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All Journal NEUTRON : Research from all areas of the Civil Engineering
Mohd Haziman Wan Ibrahim
Universiti Tun Hussein Onn
Civil Engineering, Building, Construction & Architecture Engineering Transportation

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FEASIBILITY AND DECARBONIZATION POTENTIAL OF BATTERY-ELECTRIC FERRIES IN INDONESIAN ARCHIPELAGIC SHORT-SEA TRANSPORT Betty Riyantini; Adi Prawito; Mohd Haziman Wan Ibrahim
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.v24i01.297

Abstract

Battery-electric ferries offer a potential route to lower emissions on predictable, short-sea services, but their feasibility depends on vessel power requirements, charging time, electricity carbon intensity and capital costs. This paper develops a preliminary sizing and emissions-comparison framework for Indonesian inter-island corridors. Port-statistics publications from Statistics Indonesia for 2021–2024 are identified as the proposed secondary-data sources, while the route and technology figures provided in the authors’ draft are treated as provisional model inputs pending verification against primary tables and engineering records. The analysis separates propulsion and auxiliary loads, usable battery energy, shore-charging constraints and electricity-related emissions. Illustrative comparisons show the direction of the potential decarbonization benefit when the electricity supply becomes less carbon-intensive. Because vessel duty-cycle data, source-table extracts, battery quotations and detailed capital-cost inputs were not supplied, the current calculations cannot establish a verified fleet-level reduction rate or project payback period. The framework therefore supports subsequent corridor-specific feasibility studies rather than a final investment decision.
ARTIFICIAL INTELLIGENCE FOR MARITIME SAFETY AND ENVIRONMENTAL SURVEILLANCE IN INDONESIA: AN OFFICIAL-STATISTICS BASELINE Ifan Widayatullah; Muhammad Ikhsan Setiawan; Mohd Haziman Wan Ibrahim
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.v24i01.298

Abstract

Maritime safety and environmental surveillance in Indonesia depend on the reliability of official data supporting artificial intelligence (AI). This study establishes an official-statistics baseline using BPS-Statistics Indonesia’s Marine and Coastal Resources Statistics 2023. It examines fishing-vessel fleets for 2021–2022 (34 provinces; 1,004,060 and 893,258 vessels), 118 classified fishing ports, 41 recorded oil-spill incidents (1999–2023), port-water monitoring at 27 sites and fisheries patrol records. Methods include concentration indices, k-means clustering with silhouette selection, principal component analysis, modified z-scores and Isolation Forest screening. In 2022, 88.8% of the recorded fleet was motorised; provincial distribution showed a Gini coefficient of 0.41. Three fleet typologies were identified: outboard-dominated, inboard-dominated and non-motorised-heavy. Ten of 94 provincial vessel-type changes were flagged as statistical outliers, while 10 of 27 water-monitoring sites reported none of three core parameters. In 2021, there was approximately one recorded inspection per 385 fishing vessels. These descriptive findings inform candidate AIS trajectory analytics, SAR oil-spill detection, optical satellite monitoring and smart-port planning. The study proposes a phased, data-first roadmap; it does not estimate the performance of operational AI systems in Indonesian waters.
Co-Authors Adi Prawito Betty Riyantini Ifan Widayatullah Muhammad Ikhsan Setiawan