Java Programming Research Articles

Management of coffee agroforestry systems: lessons learned from a social forestry program in West Java, Indonesia

Indonesia has a long history of social forestry (SF). The essence of this scheme is to involve the community in managing state forests. The agroforestry system is the main choice, with trees already on forest land. The combination of trees and crops provides an alternative livelihood for the community. Coffee plants are one of the choices for undergrowth plants. This study aims to explain the management of coffee agroforestry in social forestry programs. The method used was direct observation in the field combined with a focus group discussion involving six Forest Village Community Institutions (LMDH) with 15 respondents for each LMDH. The results showed that farmers mainly chose coffee because it was shade-tolerant, allowing it to grow well under tree stands. Coffee management in SF with an agroforestry system differs from a monoculture cultivation system in terms of spacing, number of coffee plants per hectare, land preparation techniques, planting, maintenance, and productivity. The government can encourage the management of coffee agroforestry systems in state forests through social forestry schemes by providing training and facilities to increase the added value of coffee in advanced products, providing access to production facilities, capital, and markets, and institutionally strengthening farmer groups.

Translating meaning representations to behavioural interface specifications

Higher-order logic can be used for meaning representation in natural language processing to encode the semantic relationships in text. Alternatively, using a formal specification language for meaning representation is more precise for specifying programs and widely supported by automatic theorem provers, while deductive verification based on higher order logic is less common for mainstream programming languages. This paper addresses the research question of translating higher-order logic meaning representations generated from method-level code comments into a formal specification language that extends first-order logic. Doing so requires resolving possible ambiguities in determining the appropriate semantics for predicates. This is an open challenge in the path toward using natural language processing with formal methods. To address this, the paper proposes an approach and constructs a compiler for translating meaning representations, generated from Java programs with method-level comments, into Java Modelling Language. We evaluate the compiler on a set of representative benchmarks, including programs and specifications from the Java API, by generating Java Modelling Language specifications and statically checking them with a theorem prover. Results show that in 94% of the cases Java Modelling Language is accurately generated and in 97% of those cases it can be automatically checked with a state-of-the-art theorem prover.

Integration of Java Programming-Based Pert and Earned Value Management Methods Based on Residential Precast Case Study to Improve Project Cost Efficiency

The need for residential houses is still high for property and construction commodities. The availability of land and market prices for residential houses continue to increase yearly. Only 45.04% of Jakarta residents had a home ownership status in 2020. 2021 is the precast building mode. It is justified that precast construction structures can save 35% on construction costs and are 27.33% more reliable than ordinary concrete structures. The research examines the integration of the PERT method and earned value management (EVM) based on Java programming in residential precast case studies. The results of this study are that the implementation of the PERT method can increase the efficiency of project duration by 6%, and the implementation of the EVM method can increase project cost efficiency by 7% with the indicators Schedule Performance Index (SPI) = 1.01 (under schedule) and Cost Performance Index = 1, 07 (Under Budget)

Smart Solutions for Veterans: Enhancing Amputee Self-Care through Mobile Technology

Introduction: Disability arising from amputation is intricately shaped by both social factors and rehabilitative care. The efficacy of veterans' self-care emerges as a pivotal factor in effectively managing, controlling, and reducing complications, thereby augmenting and enriching their overall quality of life. This research delves into the creation, execution, and assessment of a comprehensive self-care software tailored for amputees, with a focus on harnessing the practical utility of smartphones and their manifest capabilities in the realm of healthcare.Material and Methods: In 2023, an applied developmental study was conducted, encompassing the evaluation, design, development, implementation, and assessment of a mobile application dedicated to the self-care management of veterans with amputations. The mobile application's conception unfolded within the Android Studio environment, utilizing the Java programming language within the Android operating system. A user interface satisfaction questionnaire was used to gauge the app's usability, with feedback from 20 veterans experiencing amputations.Results: The needs assessment for a comprehensive self-care software tailored for amputation veterans identified requisites across four distinct sectors. Building upon these insights, a holistic self-care software solution was meticulously designed. Evaluating usability and user satisfaction revealed that veterans rated the app at a "good" level, with an average score of 7.88±1.03 (out of 9).Conclusion: The mobile application proved apt in content, functionality, and quality, presenting a valuable tool for enhancing the lifestyle, education, and self-care practices of veterans with amputations. This conclusion stems from a thorough usability evaluation from the end-users' perspective.

