Journal of Computer Science Application and Engineering
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
30 Documents
<![CDATA[Heavy Equipment Rental Apps Using Ionic Framework ]]>
<![CDATA[Tobias, Neec Chander]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 1 (2024): JOSAPEN - January ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i1.21
<![CDATA[The study delves into the development of an Android-based heavy equipment rental application for PT. Gajah Unggul Internasional. The article underscores the significance of information systems in the heavy equipment rental business, introducing the specific context of PT. Gajah Unggul Internasional, a company providing various construction and industrial equipment. Recognizing the need for an efficient system to expedite processes such as borrowing, repaying, and restocking heavy equipment, the author proposes an Android application utilizing the Ionic Framework, a powerful open-source SDK. The methodology section outlines a meticulous five-stage research design, encompassing data collection, inception, elaboration, construction, and transition. The results and discussion section provides a detailed analysis of the application, including use case diagrams, activity diagrams, sequence diagrams, class diagrams, and the system interface. Black box testing validates the functionality and effectiveness of the proposed system, demonstrating successful outcomes in various aspects such as login, registration, equipment data viewing, and rental history tracking. In conclusion, the study showcases the successful integration of the Ionic Framework to enhance the efficiency and effectiveness of heavy equipment rental processes for PT. Gajah Unggul Internasional. The developed application offers a user-friendly interface catering to diverse stakeholders, emphasizing its practicality and functionality. Overall, the article contributes valuable insights into leveraging technology to streamline and optimize business operations in the heavy equipment rental industry.]]>
<![CDATA[Beyond the Classroom: MOOCs and the Evolution of Lifelong Learning ]]>
<![CDATA[Anson, Adriel Moses]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 1 (2024): JOSAPEN - January ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i1.22
<![CDATA[This study explores the transformative impact of Massive Open Online Courses (MOOCs) on lifelong learning, challenging traditional education paradigms and offering accessible, flexible, and global learning opportunities. Focusing on the dynamics, challenges, and potentials associated with MOOCs, the research emphasizes their role in shaping education beyond conventional classroom settings. The study employs a multidimensional analysis, combining a comprehensive literature review, empirical research methods, and a discussion of findings to provide nuanced insights. Key findings reveal that MOOCs, characterized by massive scalability and interactive features, reach a global audience and engage learners dynamically. However, challenges such as completion rates, learner engagement, quality assurance, access, monetization, and integration persist, necessitating strategic interventions. The study identifies the potential of MOOCs to revolutionize education by offering global accessibility, supporting lifelong learning, accommodating diverse learning styles, integrating innovative technologies, bridging industry-relevant skills gaps, and fostering collaborative learning communities. In conclusion, MOOCs stand at the forefront of the educational landscape, poised to play a pivotal role in the future of education. The article recommends practical strategies for stakeholders to enhance MOOC accessibility, improve learner engagement, address certification concerns, and integrate these platforms into formal education systems. Embracing the transformative power of MOOCs is crucial for building a global learning community that thrives on accessibility, innovation, and continuous learning in the evolving digital era.]]>
<![CDATA[Empowering Education: Cloud Solutions for Remote Schools in Indonesia ]]>
<![CDATA[Ahmad, Asiyah]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 1 (2024): JOSAPEN - January ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i1.23
<![CDATA[This article explores the transformative potential of cloud solutions in addressing the educational challenges faced by remote and underserved regions in Indonesia. The introduction highlights the significance of technology integration in education and emphasizes the obstacles Indonesia encounters in delivering quality education to remote areas. Cloud solutions emerge as a promising avenue, providing scalable tools to bridge the urban-rural learning gap. The literature review delves into the transformative impact of cloud-based education, citing studies that emphasize enhanced student engagement and personalized learning experiences. It underscores the importance of factors such as infrastructure development, internet connectivity, and digital literacy, essential for the success of cloud-based education in remote areas. Cultural considerations are also discussed, emphasizing the need to align technology with local values. The methodology section outlines the research steps, including a literature review, real-world implementation examples, exploration of potential benefits, and practical suggestions for policymakers and educators. Real examples of successful cloud technology implementations illustrate the positive outcomes, ranging from improved access to educational resources to streamlined administrative processes. The author summarizes the potential of cloud solutions, highlighting aspects such as accessibility, scalability, cost-effectiveness, collaboration, and personalized learning.]]>
