediation in Code

Internet-based distributed systems dominate contemporary software applications. To enable these applications to operate securely, software developers must mitigate the threats posed by malicious actors. For instance, the developers must identify vulnerabilities in the software and eliminate them. However, to do so manually is a costly and time-consuming process. To reduce these costs, we designed and implemented Code Auto-Remediation for Enhanced Security (CARES), a web application that automatically identifies and remediates the two most common types of vulnerabilities in Java-based web applications: SQL injection (SQLi) and Cross-Site Scripting (XSS). As is shown by a case study presented in this paper, CARES mitigates these vulnerabilities by refactoring the Java code using the Intercepting Filter design pattern. The flexible, microservice-based CARES design can be readily extended to support other injection vulnerabilities, remediation design patterns, and programming languages.

MicroProf : Code-level Attribution of Unnecessary Data Transfer in Microservice Applications

The microservice architecture style has gained popularity due to its ability to fault isolation, ease of scaling applications, and developer’s agility. However, writing applications in the microservice design style has its challenges. Due to the loosely coupled nature, services communicate with others through standard communication APIs. This incurs significant overhead in the application due to communication protocol and data transformation. An inefficient service communication at the microservice application logic can further overwhelm the application. We perform a grey literature review showing that unnecessary data transfer is a real challenge in the industry. To the best of our knowledge, no effective tool is currently available to accurately identify the origins of unnecessary microservice communications that lead to significant performance overhead and provide guidance for optimization. To bridge the knowledge gap, we propose MicroProf , a dynamic program analysis tool to detect unnecessary data transfer in Java-based microservice applications. At the implementation level, MicroProf proposes novel techniques such as remote object sampling and hardware debug registers to monitor remote object usage. MicroProf reports the unnecessary data transfer at the application source code level. Furthermore, MicroProf pinpoints the opportunities for communication API optimization. MicroProf is evaluated on four well-known applications involving two real-world applications and two benchmarks, identifying five inefficient remote invocations. Guided by MicroProf , API optimization achieves an 87.5% reduction in the number of fields within REST API responses. The empirical evaluation further reveals that the optimized services experience a speedup of up to 4.59×.

Bibliometric Analysis of Integrated Pest Management Practices

Integrated pest management (IPM) is a wide-ranging strategy that involves tactics for the structural control of pests and diseases, also known as integrated pest control (IPC). The prime aim of this study is to explore global scientific publications regarding integrated pest management and map the recent global trends in this innovative research domain, thereby providing future research directions based on dynamic observations. Bibliometric assessment is used in the research to provide a more detailed evaluation of the existing state of IPM, which will ultimately lead policymakers to develop novel measures to promote the efficient utilisation of the IPM measure. The study explores the Web of Science (WoS) core collection database covering published articles from 1993 to 2022, and we evaluated 1217 articles. The study employed the Biblioshiny app (V4.1, K-Synth, Naples, Italy), specially designed for the Bibliometrix R package, and a robust Java-based application, namely CiteSpace (V6.2.R3, Chaomei Chen, Philadelphia, PA, USA), to convert, process, visualise and evaluate the selected dataset. Moreover, we utilised another Java-based app VOSViewer (Leiden University, Leiden, The Netherlands), to provide a comprehensive visualisation. Based on citation analysis, we presented a list of the top 10 articles based on global citation count, the top 10 institutes, the top 10 journals, and the top 10 countries. By carefully evaluating the co-occurrence network, this study structurally represents the 9 clusters and the 20 prime keywords, which will be assisted the future researcher in understanding the key terms used by the prior research and the density criteria. The strategic coordinate mapping is utilised to evaluate the keywords’ inner relationship and provide strong themes of recent research progression of IPM by evaluating the centrality and density quadrant tactics. This technique has not been rehashed previously within the IPM domain. We identify gaps related to the formulation, implementation, and assessment of the IPM mechanisms and propose avenues for future studies to fill those gaps.

