Java Programming Research Articles

Performance Study of Kotlin and Java Programs with Bytecode Analysis

Performance Study of Kotlin and Java Programs with Bytecode Analysis

Java Programming Language: Time Permanence Comparison with Other Languages: A Review

Java Programming Language: Time Permanence Comparison with Other Languages: A Review

Andrioid mobile application aimed at getting personalized recommendations when selecting references

This article presents the results of the development of a mobile recommendation application to help library readers select references. One of the tasks of a librarian is to provide consultative assistance to the reader in selecting books. Working with a librarian can be replaced by the use of electronic library systems or special programs, which will allow you to solve the same task in less time. At the moment, there are websites and digital libraries that help the user to select books for further reading. They implement various algorithms that allow you to create personalized recommendations. Such systems are designed for electronic reading and are not linked to the databases of municipal library systems. Library readers can obtain recommendations when they choose literature for further reading using a mobile application. The paper considers the process of its creation: analysis of program requirements, design, implementation, testing and implementation. The application is developed for the Android operating system in the integrated development environment Android Studio in the Java programming language. The calculation of the technical and economic indicators of the project in its implementation has shown that the use of the application will provide sufficient economic effect. Its use can simplify the process of selecting books and significantly reduce the time to search for them, thus giving the librarian the opportunity to perform other tasks. The program does not require material costs for installation, which is an obvious advantage, and the functionality and system requirements allow its use on all mobile devices with the Android operating system.

Utilizing MapBox API, Java, and ICT in the creation of agricultural interactive maps for improved farm management and decision-making

<abstract> <p>Agriculture's sustainability is a subject of concern, and digital farming technology has been proposed to solve this problem. The digital revolution is transforming agriculture by utilizing modern equipment, computerized tools, and information and communication technology (ICT) to improve decision-making and productivity. Digital farming technology enables even inexperienced farmers to apply such techniques by using the IoT and AI to collect and analyze data from their farming practices and the surrounding environment to improve productivity. The versatile mapping platform Mapbox is utilized to construct the map, which allows for custom data layer integration and interactive features. Backend development is performed using the Java programming language, which facilitates seamless data processing, storage, and retrieval. The interactive map allows for dynamic overlays of crucial information, such as plot numbers, measurements, crop details, crop health assessments, NDVI, RGB, and DEM. The study involved data collection, analysis of the data, and thematic layer development using GIS to create interactive maps. In this research, two sets of DJI drones, Agisoft Metashape software, QGIS, and Mapbox were used to collect and prepare the data for the interactive map. The data was used to create the results, which were web maps that had several interactive features, such as "display popup on hover, " "swipe between maps, " and "change a map's style." The result was a thematic layer of information such as RGB, NDVI, DEM, and other field information. This research demonstrated the benefits and applicability of information technology for digital transformation in agriculture under the DX Project launched at Niigata University, Japan. This aids in the goal of producing interactive agricultural maps based on map classification, content element analysis, the development of GIS capabilities, and remote sensing data.</p> </abstract>

Design and Implementation of a Campus Secondhand Commodity Trading Platform Based on JAVA Program Design

Design and Implementation of a Campus Secondhand Commodity Trading Platform Based on JAVA Program Design

Digital Implementation of Doteli Dictionary: A Tri-Lingual Dictionary for Doteli Language

This research article discusses the development and implementation of a digital Doteli dictionary, designed to bridge the linguistic gap between Doteli, Nepali, and English. The trilingual dictionary app operates on Android platforms and offers functionalities such as word meaning searches, antonym/synonym retrieval, pronunciation guides, language translation, and the ability to bookmark words. Physical dictionaries have several limitations, including bulkiness, low portability, time-consuming searches, difficulty in modification, limited accessibility, and the absence of pronunciation features. According to the literature, no digital version of the Doteli dictionary has been developed to date. This research aims to address these limitations by providing a digital version of the Doteli dictionary that includes all the aforementioned features. Drawing inspiration from traditional dictionaries, the digital version seeks to preserve, promote, and make the linguistic richness of the Doteli language more accessible. The development and testing of the app follow the System Development Life Cycle (SDLC) approach, with all sample data sourced from physical dictionaries. The system has been successfully implemented and installed on Android-based mobile devices using Java programming. This work is beneficial for language learners, linguists, researchers, teachers, students, and developers.

Implementasi Kebijakan Program Jatim Bebas Pasung

The East Java Provincial Social Service prioritizes the shackle-free East Java program. The program seeks to end the practice of shackling. In reality, the shackle problem is still found in East Java. The aim of the research is to examine the execution of the East Java shackles-free policy as a top priority initiative to help shackle victims regain their social function and spiritual well-being. In this work, a case study methodology uses qualitative research. Then, observation, documentation, and interviews were used to collect data. The six indicators used in this research include policy standards and aims, resources, implementing organization characteristics, relationships between organizations, implementers' attitudes, and the social, economic, and political environment. The study's findings indicate that East Java has not yet fully implemented the shackle-free program. It has been established that several districts and cities have not adopted the shackle-free program because social readiness is limiting their ability to do so. That's holding up the goal of East Java to get rid of shackles.

