Journals

  • Journal of Data Science and Informatics Engineering (JoDSIE)

    Journal of Data Science and Informatics Engineering

     
     
    Open Access • Peer Reviewed • Scholarly Journal

    Journal of Data Science and Informatics Engineering

    JoDSIE

    A scholarly platform for advancing research, innovation, and knowledge in data science, informatics engineering, artificial intelligence, computational methods, and emerging information technologies.

    Journal
    JoDSIE
    e-ISSN
    3123-948X
    DOI Prefix
    10.64803/jodsie
    Frequency
    3 Issues / Year

    About the Journal

    Journal of Data Science and Informatics Engineering (JoDSIE) is a peer-reviewed, open-access scientific journal published by CV. Raskha Media Group.

    JoDSIE provides a scholarly platform for researchers, academics, professionals, engineers, and practitioners to disseminate original research and significant scholarly contributions in data science, informatics, artificial intelligence, information technology, and related computational disciplines.

    The journal promotes rigorous research methodologies, methodological innovation, interdisciplinary collaboration, reproducible research, and practical contributions addressing contemporary scientific, technological, and societal challenges.

    01

    Aim

    JoDSIE aims to advance scholarly communication and knowledge exchange by publishing high-quality research that contributes to the development of data science, informatics engineering, artificial intelligence, computational methods, and emerging information technologies.

    02

    Scholarly Commitment

    JoDSIE is committed to academic integrity, rigorous peer review, editorial transparency, research ethics, responsible use of technology, and continuous improvement of scholarly publishing practices.

    Focus and Scope

    JoDSIE welcomes original research, review articles, and systematic literature reviews addressing, but not limited to, the following areas:

    ◆ Data Science and Data Analytics
    ◆ Machine Learning and Deep Learning
    ◆ Artificial Intelligence
    ◆ Big Data and Data Mining
    ◆ Natural Language Processing
    ◆ Computer Vision and Image Processing
    ◆ Information Systems and Informatics
    ◆ Software Engineering
    ◆ Database Systems and Data Engineering
    ◆ Decision Support Systems
    ◆ Internet of Things and Intelligent Systems
    ◆ Computational Intelligence
    ◆ Cybersecurity and Privacy
    ◆ Human–Computer Interaction
    ◆ Applied Computing and Emerging Technologies
    ◆ Ethical, Legal, and Societal Aspects of AI and Data

    Target Readership

    JoDSIE is intended for researchers, academics, lecturers, students, engineers, information technology professionals, industry practitioners, policymakers, and scholars interested in data science, informatics engineering, artificial intelligence, and related computational disciplines.

    Article Types

    RESEARCH

    Original Research Article

    Empirical and methodological studies presenting original scholarly contributions supported by appropriate research methods.

    REVIEW

    Review Article

    Critical and analytical reviews synthesizing important developments, evidence, and research directions.

    SYSTEMATIC REVIEW

    Systematic Literature Review

    Evidence-based scholarly syntheses using transparent, rigorous, and reproducible review methodologies.

    Peer Review and Editorial Standards

    All manuscripts submitted to JoDSIE undergo an initial editorial assessment followed, where appropriate, by a double-blind peer-review process. Manuscripts considered suitable for review are evaluated by at least two independent reviewers with relevant academic or professional expertise.

    Editorial decisions consider originality, methodological rigor, relevance to the journal's scope, clarity, research integrity, scholarly contribution, and overall quality of the manuscript.

    OPEN ACCESS

    Immediate and Free Access to Research

    JoDSIE follows a fully open-access publishing model. Published scholarly articles are made immediately and freely available online without subscription or access barriers, subject to the applicable Creative Commons license.

    Publication & Journal Information

    Journal Title
    Journal of Data Science and Informatics Engineering
    Abbreviation
    JoDSIE
    Online ISSN
    3123-948X
    DOI Prefix
    10.64803/jodsie
    Publication Frequency
    Three issues per year
    Publisher
    CV. Raskha Media Group
    ◆

    JoDSIE is committed to advancing responsible, transparent, rigorous, and accessible scholarly communication in data science and informatics engineering.

  • Journal of Electrical Engineering Research (JOEER)

    Journal of Electrical Engineering Research

    Journal Name : Journal of Electrical Engineering Research
    Initial : JOEER
    Frequency of Publication : 3 Times a Year (January, May and September)
    DOI Prefix: https://doi.org/10.64803/joeer
    e-ISSN: 3110-4894 (Online Media)
    p-ISSN: XXXX-XXXX (Print Media)

    URL: https://ejurnal.raskhamedia.or.id/index.php/joeer
    OAI: https://ejurnal.raskhamedia.or.id/index.php/joeer/oai

    The Journal of Electrical Engineering Research is a peer-reviewed academic publication dedicated to the advancement of knowledge in the field of electrical engineering with ISSN: 3110-4894 (online media). It serves as a platform for high-quality research contributions addressing various aspects of electrical engineering, ranging from theoretical concepts to practical applications. The journal covers a wide array of topics including but not limited to circuit design, power systems, communications, control systems, electronics, signal processing, and renewable energy technologies. It aims to facilitate the exchange of innovative ideas and methodologies, bridging the gap between academia, industry, and research.