Context-Based Adaptive Fog Computing Trust Solution for Time-Critical Smart Healthcare Systems

Fog’s inherent decentralized nature and ability to process data in transit, i.e., the ability to draw conclusions in real-time, are quite suitable for scenarios where an enormous number of decentralized devices need to communicate and provide live analysis of data and storage tasks. Fog computing’s ability to work close to the end user and non-reliance on centralized architecture provide the dependability that time-critical smart healthcare systems need. Because of the critical nature of healthcare data, better security and privacy solutions for fog computing are required, with trust being of the utmost importance. Context-dependent trust solution for fogs is still an open research area, so the aim of this research is to propose a context-based adaptive trust solution for smart healthcare environments using a Bayesian approach and similarity measures. The proposed trust model has been simulated in Contiki, Cooja, and a Java-based application has been developed to analyze our results. Adaptive weights assigned to direct and indirect trust using entropy values ensure minimization of trust bias as opposed to static weighting. Context-based similarity calculations filter out recommender nodes with malicious intent using server, social contact, and service similarity. This model is efficient and has a low trust computation overhead because it has a liner complexity of O(n).

Automated Detection of Software Performance Antipatterns in Java-Based Applications

The detection of performance issues in Java-based applications is not trivial since many factors concur to poor performance, and software engineers are not sufficiently supported for this task. The goal of this manuscript is the automated detection of performance problems in running systems to guarantee that no quality-based hinders prevent their successful usage. Starting from software performance antipatterns, i.e., bad practices (e.g., extensive interaction between software methods) expressing both the problem and the solution with the purpose of identifying shortcomings and promptly fixing them, we develop a framework that automatically detects seven software antipatterns capturing a variety of performance issues in Java-based applications. Our approach is applied to real-world case studies from different domains, and it captures four real-life performance issues of Hadoop and Cassandra that were not predicted by state-of-the-art approaches. As empirical evidence, we calculate the accuracy of the proposed detection rules, we show that code commits inducing and fixing real-life performance issues present interesting variations in the number of detected antipattern instances, and solving one of the detected antipatterns improves the system performance up to 50%.

Why MERN Stack?

Abstract: In the past, web development was primarily based on the LAMP stack (Linux, Apache, MySQL, PHP, or Perl) and Java-based applications (Java EE, Spring). However, these stacks are made up of different programming languages and can be difficult for a single developer to understand. Advances in web technology over the last few years have allowed developers to participate in both the front-end and back-end processes of web applications. The main goal of this thesis was to explore the basic components of the very popular MREN stack. The MERN stack, which stands for MongoDB, Express.js, React.js, and Node.js, allows developers to easily integrate web development in a single programming language called JavaScript.

P416 Efficient and accurate diagnosis of otomycosis using an ensemble deep learning model

Poster session 3, September 23, 2022, 12:30 PM - 1:30 PMObjectivesOtomycosis accounts for ˃15% of the cases with external otitis worldwide. And otomycosis is more frequently observed in humid regions and people enjoying the culture of ear cleaning in China. Aspergillus and Candida are the major pathogens that could cause long-term infection. Early endoscopic and microbiological examinations are important for appropriate medical treatment to otomycosis. However, accurate diagnosis always needs experts such as otologist and microbiologist. Deep learning model is a novel efficient method to provide quick diagnosis which is an automatically diagnostic program using a large database of images acquired in the cliniC. This paper puts forward a mechanic learning model to address the diagnosis of otomycosis caused by Aspergillus and Candida accurately and quickly.MethodsWe proposed a computer-aided decision system that is based on a deep learning model consisting of two subsystems, a java-based web application, and picture classification. The web application subsystem mainly provides a user-friendly page for collecting consulted pictures as well as displaying the calculation results. The picture classification subsystem mainly uses trained neural network models for end-to-end data inference. The end user only needs to upload a few pictures of the ear endoscope, and the system will return the classification results to the user in the form of category probability value.In order to accurately diagnose otomycosis, we generally kept endoscopic images and took the secretion for fungal culture for further identification. Positive fluorescence fungal staining, culture, and further DNA sequencing were taken to confirm the pathogens, Aspergillus or Candida sp. In addition, impacted cerumen, external otitis, and normal external auditory canal endoscopic images are retained for reference. We merged these four types of images into an endoscopic images gallery.ResultsIn order to achieve better accuracy and generalization ability after model training, we selected 2750 samples from nearly 4000 ear endoscopic images as training samples and 454 as validation samples. On the selection of deep neural network models, we tested the resnet, senet, and efficientnet neural network models with different numbers of layers. Considering the accuracy and operation speed, we finally chose the efficientnet-b6 model and output the probability values of the four categories of otomycosis, external otitis, impacted cerumen, and normal cases. After multiple iterative sample training, the overall validation sample accuracy reached 94.71%, and the average cross-validation accuracy of the 4 classifications reached 94.3%.ConclusionThe results suggest that the system can be used as a reference for general practitioners to make better decisions in the diagnosis of otomycosis.

