Media Journal of General Computer Science (MJGCS)
Media Journal of General Computer Science (MJGCS), e-ISSN: 3031-3651 is a peer-reviewed journal in Indonesian or English. The purpose of this publication is to disseminate high-quality articles that are devoted to discussing any and all elements of the most recent and noteworthy advancements in the field of computer science. The applications of information technology, applied computing, and computer science are all included in its purview. Skip to main contentSkip to main navigation menuSkip to site footer Open Menu Home / Aims and Scope Aims and Scope Computer Science: Computer Architecture, Parallel and Distributed Computing, Pervasive Computing, Computer Networks, Embedded Systems, Human-Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (covering Software Lifecycle, Management, Engineering Process, and Engineering Tools and Methods), Programming (encompassing Programming Methodology and Paradigm), and Data Engineering (involving Data and Knowledge Level Modeling, Information Management, Knowledge-Based Management Systems, and Knowledge Discovery in Data). This diverse landscape also includes Network Traffic Modeling, Performance Modeling, Dependable Computing, High-Performance Computing, 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, Distributed Computing Systems, Mobile Processing, Next-Generation Networks, Computer Network Security, Natural Language Processing, Business Process, and Cognitive Systems. Information Systems : Data Engineering (comprising Data and Knowledge Level Modeling, Information Management, Knowledge-Based Management Systems, and Knowledge Discovery in Data), Software Engineering (addressing Software Lifecycle, Management, Engineering Process, and Engineering Tools and Methods), Information Retrieval, IT Governance, Networking Technology, Business Process, Intelligent Systems, Multimedia Security, Information Search Engine, Distributed Computing Systems, Mobile Processing, Next-Generation Networks, Computer Network Security, Natural Language Processing, and Cognitive Systems. Signal Processing : Signal Theory, Digital Signal and Data Processing, Stochastic Processes, Detection and Estimation, Spectral Analysis, Filtering, Signal Processing Systems, Environmental Signal Processing, and various applications such as Image Processing, Pattern Recognition, Optical Signal Processing, Multi-dimensional Signal Processing, Communication Signal Processing, Biomedical Signal Processing, Geophysical and Astrophysical Signal Processing, Earth Resources Signal Processing, Acoustic and Vibration Signal Processing, Data Processing, Remote Sensing, Speech Processing, Signal Processing for Audio, Visual, and Performance Arts, Radar Signal Processing, Sonar Signal Processing, Seismic Signal Processing, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Video Processing, Industrial Applications, and New Applications. Telecommunication: 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 Platforms, Communication Network and Systems, and Telematics Services and Security Network. Instrumentation & Control: Optimal, Robust, and Adaptive Controls, Nonlinear and Stochastic Controls, Modeling and Identification, Robotics, Image-Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligence and Expert Systems, Fuzzy Logic, and Neural Networks, and Complex Adaptive Systems.
Articles
30 Documents
<![CDATA[Assessing Digital Literacy of Batanghari University Students: A Four-Pillar KOMINFO Framework Analysis ]]>
<![CDATA[Megawati Ananda Putri]]>;
<![CDATA[Imelda Agustin]]>;
<![CDATA[Agra Tiadef]]>;
<![CDATA[Ariaga Dwisura T]]>;
<![CDATA[Sahal Maghfud]]>;
<![CDATA[Wahyudi Eka Putra]]>;
<![CDATA[Daniel Arsa]]>;
<![CDATA[Mochammad Arief Hermawan Sutoyo]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 1 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i1.106
<![CDATA[The Society 5.0 era demands comprehensive digital literacy skills encompassing technical competencies, critical thinking, digital ethics, and active participation in digital spaces. This study assesses digital literacy levels of university students at Batanghari University, Jambi Province, using the four-pillar framework developed by the Ministry of Communication and Information Technology, Digital Literacy Activist Network, and Siberkreasi. The research employed quantitative descriptive approach with 100 students from 20 study programs aged 18-29 years. Data was collected through structured questionnaire containing 31 items measuring digital skills, digital safety, digital ethics, and digital culture using 4-point Likert scale. The instrument demonstrated high validity with correlation values above 0.361 and excellent reliability with Cronbach's Alpha of 0.95926. Findings reveal excellent overall digital literacy levels, with 1279 points in "Very High" category and 1034 points in "High" category. Digital Skills showed best performance, followed by Digital Culture, Digital Safety, and Digital Ethics. Results indicate student readiness for Society 5.0 era despite regional internet penetration below national average.]]>
