DOI: https://doi.org/10.14710/kapal.v21i1.58868

The necessity of implementing AI for enhancing safety in the Indonesian passenger shipping fleet

Shinta J.A. Rahadi  -  Research Center of Hydrodynamics Technology, National Research and Innovation Agency Republic of Indonesia (BRIN), Surabaya, Indonesia 60111, Indonesia
Dimas Fajar Prasetyo  -  Research Center of Hydrodynamics Technology, National Research and Innovation Agency Republic of Indonesia (BRIN), Surabaya, Indonesia 60111, Indonesia
*Muhammad Luqman Hakim  -  Department of Naval Architecture, Faculty of Engineering, Universitas Diponegoro, Semarang, Indonesia 50275, Indonesia
Dian Purnama Sari  -  Research Center of Hydrodynamics Technology, National Research and Innovation Agency Republic of Indonesia (BRIN), Surabaya, Indonesia 60111, Indonesia
Putri Virliani  -  Research Center of Hydrodynamics Technology, National Research and Innovation Agency Republic of Indonesia (BRIN), Surabaya, Indonesia 60111, Indonesia
Cakra W.K. Rahadi  -  Department of Naval Architecture, Ocean & Marine Engineering, Faculty of Engineering, University of Strathclyde, Glasgow, United Kingdom, United Kingdom
Rina Rina  -  Research Center of Hydrodynamics Technology, National Research and Innovation Agency Republic of Indonesia (BRIN), Surabaya, Indonesia 60111, Indonesia
R. D. Yulfani  -  Research Center of Hydrodynamics Technology, National Research and Innovation Agency Republic of Indonesia (BRIN), Surabaya, Indonesia 60111, Indonesia
Luthfansyah Mohammad  -  Automation Engineering Technology Study Program, Vocational School, Universitas Diponegoro, Semarang, Indonesia 50275, Indonesia
Diva Kurnianingtyas  -  Department of Informatics Engineering, Faculty of Computer Science, Universitas Brawijaya, Malang, Indonesia 65145, Indonesia
Received: 13 Oct 2023; Revised: 27 Nov 2023; Accepted: 28 Nov 2023; Published: 29 Feb 2024.
Open Access Copyright (c) 2022 Kapal: Jurnal Ilmu Pengetahuan dan Teknologi Kelautan
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
The shipping industry, grappling with escalating challenges, increasingly adopts Artificial Intelligence (AI) to enhance efficiency, safety, and environmental impact. Experts endorse ship automation and AI implementation for safety, navigation, and operational efficiency in ferry networks. This paper underscores AIS technology's role in maritime safety and environmental protection, emphasizing AI's potential in navigation and knowledge gap bridging. Indonesia, with its numerous islands and significant population, faces complex challenges in ensuring safe maritime transportation. Collaborative efforts among the government, industry, and stakeholders are vital for enhancing safety standards across the archipelago. Despite regulations, Indonesia contends with a high ferry accident rate, prompting the need for preventive measures. The study reviews AI's application in preventing sea accidents, recognizing its contributions and potential effectiveness in maritime safety. Acknowledging challenges like data quality and cybersecurity, the paper emphasizes the necessity of AI development for passenger ship safety. It concludes by highlighting significant research efforts, endorsing AI's promising role in reshaping the industry for improved efficiency and safety. Further exploration of AI applications, particularly in passenger ship safety, is recommended to meet evolving challenges in the maritime sector.
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Keywords: Artificial Intelligence; Passenger Ship; Maritime Safety; Risk Mitigation
Funding: RISPRO-LPDP Ministry of Finance of the Republic of Indonesia for sponsoring this research under the Research and Innovation for Advanced Indonesia (RIIM) batch 3 initiative with contract number B-839/II.7.5/FR.06/5/2023

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Section: Review Articles
Language : EN
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