A Pre-ingestion Framework for Darwin Core Archives

The Atlas of Living Australia’s (ALA) Pre-ingestion Framework is our alternative to managing datasets via the Global Biodiversity Information Facility's (GBIF) Integrated Publishing Toolkit (IPT). The framework uses a system-agnostic Python codebase to create and update Darwin Core archives: building an archive from a core and extension csv files, merging two archives together, deleting records and identifying duplicates based on the identifiers. The framework dynamicly supports current Darwin Core and GBIF namespace terms. Previously, this functionality was handled internally by a Java-based biocache-store ingestion application. While flexible and easy to call, this black box approach to data management created challenges like removing problem records and tracking and verifying data sources. Last year, as the ALA merged our ingestion codebase with GBIF's pipelines and upgraded our data store infrastructure, we took the opportunity to manage our source data exclusively as full Darwin Core archives, rather than partial text files or spreadsheets. Consequently, the Python-based framework consolidates a lot of work previously managed using a range of methodologies and technologies including Talend, Java and unix based scripting. Alongside the Darwin Core archive manipulation tools, it has handlers for harvesting data from secure external web services, web hosts or file servers. The standardised approach to data loading paves the way for improved automation and workflow. The work has the potential to become an open source project to share with the Living Atlas and biodiversity informatics communities.

RANCANG BANGUN SISTEM INFORMASI INVENTORI PADA CV. MORIA BERBASIS JAVA

—Along the development of information technology in this era, it’s increasingly familiar with the use of computer-based programs that function to support the performance of an office or company so that it can run according to the desired target. One example of the use of information technology is the management and storage of web-based inventory data because manual inventory of goods is inefficient, often losing important documents. Therefore, the author intends to conduct research on the design of information systems in CV. Moria. So, it’s hoped that this java-based application can reduce the occurrence of errors and can provide convenience in processing data in an organized and efficient manner for office inventory management. Based on the research that has been done, the office inventory information system in CV. Moria. This information system is made web-based so that it can be accessed via smartphones or computers. This system was also created to make it easier to control inventory stock. The information generated from this information system is available stock data, incoming goods transaction data, and goods transaction data used.

Towards Erlang-based ABS Microservices Framework for Software Product Line Development

The current widely used software system can be categorised as a large or very large decentralised control system with various requirements and continuous interchangeable elements. This characteristic leads to a need to control the variability to manage such systems. Software Product Line Engineering (SPLE) is one of the approaches that can manage the variability by developing sets of products. However, there is a need for support tools for development with software product line engineering. One language that supports the SPLE process is Abstract Behavioral Specification (ABS). Some SPLE research has used ABS to create frameworks that support the SPLE process. ABS Microservices is one research that utilises ABS to create a web framework that supports the SPLE process. This framework uses ABS to generate Java-based applications. The research interest in the web application is driven by the fact that it is one of the software types widely used by organisations and serves as the primary support of their business. Microservices are highly interoperable, thus enabling researchers to integrate different technology from other research. However, there is a need for renewal to the ABS Microservices framework. There is a need for more variants of SPLE-enabled frameworks that use more programming language as a specific programming language has its strength and weakness. Deprecation of the Java backend of the ABS opens a new exploration of another web framework that uses other ABS backend languages. We present the ABS microservices web framework based on Erlang OTP. We choose Erlang because it promises more efficient resource usage and the Erlang backend is one of the ABS backends with the most available features. This research aims to create an entry point for ABS Microservices to support more language. This research shows that the Erlang variant of ABS Microservices has less resource usage than the Java variant. Hence, this promises more options to develop product lines using ABS Microservices.

