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All Journal Indonesian Journal of Geography KAPAL Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Jurnal Kelautan : Indonesian Journal of Marine Science and Technology ROTOR: JURNAL ILMIAH TEKNIK MESIN J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Abdi Insani International Journal of Marine Engineering Innovation and Research Journal of Marine-Earth Science and Technology JPMP
Sugianto, Erik
Department Of Marine Engineering Universitas Hang Tuah, Surabaya, Indonesia
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Modeling Shipping Route Optimization Based On Seasonal Ocean Current Variability Using The Ant Colony Algorithm Brachmantiyo Rachman Pratama; Erik Sugianto; Supartono Supartono; Stevanus Fransiscus Sahusilawahe
Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan Vol 23, No 2 (2026): June
Publisher : Department of Naval Architecture - Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/kapal.v23i2.82341

Abstract

Indonesia possesses dense and strategic shipping lanes, where seasonal ocean currents in the Java Sea frequently impact vessel transit times. On palm-oil shipping routes from Kumai to various ports in Java, route efficiency is paramount as fuel constitutes the largest operational expense. Due to the variability of ocean currents, conventional routes are not always the most efficient choice. This study utilizes 2024 ocean-current data from the Copernicus Marine Service alongside the technical specifications of the MT Nusaniwe to calculate effective speed, travel time, and fuel consumption. The Ant Colony Optimization (ACO) algorithm is applied to evaluate alternative route combinations under varying seasonal current conditions. The methodology encompasses current analysis, effective-speed formulation, fuel-consumption modeling, and route-optimization simulations for both the northwest and southeast monsoon seasons. Previous literature has not integrated ACO with seasonal oceanographic data for route optimization, which defines the research gap addressed herein. The results demonstrate that ACO-based routes integrated with oceanographic data outperform conventional routes, achieving significant reductions in transit time and fuel consumption. Consequently, this model proves that leveraging seasonal currents can enhance vessel operational efficiency and support data-driven voyage planning.
Co-Authors Aditya, Bagus Kusuma Agustin, Ttiek Indra Akhmad Basuki Widodo Ali Azhar Arif Winarno Arifianto, M Fajar Azhar, Suryadhi Bintoro, Rudi Siap Brachmantiyo Rachman Pratama Dewantara, Belly Yan Dian Mulawarmanti, Dian Dwisetiono, Dwisetiono Felayati, Frengki Mohammad Frengki Mohamad Felayati Hadi Prasutiyon Hadi Prasutiyon Hadi, Agung Pangestu Hasan, Ahmad Darori Hendika Puji Haditama Horng Chen, Jeng Kisnarti, Engki Andri Muhammad Khasroni Hamsah Mu’ninim, Amirul Mu’ninim Nilam Sari Octaviani Nuhman, Nuhman Nurul Rosana, Nurul Permadi, Niki Veranda Agil Permatasari, Ima Nurmalia Prasutiyon, Hadi Prasutiyon, Hadi Prasutiyon, Hadi Prayogi, Urip Rahayu Dwi Hentanti Ningrum, Pramita Ratna Indriyani Sakti, Gedhe Angkoso Nur Sofa Santosa, Benaya Prasetya Semin Semin Sofijanto, M. Arief Stevanus Fransiscus Sahusilawahe Subagio, Hari Sunjaya, Muchlas Adi Supartono Supartono Suryadhi, Suryadhi Sutrisno, Sutrisno Sutrisno, Sutrisno Syaifuddin, Muhammad Rizal Tambun, Robert Taufiqurrohman Taufiqurrohman Titiek Indhira Agustin Toto Soeharmono Urip Prayogi Viv Djanat Prasita Wicaksana Shakti, M. Duta Widagdo, Supriyatno Widianto, Sinung Widodo, A. Basuki Winarno, Arif Yan, Belly Yan Zamzami, Rifqi Akmal