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All Journal Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial
Deni Yulian
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Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Public Health

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Web Sosialisasi Deteksi Anomali Kapal Menggunakan Kecerdasan Buatan Sari Ningsih; Panca Dewi Pamungkasari; Babag Purbantoro; Asif Awaludin; Deni Yulian; Ira Diana Sholihati; Lili Dwi Yulianto; Erina Rahmazani; Muhammad Zahran Alfarizi
Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial Vol. 3 No. 1 (2026): Februari : Masyarakat Berkarya : Jurnal Pengabdian dan Perubahan Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karya.v3i1.2972

Abstract

The rapid development of Artificial Intelligence (AI) technology has opened significant opportunities to support maritime monitoring systems, particularly in detecting anomalies in ship movements that may indicate illegal or abnormal activities. However, the understanding and utilization of this technology among the general public and maritime stakeholders remain limited. This Community Service Program aims to conduct socialization and dissemination of knowledge on AI-based ship anomaly detection through the development and utilization of an interactive and informative web-based socialization platform. This activity is the result of collaboration between a team of lecturers from the Faculty of Communication and Informatics Technology (FTKI) and the National Research and Innovation Agency (BRIN). The implementation methods include the design of web-based educational content, presentation of fundamental AI concepts and ship anomaly detection, as well as visual simulations of ship movement data analysis results. The web-based socialization platform serves as an educational medium to enhance users’ understanding of the benefits, working mechanisms, and potential applications of AI technology in maritime surveillance. The results indicate an improvement in participants’ understanding of ship anomaly detection concepts and the role of artificial intelligence in supporting maritime security and safety. This PKM activity is expected to promote technological literacy, strengthen synergy between academia and research institutions, and serve as a model for practical and sustainable web-based technology socialization
Co-Authors Asif Awaludin Babag Purbantoro Erina Rahmazani Ira Diana Sholihati Lili Dwi Yulianto Muhammad Zahran Alfarizi Panca Dewi Pamungkasari Sari Ningsih