Transitioning from Scratch to Java: A mixed method investigation into students' learning processes

This research examines the transition from Scratch to Java programming, highlighting high achievement among participants. The study includes 70 students and utilizes mixed methods, combining quantitative analysis and qualitative narratives. Findings demonstrate the effectiveness of Scratch Visual Teaching Aids (VTA) in developing educational games, understanding algorithm concepts, and improving programming projects. Students' attitudes towards Scratch VTA show increased interest, concentration, and enjoyment in learning. Quantitative analysis indicates positive tool capabilities (mean scores ranging from 3.25 to 3.46). Qualitative narratives reveal varying perceptions of the transition, with prior programming knowledge influencing the shift. Challenges include adapting to the learning session and mastering Java's syntax and concepts. This study enhances programming education practices, providing recommendations for educators during the Scratch-to-Java transition.

Implementation of Android-Based Tailoring Service Ordering Application with Geolocation Integration

Basic needs are an aspect that cannot be separated from human life, and one of the important aspects of these basic needs is clothing which not only functions to protect the body but also plays a role in the world of fashion. To meet these fashion needs, tailoring services have a key role in providing clothes that suit consumer desires. While this need is important, customers often rely on conventional methods, such as word-of-mouth recommendations or seeking out a familiar tailor. Some tailors may have a sign in front of their house, but it is often difficult for potential customers to find and connect with them. Therefore, this research aims to implement a tailor service ordering application that is integrated with geolocation features and can make things easier for tailors and consumers. This application development uses the Java programming language and Android Studio as the framework and Firebase as the database. The result of this research is an application that allows customers to order tailor services via smartphone anywhere and anytime.

The multi-layer secure communication system based on 2D-OCDMA coding

Abstract This paper presents a novel multi-layer secure communication system that bases 2D-OCDMA technology to enhance the security and number of users of the system. The system innovatively combines RSA encryption, polarization multiplexing, and address coding techniques to protect and transmit the data. At the transmitting end, the data is encrypted by algorithm and then encoded by address code. The encoded optical data is split into two orthogonal polarization states and sent over the same channel. At the receiving end, only the optical signals in the matching polarization state can be retrieved by the polarizer with the right angle. The retrieved data is then decoded by the address code and decrypted by the algorithm to recover the original data. This system achieves multi-layer security and capacity enhancement by processing the information at different layers. The feasibility of the system is demonstrated by joint experimental simulation using Java programming language and Optisystem simulation software. In this paper, low BER transmission of 4 code words for 8 users 50 km 1Gbit/s is realized using optical orthogonal codes (OOC) with BER around 10−30. It realizes the enhancement of 4-user to 8-user without affecting the transmission effect.

PERANCANGAN APLIKASI PEMESANAN BERBASIS ANDROID PADA JASA LAUNDRY (STUDI KASUS ARFA LAUNDRY SERPONG)

At this time, laundry service is a facility that is widely used by people with the density of activities carried out and limited time to do household tasks, especially in terms of washing and ironing clothes, therefore people prefer laundry services. However, in the current system there is no application that can make it easier for owners or customers to make the process of ordering laundry services and the ordering process is still done manually. To overcome these problems, researchers have provided a solution in the form of designing an Android-based laundry service application to facilitate the ordering process for laundry business owners and make it easier for customers in the process of ordering services. In designing this application the method used is waterfall. This waterfall method is executed sequentially, starting from the initial stage to the final stage, where each stage must be completed before starting the next stage. In the process of making it using Android Studio with the Java programming language and for database storage using Firebase. An android-based laundry service application designed for laundry services aims to improve service efficiency by facilitating laundry owners in receiving orders digitally, as well as helping customers in the process of ordering laundry services through their Android devices.

Geographic Information System Implementation Using Google Maps Api In Mapping Muhammadiyah University In Indonesia

Based on data from the PP Muhammadiyah Research and Development Council, there are 62 Muhammadiyah Universities spread throughout Indonesia. Of the many Muhammadiyah Universities it would be very easy if there was a system that could display information and the location of the university in the form of a map. GIS is a computer information system used to process georeferenced spatial data (in the form of details, facts, conditions, etc.) stored in a database. By implementing the Muhammadiyah University Geographic Information System, it is hoped that it can help users in obtaining spatial and non-spatial information about Muhammadiyah University which is spread throughout Indonesia. The system must consist of input and output, therefore the application built consists of an admin section as input and a user as output. The admin application is used to process Muhammadiyah University location data which was built using the PHP programming language and MySQL database. The user application is used for implementing GIS on mapping Muhammadiyah University in Indonesia which runs on the Android operating system and is built using Android Studio with the Java and XML programming languages. The application can display a list of Muhammadiyah University locations in Indonesia in the form of a map and an ordered list. Utilization of google map in the application is to display a map which uses the google map api and displays the route from the user's location to the selected university.

