Pijar Journal of Computer Science and Information Technology (PJCIT) is a peer-reviewed scientific journal dedicated to advancing knowledge and technology in the fields of computer science and information technology. This journal is part of the Pijar Multidisciplinary Research Journal ecosystem, officially established in January 2026 and managed under the legal entity PT Pijar Cendekia Nusantara.

PJCIT serves as an open-access scientific publication platform, utilizing the Open Journal System (OJS) to ensure widespread, transparent, and easily accessible dissemination of knowledge to academics, researchers, technology practitioners, and IT policymakers worldwide.

Since its inception, Pijar has been committed to maintaining global publication quality standards through:

• The application of a Digital Object Identifier (DOI) to each published article.
• The use of internationally standardized manuscript templates.
• Regular refinements to the Author Guidelines to keep pace with the latest developments in publication ethics and technological trends.

Publication Frequency: The journal is published periodically three times a year, specifically in January, April, and September.

We welcome strategic collaboration opportunities with universities, research institutions, and professional organizations in the technology sector to jointly develop an excellent, adaptive, and innovative computer science and information technology research ecosystem.

Pijar Journal of Computer Science and Information Technology (PJCIT) invites scientists, researchers, engineers, and practitioners to submit original, previously unpublished manuscripts. The main focus of the journal is the development of theories, methodologies, system implementations, and policies within the realm of digital technology.

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

• 1. Artificial Intelligence & Machine Learning:
  Deep learning, NLP, computer vision, expert systems, and intelligent algorithms.

• 2. Software Engineering:
  Software development methodologies, architecture, testing, SQA, and Agile/DevOps practices.

• 3. Cybersecurity & Cryptography:
  Network security, digital forensics, cryptography, intrusion detection, and risk management.

• 4. Data Science & Big Data Analytics:
  Data mining, big data infrastructure, visualization, predictive modeling, and sentiment analysis.

• 5. Information Systems & IT Governance:
  Enterprise architecture, IT governance, information systems audit, e-government, and digital business.

• 6. Cloud & Distributed Computing:
  Cloud architecture, virtualization, edge computing, fog computing, and distributed systems.

• 7. Internet of Things & Embedded Systems:
  Wireless sensor networks, automation systems, smart devices, and IoT integration.

• 8. Human-Computer Interaction (HCI):
  UI/UX design, usability testing, accessibility, interaction engineering, and VR/AR.

• 9. Blockchain Technology & Mobile Computing:
  Mobile applications, blockchain architecture, smart contracts, and decentralized technologies.

• 10. Computer Networks & Telecommunications:
  Network protocols, wireless technologies, 5G/6G architecture, traffic management, and optimization.