<![CDATA[Analysis Of An Automatic Iot- Based Chili Plant Watering System Using Fuzzy Logic And The Adaline Algorithm ]]>
<![CDATA[Seli Puri Andani]]>;
<![CDATA[RAHMAD HIDAYAT LENDRIAN]]>;
<![CDATA[Sinta Wati]]>;
<![CDATA[Jackson]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 1 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i1.117
<![CDATA[Chili plants are high-value horticultural commodities whose growth and productivity are strongly influenced by water availability. Inaccurate irrigation practices can reduce crop yield and lead to inefficient water usage. This study proposes an automatic chili plant watering system based on the Internet of Things (IoT) that integrates soil moisture sensors, the Adaptive Linear Neuron (ADALINE) algorithm for sensor data validation, and fuzzy logic for irrigation decision-making. The system is developed using a NodeMCU microcontroller and is equipped with a web-based interface for real-time monitoring. Experimental results show that the proposed system is capable of classifying soil moisture levels into appropriate irrigation categories and automatically activating the water pump according to actual field conditions. Repeated tests conducted at different times demonstrate consistent and stable system performance. Therefore, the proposed system effectively improves irrigation accuracy, enhances water-use efficiency, and facilitates remote monitoring of chili plant conditions.]]>
<![CDATA[IoT-Based Fire Detection System Using ESP32 and Telegram ]]>
<![CDATA[Hartanto Dwi Cahyadi]]>;
<![CDATA[Tasmi]]>;
<![CDATA[Muhammad Gald Teary]]>;
<![CDATA[Ferdiansyah]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 1 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i1.146
<![CDATA[The increasing adoption of artificial intelligence (AI) in educational technology has created new opportunities to support second language (L2) writing development. Beginner English learners often struggle with grammatical accuracy, limited vocabulary, and unclear sentence construction, while immediate and individualized feedback remains difficult to provide in traditional learning settings. This study proposes a rule-based AI writing assistant designed to deliver automated, transparent, and interpretable feedback for beginner-level English writing without relying on data-intensive machine learning models. The system employs symbolic AI principles through predefined grammatical rules and heuristic textual metrics to evaluate writing quality across three dimensions: grammar accuracy, vocabulary richness, and text clarity. Grammar errors are detected using regular expression-based rules, vocabulary quality is measured via lexical diversity ratios, and clarity is estimated using a length-based heuristic. These metrics are normalized and combined to produce an overall writing quality score. To enhance usability and learner engagement, the system integrates visual feedback elements, including progress bars, graphical score representations, and animated character responses. Functional testing using sample beginner texts demonstrates that the proposed system effectively identifies common writing issues, provides consistent scoring, and delivers immediate, explainable feedback. The results indicate that rule-based AI, when combined with visual feedback mechanisms, can offer a lightweight, efficient, and pedagogically meaningful solution for beginner English writing support. This approach is particularly suitable for educational contexts that prioritize explainability, accessibility, and low computational requirements.]]>
<![CDATA[A Rule-Based AI Writing Assistant for Beginner English Learners with Visual Feedback ]]>
<![CDATA[Arief Zikry]]>;
<![CDATA[Yusi Nurmala Sari]]>;
<![CDATA[Muhammad Sulkhan Nurfatih]]>;
<![CDATA[Firza Septian]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 1 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i1.149
<![CDATA[The increasing adoption of artificial intelligence (AI) in educational technology has created new opportunities to support second language (L2) writing development. Beginner English learners often struggle with grammatical accuracy, limited vocabulary, and unclear sentence construction, while immediate and individualized feedback remains difficult to provide in traditional learning settings. This study proposes a rule-based AI writing assistant designed to deliver automated, transparent, and interpretable feedback for beginner-level English writing without relying on data-intensive machine learning models. The system employs symbolic AI principles through predefined grammatical rules and heuristic textual metrics to evaluate writing quality across three dimensions: grammar accuracy, vocabulary richness, and text clarity. Grammar errors are detected using regular expression-based rules, vocabulary quality is measured via lexical diversity ratios, and clarity is estimated using a length-based heuristic. These metrics are normalized and combined to