Predicting Cancerous Genes through an In-Silico Approach

Abstract: In Sequence alignment, the chains of DNA, RNA, or protein are aligned and compared to recognize homogeneous portions which could be the result of functional, organizational, or evolutionary connections between the chains. This process gives similar sequences as its result. Similar sequences often have the same biological function. This knowledge can be used to draw further conclusions that we can ascertain the function of a query DNA sequence by comparing it with a target sequence performing a known function. In this article, we use this idea to develop an Advanced Java-based web application where the user interface allows the user to enter an unknown DNA sequence. Using pattern-matching algorithms, the application can calculate how similar the sequence is with genes stored in a database. Based on the result, a trained medical practitioner will be able to determine whether the unknown gene can be cancerous

Comparative analysis of selected programming frameworks of Java-based web applications

This article presents the results of a comparative analysis of Spring (with Spring Boot configuration), Micronaut and Quarkus programming frameworks. The recently observed increase in popularity of these solutions made it necessary to determine their application profile. In order to determine the characteristics of the researched technologies, a series of performance and optimization tests of applications built on the basis of the above-mentioned programming frameworks were carried out. The results of the analyzes showed that thanks to the high degree of optimization, the Micronaut and Quarkus skeletons are perfectly adapted to work in cloud environments, while Spring (Boot) framework, despite its lower efficiency, is an irreplacible solution in complex projects.

Integrating LoRa-Based Communications into Unmanned Aerial Vehicles for Data Acquisition from Terrestrial Beacons

The Internet of Things (IoT) is a paradigm that has rapidly evolved in recent years. The ability to connect many devices is driving the development of new types of applications that allow the remote monitoring of a wide variety of devices. One of the great challenges that has been identified in this field is the monitoring of sensors scattered in wide areas or located in environments with poor or even no communications coverage. To deal with this problem, different approaches based on cellular or satellite communications have been considered. However, these alternatives are complex and very expensive. To overcome these drawbacks, we designed a system based on unmanned aerial vehicles and LoRa technology that enables data transfer from sensors to a central system. Furthermore, machine learning techniques were applied to process and classify the data retrieved from the sensors. Finally, a Java-based application was developed, providing services such as data storage, processing, and visualization. To verify the correct operation of the proposed system, manual and autonomous flight tests were carried out, verifying the correct transmission of the data from the sensors to the central system.

Perancangan program aplikasi perpustakaan berbasis java pada smp Al-Muhajirin

The purpose of the research entitled "Designing Java-Based Library Application Programs at the AL-MUHAJIRIN Middle School Library" which was designed with Netbeans IDE, XAMPP, and MySQL as the database, namely to assist the processes of transaction activities in the library and facilitate librarians in making student data reports, book data, loan data, return data, so there is no need to use paper media anymore. The design of this library application program goes through several stages, namely the requirements stage, the analysis stage, the design stage and implementation stage, and the deployment stage. In the process of making research reports and collecting data, the authors use qualitative research methods in the form of literature studies, observations and interviews conducted at Al-Muhajirin Junior High School located in Depok. To analyze this application, the author uses object-oriented analysis with Unified Modeling Language (UML).

Development of mobile and desktop applications for a fingerprint-based attendance management system

Mobile application technology has been at the forefront of technological advancement in recent years. This has made life easier, and tasks that were considered herculean have been made easier and executable in a much shorter time than ever. One of such tasks is the process of taking attendance during events (such as lectures and conferences) by scribbling one’s signature and other personal details on a central register. This manual process is cumbersome and inconvenient, especially when a large number of participants are involved. To address this problem, this paper presents an automated solution in which a Java-based mobile application was developed and connected wirelessly to a central database that was created using My structured query language (MySQL) application whose task, among others, was to record attendance information. The database was connected to the backend of the web-based software program which was coded in hypertext pre-processor (PHP) programming language. Authentication was achieved through username, password, and fingerprint information. The system was deployedin a university to log students’ details, time absent, time present and cumulative attendances per month and it was realised that the system was highly effective, efficient and 5 times faster than the conventional paper-based attendance logging technique.