Focus and Scope

KOMPUTER: Knowledge of Modern Processing, Utilization, and Technology for Engineering Research is an international, peer-reviewed journal dedicated to publishing original and high-quality research articles in the fields of computer science, information technology, and computer engineering. The journal emphasizes theoretical foundations, methodological innovations, and applied research that advance modern computing technologies and engineering practices.

The journal welcomes contributions that demonstrate scientific novelty, technical rigor, and practical relevance. Review articles and case studies are considered when they provide significant scholarly insight.

Journal Scope

  1. Data Science and Big Data Analytics

    • Data mining, machine learning, and advanced analytics

    • Big data architectures, data engineering, and scalable systems

    • Knowledge discovery and decision support systems

    • Information retrieval and semantic technologies

  2. Computer Networks and Communication Systems

    • Wireless and mobile networks, sensor networks

    • Network protocols, performance evaluation, and optimization

    • Software-Defined Networking (SDN) and Network Function Virtualization (NFV)

    • Next-generation networks (5G/6G) and emerging communication technologies

  3. Software Engineering and Intelligent Systems

    • Software architecture, modeling, and design patterns

    • Agile development, DevOps, and continuous integration

    • Software testing, verification, validation, and quality assurance

    • Intelligent and adaptive software systems

  4. Information Systems and Applied Computing

    • Enterprise and decision support systems

    • E-government, e-commerce, and e-health systems

    • Human–Computer Interaction (HCI) and User Experience (UX)

    • Applied intelligent systems in multidisciplinary domains

  5. Computing Systems, Architecture, and High-Performance Computing

    • Computer architecture and processor systems

    • Distributed, parallel, and high performance computing

    • Cloud, edge, and fog computing

    • Embedded systems and Internet of Things (IoT)

  6. Computer Engineering and Hardware–Software Integration

    • Microprocessor and CPU architecture

    • Hardware software co design and system integration

    • Digital systems and embedded platforms

    • Performance optimization and system reliability

  7. Programming, Algorithms, and Visual Computing

    • Programming languages and paradigms

    • Algorithms and data structures

    • Computer graphics, visualization, and image processing

    • Interactive systems and graphical user interfaces