<![CDATA[Umroh Service Information System at El-Fajr Palembang ]]>
<![CDATA[Lestari, Oktaviyani]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 1 (2024): JOSAPEN - January ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i1.24
<![CDATA[This article explores the integration of web technology in managing prospective Umrah pilgrims at El-Fajr Tour and Travel Palembang. In response to the rapid evolution of communication technology, the study emphasizes the efficiency and effectiveness of web-based communication in connecting users across diverse locations. El-Fajr Palembang, founded in 2018, envisions becoming a trusted leader in providing Umrah packages and travel services. To streamline operations and enhance services, the study adopts the waterfall model for system development. The article presents the results and discussion, focusing on the system interface's design, illustrated by the main page. Black box testing validates the functionality of user and admin interfaces, ensuring that all proposed functions operate effectively. The testing criteria cover aspects such as menu display, login functionality, travel package registration, and administrative tasks, all validated. In conclusion, the study affirms the successful implementation of the computerized web-based system at El-Fajr Palembang, poised to enhance Umrah pilgrim registrations, activity schedules, and information dissemination. The system aligns with El-Fajr Palembang's vision to become a leading travel and tour company, demonstrating the potential of web technology in optimizing service delivery.]]>
<![CDATA[Editorial: Smart Parking Management System Using Artificial Intelligence ]]>
<![CDATA[Amirah]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 1 (2024): JOSAPEN - January ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i1.25
<![CDATA[The escalating challenges of urban parking due to increasing urbanization and rising vehicle numbers have spurred the integration of Artificial Intelligence (AI) into parking management. This article explores the potential of a Smart Parking Management System (SPMS) driven by AI to revolutionize urban parking infrastructure. The SPMS leverages AI technologies, including advanced algorithms, machine learning models, and real-time data analytics, to intelligently monitor, allocate, and optimize parking spaces. Beyond addressing immediate concerns such as congestion and parking availability, the system aligns with broader urban development goals of sustainability and improved quality of life. The SPMS offers benefits beyond convenience, contributing to a more sustainable and eco-friendly urban environment. By optimizing traffic flow and reducing time spent searching for parking, the system aims to decrease fuel consumption, emissions, and overall environmental impact. The emergence of Internet of Things (IoT) technologies plays a crucial role, with sensors in parking spaces providing real-time occupancy information, and enabling dynamic system responses. Mobile applications and smart devices further empower users with real-time information, fostering smart and sustainable transportation habits. While the promise of AI-driven SPMS is considerable, challenges such as data privacy, security, and seamless integration into existing urban infrastructure must be addressed.]]>
<![CDATA[Enhanced Dynamic Programming Approaches for Efficient Solutions to the Traveling Salesman Problem ]]>
<![CDATA[Anson, Adriel Moses]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 2 (2024): JOSAPEN - July ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i2.32
<![CDATA[This study aims to enhance dynamic programming techniques for efficiently solving the Traveling Salesman Problem, a fundamental combinatorial optimization challenge. Given its NP-hard classification, traditional exact algorithms become computationally infeasible as the problem size increases. The research revisits foundational dynamic programming principles, notably the Held-Karp algorithm, and identifies existing limitations. The study begins with a comprehensive literature review, followed by an analysis of the dynamic programming challenges specific to TSP. Novel algorithms are then developed, implemented, and rigorously tested against benchmark instances. Performance evaluation is conducted using metrics such as execution time, memory usage, and solution optimality across different problem sizes. Results demonstrate significant improvements in efficiency and scalability, with enhanced algorithms achieving optimal solutions in reduced time and computational resource usage. However, the exponential growth in complexity remains a challenge for larger instances. The study concludes with recommendations for future research, focusing on further algorithmic refinements and exploring hybrid approaches to address large-scale TSPs.]]>
<![CDATA[The Effectiveness of Smart Waste Recycling Management Applications ]]>
<![CDATA[Sulistio, Beni]]>;
