About the Journal

Journal of Computer and Data Science (JCODA)

Journal of Computer and Data Science (JCODA) is a peer-reviewed, open-access scientific journal published by Asosiasi Peneliti Informatika dan Komputer untuk Riset (PILAR). The journal serves as a platform for researchers, academics, professionals, and practitioners to disseminate original research findings, review articles, and innovative applications in the fields of computer science, information technology, and data science.

Journal of Computer and Data Science (JCODA) aims to promote the advancement of knowledge and technological innovation by publishing high-quality scholarly works that contribute to both theoretical developments and practical solutions for contemporary computing and data-driven challenges. The journal encourages interdisciplinary research and fosters collaboration among researchers from academia, industry, and government institutions.

The journal welcomes manuscripts covering a wide range of topics, including but not limited to artificial intelligence, machine learning, data science, big data analytics, data mining, software engineering, computer networks, cybersecurity, cloud computing, Internet of Things (IoT), information systems, database systems, computer vision, natural language processing, human-computer interaction, and emerging computing technologies.

Journal of Computer and Data Science (JCODA) publishes original research articles, review papers, case studies, and technical reports that demonstrate scientific rigor, novelty, and practical relevance. All submitted manuscripts undergo a rigorous double-blind peer-review process to ensure the quality, validity, and integrity of published research.

The journal is committed to the principles of open access, enabling the global dissemination of scientific knowledge and ensuring that published articles are freely accessible to readers worldwide. Through this commitment, Journal of Computer and Data Science (JCODA) seeks to support the development of computer science and data science research while fostering innovation and collaboration across disciplines and geographical boundaries.

Journal Information