JIKA · Since 2012
Jurnal Ilmu Komputer
dan Agri-Informatika
Computer science research and its application for agricultural and agro-maritime development.
About the journal
Jurnal Ilmu Komputer dan Agri-Informatika (JIKA) is a national, open-access scientific journal managed by the Department of Computer Science, IPB University. JIKA accepts only original research articles. Review papers, policy briefs, and other types of manuscripts are not considered for publication. JIKA publishes research result in computer science and the application of informatics for agricultural and agro-maritime development, reviewed by national and international peer reviewers.
The journal is published twice a year (biannually), in May and November, and accepts submissions at any time. Starting with Volume 7 No. 1 (2020), JIKA has been accredited SINTA 3 (SK DIRJEN RISBANG KEMENRISTEK DIKTI NO:230/E/KPT/2022). All articles are published under the Creative Commons Attribution 4.0 International License.
At a glance
Focus & Scope
AI & Data Science
Machine & Deep Learning, Computer Vision, Data Mining, Bioinformatics
Remote Sensing & Geospatial
Image Processing, Spatio-Temporal Analysis, Land & Crop Monitoring
Smart Farming, IoT & Robotics
Internet of Things, Drones / UAV, Robotics & Embedded Systems
Networks, Cloud & Security
Computer Networks, Cybersecurity, Cloud & High-Performance Computing
Software Engineering
Development, Testing, Quality Assurance & Software Architecture
Information Systems & Science
MIS, E-Government, Expert & Knowledge Systems, Digital Libraries
Human–Computer Interaction
User Experience, Usability & Human Factors in Agro-Maritime Communities
Digital Agri Supply Chain
Blockchain, Digital Twin & Metaverse for Traceable, Sustainable Supply Chains
Announcements
Current Issue
Vol. 13 No. 1 (2026)
This issue spans computer vision, educational data analytics, secure communication, human–computer interaction and text mining, with applications in agriculture, education, transportation and commerce in Indonesia. It compares YOLOv11 under baseline and hyperparameter-optimized configurations for chili pest detection, and applies K-Means clustering with a Power BI dashboard to group student learning cohorts at SMPN 9 Mandau. A stream cipher-based mutual authentication scheme is proposed for low-power LoRa peer-to-peer devices, while a digital nudge redesign of online transportation apps is examined as a way to raise air pollution awareness among Indonesian youth. Two further studies apply an information retrieval system with Latent Dirichlet Allocation to map documents to the Sustainable Development Goals, and a modified ADAM optimizer to improve LSTM performance in forecasting sales of Prodigo shoes.
Author affiliations: 7 institutions in Indonesia (IPB University, Universitas Bengkulu, Universitas Gunadarma, Politeknik Negeri Jakarta, Universitas Muhammadiyah Magelang, Universitas Ibn Khaldun, and PT Bank Raya Indonesia)