Wireless Controlled Hexa Wheel Robot based on HC-05 Technology

Robotics is the interdisciplinary branch of engineering and science that includes mechanical engineering, electrical engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing. In this digital age, Robotics represents a transformative shift. As you are all aware, Robotics is utilized extensively in the manufacturing, research laboratories, traffic management, search initiatives, and defence activities. These have streamlined human employees' tasks which was previously performed by humans. Now a days smart phones or android is an open-source operating system which means that any manufacturer on use it in their phones free of charge. More properties make the Android system very applicable for university use: Android uses the Java programming language, which our students are familiar with. Getting started with the Android API is easy; the API is open, i.e. developers can access almost every low-level function and are not sandboxed. In addition, the Android API allows easy access to the hardware components. In the working principle of Robot is based on RF (Radio Frequency) emitted by Bluetooth can be regarded as the control which deals with the use of radio signal to remotely control any device or Robot. Based on all these information we have design and developed a Six Wheel Robotics Module using HC-05 Technology. Keywords:- Robot, HC-05, Arduino uno, Driver, Ultrasonic.

Aplikasi Pemantauan dan Peringatan Dini untuk Energi Baru Terbarukan Berbasis Android dengan Restful Api (Studi Kasus Kajian EBT Polinema dan PT. PLN

Renewable energy sources are environmentally friendly energy sources, because they do not cause environmental changes and do not cause climate change and global warming. Due to the influence of astronomy and geography, Indonesia is a country that is rich in potential new and renewable energy sources such as geothermal energy, solar, water, wind, marine and bioenergy. In the context of providing sustainable electricity, PT. PLN is collaborating with the Malang State Polytechnic to increase the use of renewable energy to become a power plant that utilizes kinetic energy and solar energy. In the development process, monitoring of power plants is currently still done manually. Monitoring the condition of power plants will be more effective and efficient if it is done automatically. Technological trends that support these applications are now starting to increase, especially on smartphones with the Android operating system. From a standalone application, it has now turned into an application that can be connected to other applications using a global network known as Restful API and is integrated with Internet of Things (IoT) technology which can monitor the condition of generators in real time and provide emergency information. Therefore, there is a need for applications that can assist in the process of developing power plants that can monitor and provide early warning notifications. The system designed and implemented uses a MySQL database and the Java programming language in the Android Studio application. From the test results using a Likert Scale, a feasibility percentage of 86.5% of users stated that the application was in accordance with its function and was able to make it easier for users, namely admins, operators, stakeholders, asset managers, project owners and PLN in monitoring EBT generators.

Analysis Of DevOps Infrastructure Methodology and Functionality of Build Pipelines

The DevOps pipeline for infrastructure is a critical component in modern software development and operations practices. It involves automating the provisioning, configuration, and management of infrastructure resources, enabling organizations to achieve agility, scalability, and reliability. This paper presents a plagiarism-free analysis of the DevOps pipeline for infrastructure, conducted through comprehensive research, evaluation of industry best practices, and examination of case studies. The DevOps methodology would collapse without the use of a DevOps pipeline. The phrase is often used to discussions of the methods, procedures, and automation frameworks that go into the creation of software objects. Jenkins, an open-source Java program, is the most well-known DevOps pipeline and is often credited as the catalyst for the whole DevOps movement. Today, we have access to a plethora of DevOps pipeline technologies, such as Travis CI, GitHub Actions, and Argo. To keep up with the need for new and improved software systems, today's development organizations must overcome a number of obstacles. The research highlights key findings, including the importance of automation, infrastructure as code, continuous integration and delivery, security, and monitoring/logging capabilities. These practices have been shown to enhance efficiency, reduce errors, and accelerate deployment cycles. By evaluating tools and technologies, gathering user feedback, and analyzing performance metrics, organizations can identify gaps and develop a roadmap for pipeline improvement. To maintain academic integrity, this analysis adheres to proper citation and referencing practices. Paraphrasing and summarizing research findings and adding personal analysis and interpretations ensure the originality and authenticity of the analysis. Plagiarism detection tools are used to confirm the absence of unintentional similarities with existing content.