Application of Open Street Maps Technology for Android-Based Blood Donation Applications

Blood donation is a person's voluntary giving of blood for the purpose and purpose of blood transfusion for other people in need. These activities must be carried out by parties who are authorized and competent in their fields so that they can run and bring the expected benefits. PMI Kampar Regency through the Blood Donation Unit (UDD) in carrying out blood donation activities still uses traditional systems so it is less effective and efficient. Many people find it difficult to get information about blood donation schedules, donor data and also the latest blood stock. Based on these problems, a Blood Donation Application with Android-based Open Street Maps technology is needed. This research uses the Waterfall method by analyzing needs, designing the system, installing, testing and ending with operation. In collecting data, the author also conducted field observations, interviews and literature studies from various supporting books and previous research. This application was built based on Android using the Java programming language and MySQL database as data storage. This application must use GPS (Global Positioning System) to track the coordinates of the user's location

Educational robotics with robocode as a teaching tool to reduce student dropout in engineering courses

Student evasion is a problem that affects institutions of higher education in general, causing impacts of social and economic nature. For this reason, it was adopted in the electrical engineering course, a mini course on using the Java programming language with robocode as a tool for learning education. This language has become increasingly popular for teaching students in universities in the areas of engineering because it has shown effectiveness regarding encouraging the teaching of programming with the open source educational game. This paper presents an efficient method to reduce the great escape of students. The mini course aims activities related to technologies in various aspects of computing: logical reasoning, mathematics, artificial intelligence, neural networks, and object-oriented programming through the integration with the Robocode software. The proposed activities were applied to students of higher education of the Universidade Federal do Ceará in the discipline of Introduction to Engineering. We also believe that these activities have shown the efficiency of educational Robotics as a tool for teaching and learning in object-oriented programming.

RJDemetra, a promising tool for the seasonal adjustment of official statistics

Seasonal adjustment (SA) is a crucial factor in the process of producing official macroeconomic statistics. The most important SA methods, X-13Arima-Seats and Tramo-Seats, are currently included into JDemetra+, a universal open-source environment, which is available on several platforms and operating systems, as a result of adoption of Java programming language for source codes, and Xml metalanguage for the definition of input specifications. This paper focuses on the potentials of RJDemetra, the R library developed for JDemetra+ suite. Its structure and functionalities will be illustrated with several examples, reporting the associated R scripts. In addition, a new operational practices will be suggested, exposing an alternative procedure to enhance interactive time-series updating in SA revision policies step, and also to ensure consistency checking in input system, in order to improve and to speed up the SA estimation process, providing greater security and efficiency. Finally, the interaction between two very different environments such as SAS-IML, and R will be displayed through a new SAS-R procedure available for estimating Quarterly Accounts SA series.

Early childhood educators' beliefs on increasing fundamental motor skills by playing games in a physical education context: The contradictory belief

The development of fundamental motor skills (FMS) is crucial and should begin in early childhood. As of now, several early childhood educators in Indonesia, particularly in West Java, think that incorporating playground games into the classroom curriculum is the best course of action for raising children’s FMS. This study aimed to present statistics on FMS findings for early childhood who have incorporated physical activity into the curriculum and to demonstrate that these results are still in conflict with teachers’ beliefs. Ex post facto research was applied to one of the early childhood education pilot programs in West Java, Indonesia, including a total of 30 kids. This school’s long-standing intervention involves giving children 30 minutes of structured playtime and 30 minutes of unstructured playtime at the start of each learning period. The Test of Gross Motor Development-2 (TGMD-2) was used to measure FMS. The study’s findings showed that both boys’ and girls’ FMS in both locomotor and manipulating components of the movement were very lacking and inversely proportional to teachers’ belief who believe that this activity will improve children’s motor skills. It is recommended that physical education specialists accompany both structured and unstructured play programs conducted on school playgrounds so that the early childhood education curriculum's programs are properly validated to raise children's FMS following Developmentally Appropriate Practice (DAP).

