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Contact Name
Ahmad Sanmorino
Contact Email
admin@lenterailmu.com
Phone
+6289523504235
Journal Mail Official
admin@lenterailmu.com
Editorial Address
Jl. Jend. Sudirman No 001 RT/RW 001/007, Muara Dua, Prabumulih Timur, Kota Prabumulih, Provinsi Sumatera Selatan, 31114
Location
Kota prabumulih,
Sumatera selatan
INDONESIA
Journal of Computer Science Application and Engineering
ISSN : 30312272     EISSN : 30312272     DOI : -
Introduction Journal of Computer Science Application and Engineering (JOSAPEN) is a peer-reviewed open-access journal organized by the Lentera Ilmu Publisher, Indonesia. The journal invites academicians (student and lecturer), researchers, and engineers to contribute to the development of theoretical and practice-oriented theories of Computer Science and Electrical Engineering, which covers some major areas such as 1) Artificial Intelligence, 2) Image and Data Processing, 3) Information Technology and System, 4) Internet of Things (IoT), 5) Microprocessor and Embedded System, 6) Electrical and Electronics Engineering, 7) Control systems and Robotics, 8) Computer Networks, 9) Information Security, and other related areas. This journal also invites reviewers and editors to be involved in the review process. This journal will become a discussion forum between the author and the reviewer and mediated by the editor. Focus And Scope The Journal of Computer Science Application and Engineering (JOSAPEN) publishes original papers in the fields of computer science, informatics engineering, and electrical, which cover, but are not limited to, the following scope: Computer Science, Computer Engineering and Informatics: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data), Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security, Human-Machine Interface, Stochastic Systems, Information Theory, Intelligent Systems, IT Governance, Networking Technology, Optical Communication Technology, Next Generation Media, Robotic Instrumentation, Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Telecommunication and Information Technology: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network; Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems; Electrical and Power Engineering: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements; Instrumentation and Control Engineering: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems.
Articles 20 Documents
First Step for Vehicle License Plate Identification Using Machine Learning Approach Amirah; Ahmad Sanmorino
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 1 (2023): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

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Abstract

Automated vehicle license plate identification, critical in modern transportation systems, finds application in traffic monitoring, law enforcement, and transportation optimization. This study explores machine learning's potential to enhance accuracy and efficiency in this domain. Leveraging neural networks and pattern recognition, it aims to build an automated system robust across diverse conditions. Addressing limitations in traditional methods, it focuses on adapting to lighting, angles, and image quality variations. The societal impact includes streamlining law enforcement and optimizing traffic flow, revolutionizing transportation and surveillance. Methodologies cover data collection, ethical considerations, preprocessing, feature extraction, model selection, and iterative refinement. Ethical data handling ensures privacy compliance. Feature extraction methods like HOG, LBP, CNNs, and color histograms capture crucial aspects for identification. Model selection spans SVMs, CNNs, decision trees, and ensemble methods, considering task complexity and dataset characteristics. This study evaluates machine learning's potential for revolutionizing license plate identification systems.
Pilot Investigation on Assessing the Quality of Banyuasin Disdukcapil Online Services and its Impact on User Satisfaction Arvia Fildzah Suharmanto
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 1 (2023): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

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Abstract

This study focuses on evaluating the quality of online services provided by Banyuasin Disdukcapil and its relationship with user satisfaction. Through a pilot investigation, the efficiency and performance of these services were meticulously examined, covering usability, response time, data accuracy, and information security. The study aimed to understand user perspectives and their satisfaction levels to establish correlations between service quality and user sentiment. Methodologically, nine research stages were executed, culminating in the development of a questionnaire based on the WebQual 4.0 method, exploring Usability Quality, Information Quality, Service Interaction Quality, and User Satisfaction. The validity and reliability tests ensured the credibility of the instruments used. The investigation revealed strong positive correlations across all studied aspects: Usability Quality demonstrated high correlations (r count) ranging from 0.703 to 0.785, emphasizing ease of use, clarity, and positive user experience. Information Quality and Service Interaction Quality showed correlations from 0.545 to 0.783, indicating reliability, accuracy, security, and ease of communication. User Satisfaction exhibited correlations between 0.604 and 0.741, highlighting factors influencing user contentment. Validity testing confirmed the suitability of all indicators without the need for removal, while reliability analysis (Cronbach's Alpha) established consistency across variables.
A Vocational Student Service Information System Using Mobile Technology Muhammad Dedi Wahyudi
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 1 (2023): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