Encryption and Description of RGB Values in Images Using the Hill Chiper Algorithm

Information security related to computer use cannot be separated from cryptography. Hill cipher is an application of modulo arithmetic in cryptography. This cryptography technique uses a square matrix as the key used to carry out encryption and decryption. This cryptographic technique was created with the intention of being able to create ciphers (codes) that cannot be broken using frequency analysis techniques. Hill Cipher does not replace each of the same letters in the plaintext with other letters that are the same in the ciphertext because it uses matrix multiplication as a basis for encryption and decryption. Hill Cipher cryptography is a type of classic cryptography that uses a substitution method by providing random keys and the number is the same as the plaintext. The use of encryption and decryption using the Hill cipher algorithm is to help secure data so that it is not easily falsified or accessed by irresponsible people by changing the original image into a different form where the image is not easy to recognize. The encryption and decryption process was designed using the Java programming language using NetBeans 8.2 and the Hill Cipher algorithm to encrypt RGB digital images

A Method and Algorithm for Implementing the Mandelbrot Set for Processing Complex Structured Images

The purpose of research. In our life, fractals are ubiquitous, for example, in nature, there are a huge number of figures similar to themselves and built according to certain laws. Fractals are used in computer graphics, economics, radio engineering, physics and many other fields. The use of fractals in various fields of science can open up many new possibilities. Therefore, the development of a software product designed to visualize the Mandelbrot set is an urgent task. The purpose of the research is to develop a software product designed for processing complex structured images based on fractal methods and algorithms for visualizing the Mandelbrot set.Methods. The Java programming language was used to implement the software product in order to visualize the Mandelbrot set. The SQLite database was used as a local data store. Libraries were also used: JavaFX ‒ to create a user interface; SQLite JDBC 3.21.0 ‒ to work with the SQLite database; imgscalr ‒ to scale images; Apache Commons IO 2.6 to work with the file system; ControlsFX v8.40.14 ‒ to create a user interface.Results. The developed software product based on fractal methods makes it possible to significantly highlight the textural features of images, on the basis of which the clustering operation of selected objects of interest in images is performed in order to export them for further classification.Conclusion. During the implementation of the project, a software product for visualization of the Mandelbrot set was implemented, which can be used to model objects having a fractal shape, in relation to the processing of complexly structured images containing invisible hidden features of objects in the images.

Sistem Monitoring dan Penyiraman Otomatis Pada Bibit Sawit Berbasis Android

The quality of oil palm fruits is very important, and effective seedling care is one of the techniques to produce quality oil palm seedlings. However, seedling care is often constrained by watering, because seedling owners cannot control oil palm seedlings at all times. The purpose of this project is to create a tool and mobile application used to control soil moisture and automatic watering based on android In this study, sensor testing and interviews were used as data collection methods. To determine soil moisture, this system uses a soil moisture sensor. Then the NodeMCU ESP8266 microcontroller will process the data obtained from the sensor, after which the data will be stored in real time in the Firebase realtime database. Android applications made with the Java programming language can be used for monitoring. This system can facilitate the owners of oil palm seedlings in controlling and watering the seedlings, even though they are traveling, the owner of the seedlings can control the oil palm seedlings using the Android application, so that with regular seedling care it will produce quality oil palm

Penerapan Aplikasi Warung Media Berbasis Android Guna Meningkatkan Promosi dan Penjualan

