Journals

  • Scitech Framework

    SciTech Framework is a peer-reviewed, open-access journal published by LP2ITE and managed through the ICSIT Publishing Platform. Established in 2019, the journal focuses on interdisciplinary research in science, technology, and digital transformation. It publishes original articles, reviews, and case studies twice a year (March and August), and adheres to the COPE guidelines for publication ethics.

  • Social Science Global Insights

    Social Science Global Insights publishes original research articles, reviews, and theoretical papers focusing on social phenomena and global challenges. The journal emphasizes interdisciplinary approaches and encourages submissions that offer fresh perspectives on social dynamics, cultural diversity, and human development. By connecting academic research with real-world applications, the journal aims to contribute to sustainable social progress and inclusive societies.

  • DeepX Journal

    DeepX Journal

    DeepX: International Journal of Deep Learning and Artificial Intelligence Systems

    DeepX Journal (e-ISSN: xxxx-xxxx) is a peer-reviewed, open-access international journal dedicated to advancing the frontiers of deep learning and artificial intelligence systems. Published by ICSIT, the journal serves as a premier platform for researchers, academics, and industry practitioners to disseminate groundbreaking research and innovative applications. We particularly encourage submissions that present novel theoretical insights, rigorous empirical evaluations, or significant real-world deployments. All submitted manuscripts undergo a strict single-blind peer-review process to ensure the highest standards of quality and scientific integrity. The journal is published biannually (twice a year) in June and December. Special issues may be published occasionally to highlight emerging topics.

    Editor in Chief

    Budi Sunaryo
    Affiliation    : Universitas Bung Hatta, Indonesia.
    Email    : budi.sunaryo@bunghatta.ac.id
    Domain of Research    : Information Technology, Computer Networks, Machine Learning, Internet of Things, Data Analytics.