Archives
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J-KOMA: Journal of Computer Science and Applications
Vol. 9 No. 01 (2026)This Issues presents six research articles spanning computer science, applied statistics, and information systems. This edition features a broad spectrum of analytical and modeling approaches, from the Vector Error Correction Model (VECM) for examining the long- and short-term relationships between taxation and Indonesia's economic growth, to discriminant analysis methods—Linear and Quadratic Discriminant Analysis—for early cervical cancer risk prediction based on behavioral and psychosocial attributes. The articles in this volume also demonstrate extensive applications of machine learning and deep learning: sentiment analysis using Random Forest to gauge public opinion on the reinstatement of academic streaming policy in senior high schools, a comparative study of lexicon-based and machine learning approaches (SVM, Naïve Bayes, Random Forest) for classifying sentiment in Indonesian telemedicine reviews, and a CNN-based transfer learning approach using MobileNetV2 and DenseNet121 for automated lung disease diagnosis from MRI imaging. Rounding out this volume is a systems development study presenting the optimization of a web-based room information management system (SIPERAD) using the Waterfall method. Overall, the contributions in this volume illustrate the application of modern computational and statistical methods to real-world problems across the fiscal, educational, healthcare, and higher-education administration domains, making it relevant reading for researchers, data science practitioners, health informatics scholars, and policymakers.
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J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Vol. 8 No. 02 (2025)This volume presents seven cutting-edge research articles in the fields of computer science and applied statistics. This edition features a diverse range of data analysis methods, from robust regression for handling outliers in poverty modeling, Random Forest-based imputation techniques for missing data, to clustering algorithms for grouping forest fire hotspots and poverty-stricken areas in Indonesia. The articles in this volume also explore the application of machine learning and deep learning, including the prediction of lignin content in rice bran using K-Nearest Neighbor with PCA preprocessing, as well as student dropout risk prediction using Long Short-Term Memory (LSTM) based on longitudinal academic performance data. Overall, the contributions in this volume demonstrate the application of modern computational methods to address real-world problems in social, environmental, agricultural, and higher education domains, making it relevant reading for researchers, data science practitioners, and policymakers.
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J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Vol. 8 No. 1 (2025)This issue of J-KOMA, published by Universitas Negeri Jakarta, is a collection of articles delving into computer science innovations in education, web crawling, data mining, search algorithms, and fish classification, utilizing cutting-edge technological approaches. These articles are designed to offer smart solutions relevant to educators, researchers, and practitioners in the field. All articles are open access; download the PDF for more information!
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J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Vol. 7 No. 2 (2024)This issue of J-KOMA, published by Universitas Negeri Jakarta, is a collection of articles exploring diverse innovations in computer science, covering topics such as finance, maritime, cybersecurity, sentiment analysis, and education, utilizing data-driven and machine learning approaches. These articles are crafted to offer practical solutions and support data-based decision-making, making them relevant for practitioners and academics. All articles are open access; download the PDF for further details!
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J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Vol. 4 No. 1 (2021)Mei Publication covering materials of new submission of the last 6 months
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J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Vol. 3 No. 1 (2020)April Publication covering materials of new submission of the last 6 months
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J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
Vol. 2 No. 1 (2018)Terbitan ke-2 dan pertama di tahun 2018
E-ISSN: 2620-4827