Warung Media is a start-up that provides various media needs such as laptop repair services, graphic design, videography, and all media needs that can be requested by yourself. Media stalls take advantage of technological developments to market their services online, namely through social media and offline. The design of this media shop application is a step to increase sales and promotion of service products offered by the media shop so that it can provide more benefits for the media shop itself. The purpose of building this system is so that customers can order products online and as a promotional media as well as more value from media stalls. In addition, with this application, users can easily see the products offered by media stalls. This system is designed using the java programming language and using the android studio application. The results of this study are the media shop application which is used as a means of sales promotion that can be accessed anywhere and anytime, the service ordering process can be done directly without having to come to the place, and can facilitate the process of buying services transactions, so as to increase sales of services from media stalls

Code Plagiarism Checking Function and Its Application for Code Writing Problem in Java Programming Learning Assistant System

A web-based Java programming learning assistant system (JPLAS) has been developed for novice students to study Java programming by themselves while enhancing code reading and code writing skills. One type of the implemented exercise problem is code writing problem (CWP), which asks students to create a source code that can pass the given test code. The correctness of this answer code is validated by running them on JUnit. In previous works, a Python-based answer code validation program was implemented to assist teachers. It automatically verifies the source codes from all the students for one test code, and reports the number of passed test cases by each code in the CSV file. While this program plays a crucial role in checking the correctness of code behaviors, it cannot detect code plagiarism that can often happen in programming courses. In this paper, we implement a code plagiarism checking function in the answer code validation program, and present its application results to a Java programming course at Okayama University, Japan. This function first removes the whitespace characters and the comments using the regular expressions. Next, it calculates the Levenshtein distance and similarity score for each pair of source codes from different students in the class. If the score is larger than a given threshold, they are regarded as plagiarism. Finally, it outputs the scores as a CSV file with the student IDs. For evaluations, we applied the proposed function to a total of 877 source codes for 45 CWP assignments submitted from 9 to 39 students and analyzed the results. It was found that (1) CWP assignments asking for shorter source codes generate higher scores than those for longer codes due to the use of test codes, (2) proper thresholds are different by assignments, and (3) some students often copied source codes from certain students.

The Sustainability of Reskilling Projects Based on Employees’ Readiness for a Career Shift: Pursuing Sustainable Careers by Transitioning into IT Professions

Today’s organizations are highly responsive to external changes, which they also demand from their employees. All employees need competencies to respond to Industry 4.0, the green business economy, and post-COVID-19 work circumstances and to manage sustainable careers. One way of doing so is to take active part in reskilling projects and be ready for a career shift, which we believe can be foreseen in people’s devotion to sustainable careers and can ensure the sustainability of the whole reskilling project. With the presumption that the concept of sustainable careers can be captured in terms of the concept of readiness for a career shift, this study aims to explore the potential of the scale of readiness for career shifts to predict participants’ success in reskilling projects (in the context of IT professions). The research was conducted on 336 candidates who applied for Java and PHP programming positions and had no previous knowledge or experience in the field. The results show that the scale of readiness for career shifts has acceptable metric characteristics, and canonical discriminant analysis confirmed that the overall score can be used to predict outcomes in the reskilling project, while predictions based on single indicators were rather ambiguous. Therefore, the scale can be used as a tool in the process of selecting reskilling candidates (at least in professional transitions in the domain of IT), but further research on the topic might shed more light on the concept.

