The Adoption of Artificial Intelligence (AI) in the Maritime Industry: Opportunities, Challenges, and Its Implications for Operational Efficiency
Keywords:
Artificial Intelligence, Operational Efficiency, Maritime Industry, Navigation, Digital TransformationAbstract
This paper discusses the adoption of Artificial Intelligence (AI) in Indonesia's maritime industry, focusing on port operational efficiency. Using literature review and case analysis approaches, the study identifies port business processes, key stakeholders, and digital systems such as INAPORTNET, CEISA, TOS, VMS, Auto Gate, and STID. The readiness of AI adoption at Tanjung Priok Port is assessed based on indicators including technological infrastructure, operational automation, system integration, human resource competence, operational efficiency, and environmental impact. Findings indicate that while digitalization initiatives are ongoing, AI implementation remains at an early stage. Opportunities lie in productivity, safety, and sustainability improvements, while key challenges include digital infrastructure limitations, system integration issues, regulatory gaps, and human resource constraints. The paper concludes that a phased and collaborative strategy among the government, port operators, and industry players is essential to accelerate AI-driven digital transformation in the maritime sector.
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