<![CDATA[S, Ahmad]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 2 (2024): JOSAPEN - July ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i2.33
<![CDATA[This study evaluates the effectiveness of smart waste recycling management applications, which leverage IoT sensors, AI algorithms, and big data analytics to enhance waste management efficiency. Analyzing data from five regions, it is evident that these technologies have significantly improved waste collection efficiency and recycling rates. IoT sensors optimized collection routes, resulting in a 15-23% increase in efficiency and a 10-17% rise in recycling rates, while reducing operational costs by $9,000 to $13,000 per month. AI algorithms enhanced sorting accuracy and recycling rates, particularly in regions with diverse waste types, leading to an 18% improvement in efficiency and up to a 20% increase in recycling rates. Big data analytics facilitated better decision-making and long-term planning, contributing to a 15-20% efficiency boost and a 12-17% rise in recycling rates. These findings underscore the potential of smart waste management technologies to transform waste management practices, highlighting the need for continued investment and expansion of these systems.]]>
<![CDATA[Analysis for Technology Acceptance of Internal Apps at Regency Level in Indonesia ]]>
<![CDATA[Ines]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 2 (2024): JOSAPEN - July ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i2.34
<![CDATA[This study investigates the factors influencing technology acceptance of internal applications within regency-level government institutions in Indonesia, utilizing the Technology Acceptance Model (TAM). The analysis focuses on key variables including perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using (ATU), behavioural intention to use (BITU), and actual system usage (ASU). The results reveal strong correlations across all variables, indicating a high level of acceptance and positive engagement with the apps among government employees. Additionally, reliability testing shows high internal consistency, with Cronbach's Alpha values exceeding 0.9 for most variables, confirming the stability and dependability of the measurements. These findings suggest that government employees generally find the internal apps beneficial and user-friendly, leading to favorable attitudes and continued usage. This research provides valuable insights that can inform the development and implementation of future digital initiatives at the regency level in Indonesia.]]>
<![CDATA[Innovative Solutions for High School Inventory Management: An Information System Approach ]]>
<![CDATA[Frida]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 2 (2024): JOSAPEN - July ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i2.35
<![CDATA[This paper explores the development and implementation of an innovative information system designed to enhance inventory management in high schools. Traditional inventory methods, often reliant on manual tracking, are prone to errors and inefficiencies, which can hinder resource allocation and decision-making. By adopting an information system approach, schools can automate processes, improve data accuracy, and provide real-time access to inventory information. The study outlines key features such as real-time tracking, automated alerts, and role-based access controls, which are critical to the system's effectiveness. The results demonstrate significant improvements in workflow efficiency, data accuracy, and overall resource management. Despite the challenges associated with system implementation, including cost and training requirements, the benefits make this approach a compelling solution for modernizing high school inventory practices. The paper concludes with recommendations for broader adoption and further research to optimize these systems for educational settings.]]>
<![CDATA[Enhancing Hospital Efficiency through IoT and AI: A Smart Healthcare System ]]>
<![CDATA[Ahmad, Asiyah]]>
<![CDATA[ Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 2 (2024): JOSAPEN - July ]]>
Publisher : <![CDATA[PT. Lentera Ilmu Publisher ]]>
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DOI: 10.70356/josapen.v2i2.36
<![CDATA[In the rapidly evolving healthcare landscape, the integration of Internet of Things (IoT) and Artificial Intelligence (AI) is transforming hospital efficiency. This study explores how these technologies can enhance hospital operations by optimizing resource management, improving patient care, and reducing operational costs. IoT devices enable real-time monitoring of patient health and hospital assets, facilitating timely interventions and maintenance. Concurrently, AI-driven analytics improve decision-making processes by predicting patient needs and optimizing resource allocation. The synergy between IoT and AI creates a smart healthcare system that offers advanced data processing and actionable insights, leading to improved patient outcomes. Despite challenges such as data privacy concerns and infrastructure investments, the potential benefits of IoT and AI in healthcare are substantial. This paper presents a comprehensive framework for integrating these technologies into hospital operations, highlighting their impact on efficiency and patient care. The findings suggest that IoT and AI can significantly enhance hospital performance, paving the way for a smarter healthcare system.]]>
