Archives

  • 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.

  • 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!

  • 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!

  • J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
    Vol. 6 No. 2 (2023)

    Terbitan kedua tahun 2023

  • J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
    Vol. 6 No. 1 (2023)

    Terbitan pertama tahun 2023

  • J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
    Vol. 5 No. 1 (2022)

    Terbitan tahun 2022

  • J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
    Vol. 4 No. 1 (2021)

    Mei Publication covering materials of new submission of the last 6 months

  • J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
    Vol. 3 No. 1 (2020)

    April Publication covering materials of new submission of the last 6 months

  • J-KOMA : Jurnal Ilmu Komputer dan Aplikasi
    Vol. 2 No. 1 (2018)

    Terbitan ke-2 dan pertama di tahun 2018

    E-ISSN: 2620-4827