produce an overall writing quality score. To enhance usability and learner engagement, the system integrates visual feedback elements, including progress bars, graphical score representations, and animated character responses. Functional testing using sample beginner texts demonstrates that the proposed system effectively identifies common writing issues, provides consistent scoring, and delivers immediate, explainable feedback. The results indicate that rule-based AI, when combined with visual feedback mechanisms, can offer a lightweight, efficient, and pedagogically meaningful solution for beginner English writing support. This approach is particularly suitable for educational contexts that prioritize explainability, accessibility, and low computational requirements.]]>
<![CDATA[An EUCS-Based Analysis of Student Satisfaction with ShopeePay ]]>
<![CDATA[Egi E. Ningsih]]>;
<![CDATA[Beni Irawan]]>;
<![CDATA[Dwi A. Gusriyanti]]>;
<![CDATA[Amroni]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 1 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i1.153
<![CDATA[ShopeePay is one of the digital wallet services widely used in online and offline transactions, especially among students. As part of the Shopee ecosystem, ShopeePay is expected to provide convenient, accurate, and satisfying services for its users. However, several limitations, such as the absence of cash withdrawal features, virtual debit cards, and investment services, may affect user satisfaction. These issues indicate the need for an evaluation of ShopeePay from the perspective of end users. This study aims to analyze the factors that influence user satisfaction with the ShopeePay application using the End User Computing Satisfaction (EUCS) model. The research adopts a quantitative approach by distributing questionnaires to students of Universitas Dinamika Bangsa (UNAMA) who actively use ShopeePay. The EUCS variables examined include Content, Accuracy, Format, Ease of Use, and Timeliness. Data analysis was conducted using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS software and bootstrapping techniques. The results show that three variables significantly affect user satisfaction, while two variables do not. Among all variables, Format has the strongest influence on user satisfaction, highlighting the importance of interface design and information presentation.]]>
<![CDATA[Utilization of YOLO for Detection and Segmentation of Ultrasound Medical Images in Hydatidiform Mole (Molar Pregnancy) ]]>
<![CDATA[Diva Nabilla Balqis]]>;
<![CDATA[Dwi Setia Ningrum]]>;
<![CDATA[Dwi Erna Septi Utami]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 2 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i2.43
<![CDATA[This study aims to explore the utilization of the YOLO (You Only Look Once) algorithm for detecting and segmenting ultrasound (USG) medical images in cases of hydatidiform mole (molar pregnancy). Hydatidiform mole is a pathological condition that requires rapid and accurate diagnosis to prevent serious complications. By using a diverse dataset of ultrasound images, the YOLO model was trained to recognize and identify suspicious areas within the images. Evaluation results indicate that this model significantly improves detection and segmentation accuracy compared to manual analysis methods, while also providing higher efficiency in the diagnostic process. The implementation of a YOLO-based system is expected to assist healthcare professionals in making quicker and more accurate decisions, thereby enhancing health outcomes for patients. This research highlights the potential of artificial intelligence technology in the medical field, particularly in diagnosing complex obstetric conditions.]]>
<![CDATA[The Development of a Sign Language Detection System Using TensorFlow and CVzone ]]>
<![CDATA[Dinda Putri Ramadani]]>;
<![CDATA[Prayitno]]>;
<![CDATA[Praditya Oktanza Djaduk Wibisono]]>;
<![CDATA[Mochammad Rizky Abadi Sutoyo]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 2 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i2.50
<![CDATA[Sign language is a communication system used to help deaf people interact with each other. In Indonesia, there are two main sign languages, namely Indonesian Sign Language (BISINDO) and Indonesian Sign Language System (SIBI), each of which has differences in the use of hands. This research develops a SIBI-based sign language recognition system using TensorFlow and CVzone. This system uses computer vision technology and machine learning to recognize SIBI alphabet hand gestures. The model is developed using a dataset captured by a camera and trained with TensorFlow to enable real-time gesture recognition, while CVzone facilitates effective gesture tracking. Test results show that the average accuracy in recognizing the SIBI alphabet reaches more than 90%, which reflects the system's good performance in recognizing the alphabet. It is expected that the accuracy of detecting hand gestures in sign language will be improved to support communication for the deaf community in Indonesia.]]>