Design, implementation and evaluation of e-learning program for common diseases to smartphone-based medical students: at a developing university

ObjectiveMobile-based educational software offers a wealth of resources that can foster the growth of learners and facilitate the creation of an interactive learning environment. This environment encourages both students and instructors to engage in exploration and the examination of various medical issues. The objective of this study is to design, implement, and evaluate an electronic educational program focused on common medical conditions, specifically tailored for medical students and accessible through mobile phones.MethodThe study was conducted following an action research approach, which comprised four key stages: needs assessment, application design, training, and evaluation. This research took place at the Kermanshah University of Medical Sciences’ Medical School. In the needs assessment phase, a formal survey was distributed to the teaching faculty members, requesting them to identify diseases and medical issues of high importance for medical interns’ education that were suitable for virtual teaching. Each faculty member was asked to prioritize a minimum of three and a maximum of seven cases. Subsequently, 10 faculty members from various departments completed the survey, leading to the identification of 47 common diseases after eliminating duplicates. These 47 cases were then presented to 30 medical interns, who were asked to select the 20 most significant cases. The 20 diseases with the highest statistical frequency were selected for further development due to resource constraints. The mobile application was developed for the Android platform using the Java programming language and the Android Studio development environment. To assess the application’s effectiveness from the students’ perspective, a questionnaire was designed, encompassing 25 questions across five domains: satisfaction, performance, learning, usability, and educational effectiveness. The questionnaire employed a Likert scale, with response options ranging from ‘completely disagree’ to ‘completely agree,’ scored from 1 to 5. One hundred medical interns and trainees were invited to participate in the evaluation, with 92 of them completing the questionnaires.ResultsThe findings revealed a significant disparity in the average scores between students who underwent traditional teaching methods and those who engaged in mobile-based app-assisted education. This discrepancy was statistically significant across all three examined components.ConclusionMobile-based learning represents a burgeoning educational approach with profound implications for healthcare education and the enhancement of patient care quality. The widespread integration of mobile phones into the educational framework offers a flexible teaching paradigm, fostering the potential for continuous lifelong learning.

Pengembangan Aplikasi Jasa Cuci Sepatu Menggunakan Teknologi GPS Berbasis Android

The shoe cleaning service business provides professional services in shoe care and is a solution for the community. The development of the shoe industry is the cause of this business continuing to grow, making business actors have to create new innovations in promotional media and service processes to be able to compete. This research aims to develop an Android-based shoe washing service application using Android Studio with the Java programming language and Firebase as a database. This application applies Global Positioning System (GPS) technology to support shuttle services. The system development method used is the waterfall method with 5 stages, namely analysis, design, implementation, testing and maintenance. The results of this research are that the Android-based shoe washing service application can be used as expected, making it easier for business actors to manage orders and making it easier for customers to order by getting pick-up and drop-off services.

Development of a methodology for molecular genetic monitoring for the cholera causative agent

Background. The ongoing cholera pandemic determines the relevance of the development and improvement of methods for analysis of data on genome-wide sequencing of the cholera pathogen. This is of particular importance in the light of the challenges of import substitution of foreign products, including software.
 The aim of the study was to develop a methodology for molecular genetic monitoring for the cholera causative agent using online geographic information system (GIS) and analysis with its help of strains isolated in Russia earlier.
 Materials and methods. Data from genome-wide sequencing of 2598 toxigenic (ctxAB+tcpA+) strains of V. cholerae O1 El Tor, both obtained by the authors on the MiSeq (Illumina) platform, and retrieved from the NCBI database were used in the study. The SNP analysis software was developed in the Java and Python programming languages. Cytoscape program was used to visualize the dendrogram. The development of online GIS was carried out using the programming languages HTML, JavaScript and PHP. The freely distributed Leaflet library written in JavaScript was used as the core. Maps obtained from the OpenStreetMap community were used as cartographic data.
 Results and discussion. A universal set of SNPs and software have been developed to analyze the data of genome-wide sequencing of cholera vibrio strains. It was shown that the majority of strains were distributed among several large clusters. The most closely related strains for cholera vibrions isolated in Russia since 2001 have been identified. An online GIS "Molecular genetic monitoring for V. cholerae" has been created, which allows the recognition of closely related strains directly on an electronic map.

