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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Ratnasari, Fitria Dwi
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Computer Science & IT Engineering

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Design of Antasena: an AI-powered maritime surveillance and anomaly detection system for security decision support Badrudin, Arif; Sumantri, Siswo Hadi; Gemilang Gultom, Rudy Agus; Apriyanto, I Nengah Putra; Yuhana, Umi Laili; Ratnasari, Fitria Dwi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp269-288

Abstract

Indonesia’s vast maritime territory faces serious challenges from illegal fishing, smuggling, and habitat destruction. To address these, the Indonesian Navy (TNI-AL) developed Antasena, an artificial intelligence (AI)-powered smart dashboard integrating automatic identification system (AIS) data, satellite imagery, and conservation metrics. Antasena leverages advanced anomaly detection algorithms, achieving 95.3% accuracy, 94.7% precision, 94.2% recall, and a 96.8% receiver operating characteristic-area under the curve (ROC-AUC) score in identifying vessel anomalies, including unauthorized fishing and smuggling activities. Using the analyze, design, develop, implement, and evaluate (ADDIE) framework, the system supports real-time maritime surveillance and biodiversity monitoring in conservation zones. The main contributions of this study include the development of a user-centric AI-based dashboard for maritime anomaly detection, the integration of multi-source data with machine learning models, and validation through operational field tests with maritime authorities. Antasena offers a scalable and effective solution to strengthen maritime security and protect Indonesia’s marine resources.
Co-Authors Apriyanto, I Nengah Putra Badrudin, Arif Gultom, Rudy Agus Gemilang Sumantri, Siswo Hadi Yuhana, Umi Laili