<![CDATA[Product Sales Optimization with DBSCAN Clustering Algorithm on e-commerce Dataset ]]>
<![CDATA[Daisy Larisa]]>;
<![CDATA[Firdaus]]>;
<![CDATA[rafael]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 2 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i2.62
<![CDATA[This research aims to optimize product sales strategies in e-commerce businesses by utilizing the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) clustering algorithm. DBSCAN is applied to a customer transaction dataset to group customers into segments based on their purchasing patterns, represented by the Quantity and UnitPrice variables. The clustering results demonstrate that DBSCAN effectively identifies customer segments with distinct characteristics, such as loyalty, price sensitivity, and product preferences. This information is then used to design targeted sales strategies, including personalized product recommendations, relevant promotional offers, and efficient inventory management. Implementing DBSCAN-based optimization strategies is expected to improve sales, profitability, and customer satisfaction. This research highlights the effectiveness of the DBSCAN clustering algorithm as a valuable tool for understanding customer behavior and optimizing sales strategies in e-commerce businesses.]]>
<![CDATA[Design of a Web-Based Jambi City Civil Service Police Unit Member Activity Reporting System ]]>
<![CDATA[Rian Saputra]]>;
<![CDATA[Hendrawan]]>;
<![CDATA[Muhammad Ismail]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 2 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i2.103
<![CDATA[Currently, all operational activities in the Jambi City Civil Service Police Unit are carried out manually, and the existing computers are only used to make reports. These operational activities include the process of entering member data, inputting activity reports, and also managing information about the unit. With manual data collection, it requires a lot of labor to carry out repetitive administrative tasks. The aim of this research is to analyze the needs for an activity reporting system for members of the Jambi City Civil Service Police Unit and to design a website-based activity reporting system for members of the Jambi City Civil Service Police Unit. Researchers carried out system development using the Waterfall method. The results of this research. With a new system designed to make it easier to collect data on reports on the activities of the Jambi City Civil Service Police Unit quickly and the data is stored well, in addition to shortening the time for making reports.]]>
<![CDATA[Evaluation of Academic Information System Using COBIT 2019 at Universitas Dinami ka Bangsa Jambi: Evaluation of Academic Information System Using COBIT 2019 at Universitas Dinami ka Bangsa Jambi ]]>
<![CDATA[Beni Irawan]]>;
<![CDATA[Sirly Aulia Ashar]]>;
<![CDATA[Amroni]]>
<![CDATA[ Media Journal of General Computer Science Vol. 3 No. 2 (2026): MJGCS ]]>
Publisher : <![CDATA[MASE - Media Applied and Engineering ]]>
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DOI: 10.62205/mjgcs.v3i2.174
<![CDATA[The Academic Information System, commonly known as SIAKAD, played an important role in supporting the implementation of academic processes in higher education institutions, including the management of student information, course scheduling, and grade management. Universitas Dinamika Bangsa Jambi adopted SIAKAD as the primary platform for technology-based academic services. However, in its operation, several issues were encountered, including service availability disruptions, inadequate application responsiveness, and suboptimal management of information technology operations. This situation highlighted the need to assess IT service governance to ensure that the system operated effectively and efficiently. The objective of this study was to evaluate the governance capability of the Academic Information System using the COBIT 2019 framework, particularly within the Deliver, Service, and Support (DSS) domain, focusing on the DSS01 (Manage Operations) and DSS02 (Manage Service Requests and Incidents) processes. The research methodology consisted of observations, interviews, and the distribution of questionnaires to stakeholders identified through the RACI diagram. The data were analyzed using the COBIT 2019 capability level framework in conjunction with the Guttman scale. The findings indicated that the capability level of IT service management fell within the category of a defined process; however, it had not yet been adequately assessed and documented. In addition, a gap was identified between the current condition (As-Is) and the expected condition (To-Be). The recommendations derived from this study included the development of standard operating procedures for IT services, the improvement of operational documentation, and the implementation of periodic monitoring of IT services to enhance the quality of the Academic Information System services at Universitas Dinamika Bangsa Jambi.]]>