Dataset of United States Incident Management Situation Reports from 2007 to 2021

This paper presents a unique 15-year dataset of Incident Management Situation Reports (IMSR), which document daily wildland fire situations across ten geographical regions in the United States. The IMSR dataset includes summaries for each reported day on national and regional wildfire activities, wildfire-specific activities, and committed fire suppression resources (i.e., personnel and equipment). This dataset is distinct from other wildfire data sources as it provides daily information on national fire suppression resource utilization, national and regional preparedness levels, and management priority for each region and fire. We developed an open-source Java program, IMSR-Tool, to process 3,124 IMSR reports available from 2007 to 2021 to generate this structured IMSR dataset, which can be updated when future reports become available. The dataset presented here and its future extension enable researchers and practitioners to study historical wildfire activity and resource use across regions and time, examine fire management perceptions, evaluate strategies for fire prioritization and fire resource allocation, and exploit other broader usage to improve wildfire management and response in the United States.

RANCANG BANGUN APLIKASI PENCARIAN LAUNDRY BERBASIS ARSITEKTUR MICROSERVICE MENGGUNAKAN METODE RAD

Laundry is a business engaged in providing service services, including washing, ironing, and so on. The options for laundry services nowadays are diverse, ranging from clothing, blankets, carpets, shoes, to helmets. Laundry services have rapidly expanded in various locations in the Cibinong area. However, the widespread presence of laundries coupled with a lack of internet-connected information poses difficulties for individuals in urgent need, making it challenging to find the exact and fast location of laundry services. Therefore, the author has designed and developed an application to facilitate the public in quickly and efficiently finding information and locations of laundry services. The author utilized the Java programming language for building the Android application, with PHP serving as the backend. Microservice architecture was employed, dividing the system into small services, and the Rapid Application Development method was adopted as the development approach. Blackbox testing was used as the testing method.

Automated checker for detecting method-hiding in Java programs

Method overriding is a valuable mechanism that happens when an instance method is defined in a subclass and has the same signature and return type as an instance method in the superclass. However, in Java, if those methods are static, then instead method hiding happens, which is a programming weakness and may produce unexpected results. Static analysis is an approach in software testing that examines code to identify various programming weaknesses throughout the software de velopment process without running it. This paper addresses the detection of method-hiding problem in Java programs. We implemented a new automated checker under the SpotBugs static analysis tool that can detect the mentioned problem. According to our results, the checker precisely detected zhe related issues in both custom test cases and realword programs.

DNA barcoding of the genus Gampsocleis (Orthoptera, Tettigoniidae) from China.

DNA barcoding is a useful addition to the traditional morphology-based taxonomy. A ca. 650 bp fragment of the 5' end of mitochondrial cytochrome c oxidase subunit I (hereafter COI-5P) DNA barcoding was sued as a practical tool for Gampsocleis species identification. DNA barcodes from 889 specimens belonging to 8 putative Gampsocleis species was analyzed, including 687 newly generated DNA barcodes. These barcode sequences were clustered/grouped into Operational Taxonomic Units (OTUs) using the criteria of five algorithms, namely Barcode Index Number (BIN) System, Assemble Species by Automatic Partitioning (ASAP), a Java program uses an explicit, determinate algorithm to define Molecular Operational Taxonomic Unit (jMOTU), Generalized Mixed Yule Coalescent (GMYC), and Bayesian implementation of the Poisson Tree Processes model (bPTP). The Taxon ID Tree grouped sequences of morphospecies and almost all MOTUs in distinct nonoverlapping clusters. Both long- and short-winged Gampsocleis species are reciprocally monophyletic in the Taxon ID Tree. In BOLD, 889 barcode sequences are assigned to 17 BINs. The algorithms ASAP, jMOTU, bPTP and GMYC clustered the barcode sequences into 6, 13, 10, and 23 MOTUs, respectively. BIN, ASAP, and bPTP algorithm placed three long-winged species, G. sedakovii, G. sinensis and G. ussuriensis within the same MOTU. All species delimitation algorithms split two short-winged species,G. fletcheri and G. gratiosa into at least two MOTUs each, except for ASAP algorithm. More detailed molecular and morphological integrative studies are required to clarify the status of these MOTUs in the future.