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Abstract

Education's purpose at Vocational High School (SMK) PGRI 3 Palembang emphasizes holistic student development, encompassing religious, intellectual, and character aspects. With a significant student body, manual administrative processes hinder effective discipline enforcement and extracurricular management. To address these issues, a mobile-based student information system is proposed to expedite disciplinary actions, attendance tracking, and extracurricular selections. Employing the waterfall model, the study progresses through phases of system development, culminating in the design and testing of a robust system architecture. Utilizing UML diagrams, the system is outlined, featuring actors such as administrators, teachers, and the deputy principal. The client-server model, with a mobile app and web server, facilitates efficient data management and presentation. Black box testing confirmed the system's operational efficacy. This proposed system offers a comprehensive solution to streamline administrative tasks, enhancing decision-making and operational efficiency at SMK PGRI 3 Palembang.
E-Training Course Test Apps as a Media for Measuring Students' Academic Abilities Siti Fatimah
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 1 (2023): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

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Abstract

This study introduces an E-Training application developed to overcome limitations in traditional classroom settings where time constraints and delayed material delivery hinder student development. E-Training, utilizing information technology in education, responds to the evolving landscape of technological advancements and the global need for IT-based teaching concepts. The implementation of this system follows the prototype model, emphasizing iterative development stages, enhancing understanding, reducing risks, and ensuring cost-effective solutions. The research outlines the comprehensive design process involving UML diagrams, including use case, activity, sequence, and class diagrams, to establish a versatile educational platform. It details the system's structure involving three key actors: admin, student, and teacher. Moreover, the study elaborates on the testing phases encompassing black box and white box methodologies. Black box tests validate successful functionalities like logins, data input, and storage across user roles. Meanwhile, white box testing focuses on logic verification, ensuring accurate computations and display of student scores and rankings. Overall, this E-Training application emerges as a solution bridging the limitations of traditional classrooms, offering an adaptable environment for learning and teaching. Its systematic development and successful testing signify a substantial stride towards enhancing educational accessibility and effectiveness in the digital age.
Public Service Information System at the Department of Public Works Development and Spatial Planning Bintang Naipospos; Evi
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 1 (2023): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

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Abstract

The Public Service Information System at the Department of Public Works Development and Spatial Planning in South Sumatra Province is a pivotal solution for managing road infrastructure. Roads are crucial for regional development and economic progress. This system, utilizing the prototype model, Object-Oriented Analysis and Design (OOAD), and Unified Modeling Language (UML) tools, facilitates effective monitoring, reporting, and resolution of road damage. The methodology involves iterative prototyping, ensuring a clearer understanding of requirements and reducing risks. The system design includes various UML diagrams, depicting system functionalities, actors, and interactions, while its architecture outlines a streamlined flow of information. Initial testing validated the system's effectiveness, showcasing its ability to handle functions and interfaces proficiently. Overall, this system significantly contributes to efficient road infrastructure management, meeting community needs, and government responsibilities for effective public services. Acknowledgments are extended to the South Sumatra Public Works Department of Highways and Spatial Planning for their support.
Web-Based Community Data Collection for the Family Hope Program in Jakabaring Sub District Mutiara Maharani; Dona M
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 2 (2023): JOSAPEN - July
Publisher : PT. Lentera Ilmu Publisher

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Abstract

This paper addresses the need for an information system to manage data for the Family Hope Program (PKH) in Jakabaring Sub District, Palembang City, Indonesia. The PKH aims to provide assistance to Very Poor Households (RTSM), intending to alleviate immediate burdens and break the cycle of poverty across generations. The absence of a dedicated information system has led to frequent data loss, prompting the proposal and development of a structured system to enhance data collection, processing, and management. Employing the Waterfall model, the system development approach was meticulously structured, progressing through sequential stages—analysis, design, coding, testing, and implementation. The system's design components, including Use case diagrams, Activity diagrams, Sequence diagrams, and Class diagrams, were crucial in outlining functionalities and relationships within the proposed system. Notably, the proposed system's interface, exemplified by an admin dashboard, offers a user-friendly layout featuring population graphs and intuitive menus for data management and reporting. Black Box testing results exhibited satisfactory performance across various system functionalities, affirming its potential to efficiently manage data for the PKH. Overall, this proposed information system stands as a promising solution to mitigate data loss challenges and enhance efficiency in supporting Very Poor Households in Jakabaring Sub District.
From Algorithms to Cures: AI's Impact on Drug Discovery Fitrah Karimah; Amirah
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 2 (2023): JOSAPEN - July
Publisher : PT. Lentera Ilmu Publisher

