JISKA (Jurnal Informatika Sunan Kalijaga)

Aims & Scope

About the Journal Focus and Scope JISKA (Jurnal Informatika Sunan Kalijaga) is a peer-reviewed academic journal committed to publishing high-quality, original research contributions from scholars, researchers, students, and professionals in the fields of Informatics, Computer Science, and Information Technology. The journal provides a platform for disseminating innovative research findings, theoretical advancements, and practical applications that contribute to the continuous development of these disciplines. JISKA encourages interdisciplinary and multidisciplinary research that bridges theory and practice, fostering collaboration between academia and industry. The journal is particularly interested in studies that address contemporary challenges, propose novel methodologies, or introduce cutting-edge technological solutions. Manuscripts submitted to JISKA undergo a rigorous peer-review process to ensure their originality, technical quality, and scientific merit. The journal welcomes submissions on the following areas: Artificial Intelligence – Advances in machine learning, deep learning, neural networks, expert systems, reinforcement learning, and AI-driven automation. Computer Networks – Investigations into network architectures, wireless communications, IoT networks, network protocols, and performance optimization. Digital Forensics – Research on cybercrime investigation, forensic analysis techniques, incident response, data recovery, and legal considerations of digital evidence. Software Engineering – Studies focusing on software development methodologies, agile and DevOps practices, software testing, software project management, and quality assurance. Computer Security – Investigations into cybersecurity threats, ethical hacking, intrusion detection systems, cryptography, and security frameworks. Natural Language Processing (NLP) – Studies on text mining, machine translation, sentiment analysis, speech recognition, and computational linguistics. Computer Vision

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Source: OpenAlex · Each year’s green bar = citations earned by that year’s papers, counted to date — so recent years look lower simply because their papers haven’t had time to be cited yet.

Subject Classification