Journals

  • 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.

  • Journal of Data Science and Informatics Engineering

    Journal Name: Journal of Data Science and Informatics Engineering
    Initial: JoDSIE
    Frequency of Publication: 3 Times a Year (December, April and August)
    DOI Prefix: https://doi.org/10.64803/jodsie
    ISSN: 3123-948X (Online Media)

    The Journal of Data Science and Informatics Engineering (JoDSIE) is an open-access, peer-reviewed academic journal that publishes high-quality research articles and reviews in the fields of data science, informatics, and engineering. It aims to bridge the gap between theory and practice by providing a platform for innovative contributions that advance the development, application, and understanding of data science methodologies and informatics engineering solutions. JoDSIE is committed to showcasing interdisciplinary research that addresses real-world challenges across various industries and academia, offering valuable insights into how data-driven approaches can foster technological advancements and improve decision-making processes. The journal focuses on publishing cutting-edge research in the areas of data science, machine learning, artificial intelligence, big data analytics, informatics, and engineering systems. It covers both theoretical developments and practical implementations of data-driven techniques in diverse domains. JoDSIE seeks to highlight advances in data processing, computational models, algorithms, and the engineering of systems that leverage data for decision-making, problem-solving, and optimization. Additionally, the journal is dedicated to fostering a deeper understanding of the ethical, legal, and societal implications of data science and informatics engineering.