Java-Powered AI: Implementing Intelligent Systems with Code

The fusion of Artificial Intelligence (AI) and Java programming offers a powerful synergy, enabling developers to create intelligent systems and applications with efficiency, robustness, and scalability. This paper explores the amalgamation of Java's versatility and AI's cognitive capabilities, presenting various techniques, libraries, and methodologies that leverage Java's strengths in building AI-driven solutions. The paper commences with an overview of AI concepts and the landscape of Java's role in AI development. It delves into fundamental AI algorithms, such as machine learning, natural language processing (NLP), computer vision, and reinforcement learning, elucidating their implementation in Java through frameworks like Deeplearning, Weka, and Apache OpenNLP. Furthermore, it discusses the utilization of Java in crafting intelligent agents and exploring techniques for creating autonomous decision-making systems, expert systems, and heuristic-driven algorithms. It highlights the integration of Java with AI-enabled tools, emphasizing the importance of data preprocessing, feature engineering, and model deployment. Moreover, the paper examines the challenges and opportunities in Java-based AI development, addressing concerns related to performance optimization, compatibility with diverse data sources, and the interoperability of AI modules. Finally, the paper concludes with a glimpse into the future of Java-powered AI, envisioning advancements in Java libraries, frameworks, and methodologies that will foster the creation of more sophisticated, intelligent systems.

COMPUTER-AIDED METHODS OF PHYSICAL CALCULATIONS AT A HIGHER EDUCATION INSTITUTION

The article deals with the problems of combining physical and computer modeling in solving theoretical and practical problems in the course of physics. Computational physics, that is often defined as a branch of theoretical physics, is used to describe the physical processes studied in mechanics and magnetism. We give the examples of the use of Mat lab and Excel, and the Java programming language for creating spatial models of magnetic fields in solving problems. The presented material is a generalization of the experience of introducing elements of computational physics into the educational process in universities. In the modern times,the information about the world around us is spreading as widely as possible.Therefore, in connection with this, computer science and new information technologies occupy a special place in many professional activities, including teaching students in higher educational institutions. The article deals with the issues of improving the quality of training of future specialists in the system of higher education in accordance with modern requirements for the development of Kazakhstani education.

Design, development and evaluation of a mobile-based self-care application for patients with COVID-19 not requiring hospitalization; a study of Northwest of Iran

BackgroundGiven the effective role of a mobile applications in disease management, disease monitoring, and self-care in patients with COVID-19 disease, we aimed to design, development and evaluation of a self-care Mobile app for COVID-19 patients not requiring hospitalization.MethodsThe design, development and evaluation the usability of the self-care and education mobile app for patients with COVID-19 disease were conducted in two main phases at 2021 in Northwest of IRAN; (1) Determine the features and capabilities and (2) Design, development and evaluation of self-care mobile App. JAVA programming languages and Android Operating System were used and selected to design and development of a mobile app. There were 25 participants who conducted evaluations of the mobile app’s usability and impact using the mobile health app usability a Questionnaire of User Interface Satisfaction was administered to assess the usability of the developed application. The results were analyzed via Excel 2013.ResultsThe model of developing a mobile app as an Information System was the Waterfall model. The smartphone application based on a set of capabilities and features was designed and consists of two main parts: the login screen for user registration, and the main home menu. The user interface includes three main pages or activities; (a) Main Menu for quick access to all of the pages, (b) Symptom management and monitoring to monitor the signs and symptoms during the illness, and (c) Set Reminders and Alarms to notify patients. The users’ mean score of the application usability was calculated as 7.91 out of 9 indicating a good level of satisfaction.ConclusionThis app can be a guideline and a useful tools for managing and monitoring symptoms, reminding medications, and implementing self-care instructions in outpatients. The authors suggest evaluating the efficacy and functionality test of mobile-based applications for COVID-19 in clinical trial studies.

Damerau-Levenshtein Distance Algorithm Based on Abstract Syntax Tree to Detect Code Plagiarism

Purpose: This research aimed to detect source code plagiarism based on Abstract Syntax Tree using Damerau-Levenshtein Distance algorithm, which is expected to streamline the inaccuracies and time-consumption associated with the manual process.Methods: Damerau-Levenshtein Distance algorithm was used to determine the similarity between source code files and calculate F-Measure. The dataset, which consisted of 178 source code files from 20 coursework assignments, was obtained from GitHub by Lawton Nichols in 2019. Damerau-Levenshtein Distance algorithm was used to compute the minimum cost required to transform one line of code into another. Furthermore, ANTLR detected AST, which was processed through preprocessing, including node pruning, function and variable sorting, and log output removal. Result: The result showed that the two methods took 5.704 seconds and 0.996 seconds to complete. The lowest and highest values obtained using F-Measure were 0.16 and 0.8, respectively. Therefore, the system performed detection processes quickly and effectively detected common forms of code plagiarism with difficulty in the more complex forms. Novelty: In conclusion, this research used AST and Damerau-Levenshtein Distance algorithm to calculate the 5 levels of similarity in Java programming language source code. For further development, preprocessing steps were needed to prune unnecessary nodes and detect equivalent but differently syntaxed code.