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Abstract

This study explores the paradigm-shifting fusion of artificial intelligence (AI) and pharmaceuticals, heralding a new era of innovation in drug development. AI's transformative potential revolutionizes the traditionally arduous drug discovery process by seamlessly assimilating vast data volumes encompassing molecular structures, genetics, and disease pathways. This synergy expedites the identification of potential drug candidates with heightened precision and efficiency, propelling breakthrough treatments. The exploration navigates through AI-driven computational models, showcasing their role in expediting drug validation and optimization. AI's iterative learning enhances predictive capabilities, forecasting medication efficacy and safety profiles, thereby minimizing clinical trial risks and boosting success rates. Beyond acceleration, AI reshapes drug development strategies toward personalized medicine. Analyzing expansive patient datasets, AI tailors treatments based on genetic variations and disease characteristics, promising optimized therapeutic outcomes and minimized adverse effects, marking a departure from traditional healthcare approaches. The methodology employed various research techniques, including literature reviews, data collection, surveys, case studies, synthesis, and recommendations, offering comprehensive insights into AI's impact on drug discovery. In conclusion, the study emphasized AI's transformative potential in revolutionizing drug discovery, advocating for continued exploration and integration to optimize pharmaceutical research and development practices.
Improving Distance Learning Security using Machine Learning Asiyah Ahmad
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 2 (2023): JOSAPEN - July
Publisher : PT. Lentera Ilmu Publisher

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Abstract

This study explores the intersection of machine learning and distance learning security, aiming to fortify online educational platforms amidst the evolving digital landscape. With technological advancements fueling the rise of distance learning, concerns regarding cybersecurity in virtual educational environments have grown significantly. The fusion of machine learning and distance learning security represents a proactive approach to bolstering safety and integrity within virtual classrooms. Leveraging sophisticated algorithms, this amalgamation seeks to preempt security breaches by identifying irregular patterns, addressing vulnerabilities, and swiftly countering risks like phishing attempts and data breaches. By utilizing historical data and real-time monitoring, machine learning models offer predictive capabilities, enabling educational institutions to anticipate emerging threats and safeguard the learning process while ensuring data integrity and user privacy. While machine learning techniques, such as anomaly detection and predictive modeling, have shown promise in fortifying security measures, ethical considerations and collaborative efforts are essential for responsible implementation. This comprehensive study, involving literature review, knowledge enrichment, case studies, and informed conclusions, aims to guide further research and practical applications in enhancing distance learning security through machine learning.
Cosine Similarity-based Plagiarism Detection on Electronic Documents Lidia Permata Sari
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 2 (2023): JOSAPEN - July
Publisher : PT. Lentera Ilmu Publisher

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Abstract

This study addresses the prevalent issue of plagiarism in academic theses documents, recognizing the potential for undetected similarities within various sections of documents, escaping supervisor oversight. Proposing a solution utilizing the cosine similarity method—a robust technique in natural language processing and document analysis—this research aims to mitigate plagiarism occurrences. The method's benefits, such as independence from document length and high accuracy, advocate for its adoption in plagiarism detection. The study delineates the Waterfall model employed for systematic development, showcasing its structured but inflexible nature in accommodating evolving software requirements. Additionally, the elucidation of cosine similarity mechanics elucidates its pivotal role in quantifying textual resemblance between documents. Practical demonstrations using TF-IDF vectorization and cosine similarity computation offer a step-by-step understanding of the method's implementation. System design, illustrated through UML diagrams and system interface depictions, underscores the comprehensive approach taken in creating a plagiarism detection application. Lastly, successful Black Box testing confirms the application's adherence to functional criteria, validating its efficiency in identifying potential instances of plagiarism. This study contributes significantly to addressing plagiarism concerns through a robust detection mechanism.
Vector Space Model-based Information Retrieval Systems at South Sumatera Regional Libraries M. Akbar As Shiddiqi; A Sanmarino
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 2 (2023): JOSAPEN - July
Publisher : PT. Lentera Ilmu Publisher

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Abstract

This study presents an overview of the research aimed at optimizing library information retrieval through the utilization of the Vector Space Model (VSM) method in a computer science context. Libraries, as publicly financed collections, provide extensive knowledge resources, eliminating the need for individual book purchases. However, the challenge lies in efficiently navigating the expanding library collections. To tackle this issue, the study employs information retrieval techniques, particularly the VSM method, which assesses term similarity by assigning weights to terms, enabling document and query representation as vectors. The relevance between documents and queries is measured through vector similarity. This approach, integrated with indexing, streamlines collection retrieval in libraries. Employing the Waterfall model for system development, the research outlines phases like analysis, design, coding, testing, and implementation. While effective, the model's rigidity in accommodating evolving requirements poses limitations. The VSM method's numerical representation of text documents facilitates precise similarity calculations, supported by TF-IDF values indicating term importance in documents relative to the corpus. The study further extends to system design using UML diagrams and a visitor interface, integrating VSM for efficient search functionality. Black-box testing confirms the robustness of the system components and interfaces. Overall, this research presents a systematic approach to enhance information retrieval in libraries, emphasizing the VSM's pivotal role in optimizing document searches within expansive collections.

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