Journal of Intelligent Computing and Applied Informatics (JICAI)

Journal of Intelligent Computing and Applied Informatics (JICAI) is a peer-reviewed, open-access international journal that publishes original research articles, review papers, and short communications in intelligent computing and applied informatics. JICAI connects computational intelligence theory with real-world practice, and welcomes work that has clear practical deployment and societal impact.

The journal serves researchers, academics, and practitioners who build and apply intelligent systems. Interdisciplinary contributions are encouraged.

Journal at a glance

• Frequency2 issues/year (June, December)
• Peer reviewDouble-blind, min. 2 reviewers
• AccessOpen access, CC BY-NC-SA 4.0
• LanguageEnglish
• Citation styleIEEE
• EthicsCOPE guidelines; similarity ≤ 20%
• e-ISSNOn process
• PublisherLP3M Universitas Nurul Jadid

Topics covered

• Artificial intelligence and machine learning, including deep learning, NLP, generative AI, and explainable AI
• Computer vision and image processing
• On-device and edge intelligence, including model compression, quantization, and TensorFlow Lite deployment
• Data science and knowledge discovery
• Software engineering and information systems, including cybersecurity, cloud computing, and human-computer interaction
• Applied informatics for agriculture, health, education, IoT, and digital transformation

Authors are invited to read the Author Guidelines and submit through this website.

The inaugural issue of JICAI features five peer-reviewed articles on applied intelligent computing. Topics span web and mobile systems, image classification with lightweight deep learning, and information security.