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All Journal NEUTRON : Research from all areas of the Civil Engineering
Ni'matul Fahdiyah
Narotama University
Civil Engineering, Building, Construction & Architecture Engineering Transportation

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INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SUSTAINABLE MARITIME TRANSPORTATION IN OPTIMIZING INDONESIA’S BLUE ECONOMY: A DPSIR FRAMEWORK ANALYSIS BASED ON BPS SDLP 2023 OFFICIAL DATA Ni'matul Fahdiyah; Koespiadi Koespiadi; Zailani Abdullah
Neutron Vol 24 No 01 (2024): JULY 2024
Publisher : NAROTAMA UNIVERSITY, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/neutron.v24i01.296

Abstract

This paper examines how artificial intelligence (AI) could be integrated with sustainable maritime transportation and fisheries governance to support Indonesia’s blue economy. It develops a conceptual extension of the Drivers–Pressures–State–Impact–Response (DPSIR) framework using secondary statistics in Indonesia’s official Statistics of Marine and Coastal Resources 2023 (BPS SDLP 2023) and traceable maritime, environmental and policy literature. Reported fishery gross domestic product at current prices grew from IDR 385.9 trillion in 2018 to IDR 505.1 trillion in 2022, while 2022 fishery exports reached 1,224,060 tonnes and US$6.242 billion [1]. The 2022 marine capture fleet comprised 893,258 craft, of which 100,109 were non-powered and 429,113 were outboard-motor boats [1]. An AI-enabled architecture is proposed for vessel monitoring, satellite-image analysis, route decision support and conservation surveillance. These functions are mapped to DPSIR response mechanisms, but have not been experimentally implemented or validated in this study. The findings therefore concern documented sector conditions and a research-informed integration framework, not demonstrated AI-derived fuel savings or environmental impacts.
TECHNO-ECONOMIC EVALUATION AND LIFECYCLE DECARBONIZATION PATHWAYS OF GREEN LOGISTIC SHIPS IN INDONESIAN ARCHIPELAGIC MARITIME FREIGHT NETWORKS: A SCENARIO-BASED ASSESSMENT Ni'matul Fahdiyah; Muhammad Ikhsan Setiawan; Ramadhansyah Putra Jaya
Neutron Vol 24 No 02 (2025): JANUARY 2025
Publisher : NAROTAMA UNIVERSITY, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/neutron.v24i02.299

Abstract

Decarbonizing maritime freight in Indonesia requires the joint assessment of ship propulsion, energy storage, wind assistance, and port electrification. This study develops a transparent scenario-based appraisal of a proposed 3,000-DWT-class hybrid green logistic ship for an illustrative Surabaya–Banjarmasin feeder service. The concept combines an LNG/diesel powertrain, 1,200-kWh battery energy storage, a Flettner rotor, and a 1-MW onshore power interface. The analytical framework follows IMO guidance for the Energy Efficiency Operational Indicator (EEOI), separate well-to-wake accounting, and discounted cash-flow analysis; national port statistics provide contextual evidence but cannot establish vessel-level fuel use or cash flows. A numerical consistency check of assumptions reported in the submitted manuscript—USD 1.85 million additional investment and USD 412,000 constant annual net savings over 15 years at 7.5%—produces a scenario NPV of USD 1.787 million, an internal rate of return of 21.0%, and discounted payback of approximately 5.69 years. These are conditional calculations, not observed commercial outcomes. The proposed 38.6% fuel saving and 82.3% life-cycle abatement cannot be validated without measured duty cycles, verified component performance, and fuel/electricity emission factors. The principal contribution is therefore an auditable assessment protocol and an explicit data-validation agenda for Indonesian short-sea freight electrification.
Co-Authors koespiadi koespiadi Muhammad Ikhsan Setiawan Ramadhansyah Putra Jaya Zailani Abdullah