Journals

  • Scientific Journal of Engineering Research

    The Scientific Journal of Engineering Research (SJER) (e-ISSN: 3109-1725) is a peer-reviewed and open-access scientific journal, managed and published by PT. Teknologi Futuristik Indonesia in collaboration with Universitas Qamarul Huda Badaruddin Bagu and Peneliti Teknologi Teknik Indonesia. The journal is committed to publishing high-quality articles in all fundamental and interdisciplinary areas of engineering, with a particular emphasis on advancements in Information Technology. It encourages submissions that explore emerging fields such as Machine Learning, Internet of Things (IoT), Deep Learning, Artificial Intelligence (AI), Blockchain, and Big Data, which are at the forefront of innovation and engineering transformation.

    SJER welcomes original research articles, review papers, and studies involving simulation and practical applications that contribute to advancements in engineering. It encourages research that integrates these technologies across various engineering disciplines.

    The scope of the journal includes, but is not limited to:

    • Mechanical Engineering
    • Electrical Engineering
    • Electronic Engineering
    • Civil Engineering
    • Architectural Engineering
    • Chemical Engineering
    • Mechatronics and Robotics
    • Computer Engineering
    • Industrial Engineering
    • Environmental Engineering
    • Materials Engineering
    • Energy Engineering
    • All fields related to engineering

    By fostering innovation and bridging knowledge gaps, SJER aims to contribute to the development of sustainable and intelligent engineering systems for the modern era.


    Author Diversity Map

     

  • Scientific Journal of Computer Science

    The Scientific Journal of Computer Science (SJCS) (e-ISSN: 3110-3170) is a peer-reviewed and open-access scientific journal, managed and published by PT. Teknologi Futuristik Indonesia in collaboration with Universitas Qamarul Huda Badaruddin Bagu and Peneliti Teknologi Teknik Indonesia. The SJCS dedicated to publishing high-quality research across all areas of computer science, with a particular focus on emerging technologies that are shaping the future of computing.

    SJCS invites original research, review papers, and studies that involve practical applications, simulations, and theoretical advancements.

    The journal's scope includes, but is not limited to:

    • Artificial Intelligence & Machine Learning
    • Data Science & Big Data
    • Cybersecurity & Cryptography
    • Cloud Computing & Distributed Systems
    • Software Engineering
    • Human-Computer Interaction
    • Computer Vision & Natural Language Processing
    • Internet of Things (IoT)
    • Blockchain Technologies
    • Robotics & Automation
    • Computational Biology & Bioinformatics
    • All fields related to computer science

    SJCS aims to advance the development of innovative computing systems that contribute to technological progress across industries.


    Author Diversity Map

     

  • Methods in Science and Technology Studies

    The Methods in Science and Technology Studies (MSTS) (e-ISSN: 3123-4232) is a peer-reviewed and open-access scientific journal, managed and published by PT. Teknologi Futuristik Indonesia in collaboration with Universitas Qamarul Huda Badaruddin Bagu and Peneliti Teknologi Teknik Indonesia.

    The journal publishes research that focuses on methods, models, analytical approaches, and systematic studies in science, technology, and science- and technology-based education. It aims to support the development and application of scientific and technological methods in addressing research problems and practical challenges.

    The journal accepts original research articles and review papers that present methodological frameworks, experimental and analytical methods, computational models, and applied studies in science, technology, and education, including interdisciplinary and applied perspectives.

    Scope includes:

    • Natural and applied sciences
    • Engineering and technology studies
    • Computational, mathematical, and data-driven methods
    • Machine learning, artificial intelligence, and information technology
    • Decision-making, optimization, and forecasting methods
    • Science and technology–based education studies
    • Legal and regulatory studies related to science and technology

    The journal provides a focused platform for methodological and applied studies in science, technology, education, and related regulatory contexts.


    Author Diversity Map