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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia
I Nengah Putra Apriyanto
Indonesia Defense University
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Social Sciences

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STUDI LITERATUR: PERFORMA MODEL KAPAL BENTUK MONOHULL, KATAMARAN DAN TRIMARAN Josua Siagian; I Nengah Putra Apriyanto; Kaharuddin Djenod
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 2 No. 3 (2022): CITIZEN: Jurnal Ilmiah Multidisiplin Indonesia
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v2i3.102

Abstract

Along development of technology from time to time, makes the shipping sector have experienced development. This made the Indonesian geverment place the maritime sector into a priority program in national development. The development of ships occur from various scopes, this things takes the development of ships in terms of the number of hulls such as single hull (monohull), double hull (catamaran), and with three hulls (trimaran). This research uses a literature method that will analyze the results of previous research related to the ship’s performance. The purpose of this research to determine the best performance between ships with monohull, catamaran and also trimaran forms. The results of this research are expected to be a basic reference for selecting the ship’s hull to be fabricated in the future, whether in terms of tourism, military, etc. the results of this research indicate in terms of stability ships with trimaran hulls have good stability among others. This is because trimaran ships have a larger surface area than monohull and catamaran. With the ratio of the width and height of the ship makes the catamaran have good stability. In terms of resistance, catamaran ships have the smallest resistance than others, but this influenced by the demihull distance factor which makes the waves formed from each hull not collide with each other. In terms of seakeeping, the catamaran is the best in case of heaving, rolling and pitching conditions from all heading angles.
Design of Antasena: an AI-powered maritime surveillance and anomaly detection system for security decision support Arif Badrudin; Siswo Hadi Sumantri; Rudy Agus Gemilang Gultom; I Nengah Putra Apriyanto; Umi Laili Yuhana; Fitria Dwi Ratnasari
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 Arif Badrudin Fitria Dwi Ratnasari Josua Siagian Kaharuddin Djenod Rudy Agus Gemilang Gultom Siswo Hadi Sumantri Umi Laili Yuhana