Journals

  • Indonesian Journal of Machine Learning and Intelligent Systems

    Indonesian Journal of Machine Learning and Intelligent Systems (IJMLIS, Indones. J. Mach. Learn. Intell. Syst., e-ISSN 3164-2756) is a peer-reviewed international journal dedicated to advancing research on theoretical developments and practical implementations in the dynamic fields of machine learning, artificial intelligence, and intelligent systems, published by the Indonesian Artificial Neural Network Society (IdNNS). The IJMLIS journal aims to advance intelligent technologies and data-driven innovations while supporting the development of responsible, impactful AI solutions that contribute to scientific progress and societal benefit.

    Anyone who would like to submit a manuscript is advised to read the aims and scope section and the author guidelines of this journal. All manuscripts must be submitted to the IJMLIS Editorial Office using the Online Submission Service at https://journal.idnns.org/index.php/ijmlis/submission.

    Abbreviation: Indones. J. Mach. Learn. Intell. Syst.
    ISSN: 3164-2756 (online)
    Editor-in-chief: Prof. Media Anugerah Ayu, Ph.D, SMIEEE | more info
    Scope: Machine learning, artificial intelligence, intelligent systems | more info
    Publication types: Original Research Articles, Review Articles | more info
    Distribution: Open Access | more info
    Peer-review: Blind review | more info
    Frequency: Triannually (April, August, and December)
    Indexing: Google Scholar| more info
    Submission: Author guidelines, Submission process, Editorial team
    Commencement: April 2026 | Current issue, More issues

  • Indonesian Journal of Cybersecurity and Emerging Risks

    Indonesian Journal of Cybersecurity and Emerging Risks (IJCYBER, Indones. J. Cybersecur. Emerg. Risks) is a peer-reviewed, open-access international journal published by the Indonesian Artificial Neural Network Society (IdNNS). It publishes original research articles, review papers, technical reports, and case studies that contribute to theoretical development and practical implementation in the dynamic fields of cybersecurity, digital risk management, and emerging technological threats. The IJCYBER journal encourages researchers, academics, practitioners, policymakers, and industry professionals to present innovative ideas, methodologies, and solutions to address evolving challenges in cyberspace and digital infrastructure.

    Anyone who would like to submit a manuscript is advised to read the aims and scope section and the author guidelines of this journal. All manuscripts must be submitted to the IJCYBER Editorial Office using the Online Submission Service at https://journal.idnns.org/index.php/ijcyber/submission.

    Abbreviation: Indones. J. Cybersecur. Emerg. Risks
    Publisher: Indonesian Artificial Neural Network Society
    Editor-in-chief: Prof. Dr. Teddy Mantoro, SMIEEE | more info
    Scope: Cybersecurity, digital risk & threat management, innovative security methodologies | more info
    Publication types: Original Research, Review, Technical Reports, Case Studies | more info
    Distribution: Open Access | more info
    Peer-review: Blind review | more info
    Frequency: Biannually (June and December)
    Indexing: Google Scholar | more info
    Submission: Author guidelines, Submission process, Editorial team
    Commencement: June 2026 | Current issue, More issues

  • Indonesian Journal of Cyber-AI and Security Intelligence

    Indonesian Journal of Cyber-AI and Security Intelligence (IJCASI, Indones. J. Cyber-AI Secur. Intell.) is a peer-reviewed, open-access international journal published by the Indonesian Artificial Neural Network Society (IdNNS). It publishes high-quality original research articles, review papers, and case studies that contribute to theoretical development, technological innovation, and practical implementation in the fields of cyber defense, threat intelligence, digital forensics, AI for security, and data-driven intelligence analysis. The IJCASI journal encourages researchers, academics, practitioners, policymakers, and industry professionals to present innovations, methodologies, and analytical approaches to address evolving challenges in digital security and intelligence systems. IJCASI particularly supports research that strengthens national and global cyber resilience, digital sovereignty, and intelligent security systems.

    Anyone who would like to submit a manuscript is advised to read the aims and scope section and the author guidelines of this journal. All manuscripts must be submitted to the IJCASI Editorial Office using the Online Submission Service at https://journal.idnns.org/index.php/ijcasi/submission.

    Abbreviation: Indones. J. Cyber-AI Secur. Intell.
    Publisher: Indonesian Artificial Neural Network Society
    Editor-in-chief: Prof. Dr. Teddy Mantoro, SMIEEE | more info
    Scope: Cyber defense, threat intelligence, digital forensics, AI for security, data-driven intelligence analysis | more info
    Publication types: Original Research, Review, Case Studies | more info
    Distribution: Open Access | more info
    Peer-review: Blind review | more info
    Frequency: Biannually (June and December)
    Indexing: Google Scholar | more info
    Submission: Author guidelines, Submission process, Editorial team
    Commencement: June 2026 | Current issue, More issues

  • Journal of Intelligent Systems for Community Development

    Journal of Intelligent Systems for Community Development (JISCoDe, J. Intell. Syst. Community Dev.) is a peer-reviewed, interdisciplinary academic journal published by the Indonesian Artificial Neural Network Society. It aims to advance the design, application, and impact of intelligent systems in fostering sustainable and inclusive community development. The journal serves as a platform for researchers, practitioners, policymakers, and innovators to explore how emerging technologies—such as artificial intelligence, data analytics, the Internet of Things, and decision support systems—can be leveraged to address real-world societal challenges.

    JISCoDe emphasizes research that bridges technological innovation with community needs, particularly in areas such as smart governance, public service optimization, environmental sustainability, healthcare accessibility, education, and socio-economic empowerment. The journal welcomes contributions that demonstrate practical relevance, ethical considerations, and measurable impact on communities, especially in developing and underserved regions.

    By promoting explainable, responsible, and human-centered intelligent systems, JISCoDe aims to support evidence-based policymaking, strengthen institutional capacity, and empower communities through technology-driven solutions. The journal publishes original research articles, review papers, case studies, and policy analyses that contribute to both theoretical advancement and real-world implementation.