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Design of Antasena: an AI-powered maritime surveillance and anomaly detection system for security decision support

IAES International Journal of Artificial Intelligence · Vol. 15 No. 1 (2026) · hlm. 269–288

DOI
10.11591/ijai.v15.i1.pp269-288
ISSN
2252-8938, 2089-4872
Terbit
2026-02-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

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.

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  • Institut Teknologi Sepuluh Nopember
  • Indonesia Defense University
  • Universitas Airlangga
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  • Organisasi berbeda
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
I Gusti Lanang Agung Oka Cahyadi PradiptaAfiliasi tidak diketahui1
Ahmad SaikhuInstitut Teknologi Sepuluh Nopember1
Diana PurwitasariInstitut Teknologi Sepuluh Nopember1
Daniel SiahaanInstitut Teknologi Sepuluh Nopember1
Dian SaputraAfiliasi tidak diketahui1
Esti YuniarAfiliasi tidak diketahui1
Joko Lianto BulialiInstitut Teknologi Sepuluh Nopember1
Dwi SunaryonoInstitut Teknologi Sepuluh Nopember1
Hazna At ThooriqohInstitut Teknologi Sepuluh Nopember1
Tiara Nur AnnisaInstitut Teknologi Sepuluh Nopember1
Eka Alifia KusnantiInstitut Teknologi Sepuluh Nopember1
Lauretha Devi Fajar VantieInstitut Teknologi Sepuluh Nopember1
Ary Mazharuddin ShiddiqiInstitut Teknologi Sepuluh Nopember1
Muhammad Faisal FananiInstitut Teknologi Sepuluh Nopember1
Amelia Devi Putri AriyantoInstitut Teknologi Sepuluh Nopember1
Lutfiyatul †̃AzizahInstitut Teknologi Sepuluh Nopember1
Wahyu Fajar SetiawanAfiliasi tidak diketahui1
Ilham Putra AriatamaAfiliasi tidak diketahui1
Muhammad AlfianAfiliasi tidak diketahui1
Afif AmirullahInstitut Teknologi Sepuluh Nopember1
Muhammad AlfianInstitut Teknologi Sepuluh Nopember1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Design of Antasena: an AI-powered maritime surveillance and  anomaly detection system for security decision support</dc:title>
	<dc:creator>Badrudin, Arif</dc:creator>
	<dc:creator>Sumantri, Siswo Hadi</dc:creator>
	<dc:creator>Gemilang Gultom, Rudy Agus</dc:creator>
	<dc:creator>Apriyanto, I Nengah Putra</dc:creator>
	<dc:creator>Yuhana, Umi Laili</dc:creator>
	<dc:creator>Ratnasari, Fitria Dwi</dc:creator>
	<dc:subject xml:lang="en-US"></dc:subject>
	<dc:subject xml:lang="en-US">Anomaly detection system; Antasena; Artificial intelligence; Powered maritime surveillance; Security decision support</dc:subject>
	<dc:description xml:lang="en-US">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.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US"></dc:contributor>
	<dc:date>2026-02-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/27721</dc:identifier>
	<dc:identifier>10.11591/ijai.v15.i1.pp269-288</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 15, No 1: February 2026; 269-288</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v15.i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/27721/14936</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2026 Arif Badrudin, Siswo Hadi Sumantri, Rudy Agus Gemilang Gultom, I Nengah Putra Apriyanto,  Umi Laili Yuhana, Fitria Dwi Ratnasari</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>