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All Journal NEUTRON : Research from all areas of the Civil Engineering
Rudi Dwi Arifiyanto
Narotama University
Civil Engineering, Building, Construction & Architecture Engineering Transportation

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AUTONOMOUS ELECTRIC SHIPS (AES) FOR ARCHIPELAGIC MARITIME LOGISTICS: FEASIBILITY, COLREGs COMPLIANCE, AND DECARBONIZATION SCREENING IN INDONESIA Rudi Dwi Arifiyanto; Sapto Budy Wasono; Nangkula Utaberta
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.v24i01.294

Abstract

Autonomous electric ships (AES) combine battery-electric propulsion with advanced navigation and shore-side supervision. This paper develops a source-traceable conceptual screening framework for their potential deployment on Indonesian inter-island routes. The analysis is based on the published scope of Statistics Indonesia (BPS) Sea Transportation Statistics for 2021–2024, International Maritime Organization (IMO) instruments on greenhouse gases, maritime autonomous surface ships (MASS), and collision prevention, together with peer-reviewed studies of autonomous navigation and ship electrification. A proposed four-layer architecture links battery and propulsion safety, multimodal perception and COLREGs decision support, resilient communications, and human-supervised shore services. The assessment specifies indicators needed for corridor selection and equations for future energy, well-to-wake emissions, and cost comparisons. It does not report measured AES emissions, economic payback, collision-avoidance performance, or route-specific battery sizing, because the corresponding engineering logs and test datasets were not supplied. The contribution is a transparent design and validation agenda rather than a completed technology demonstration
BLOCKCHAIN LOGISTIC SHIPS (BLS) AND SMART CONTRACTS FOR TRANSPARENT MARITIME SUPPLY CHAINS: AN EVIDENCE-AUDITED FRAMEWORK FOR INDONESIAN PORTS Rudi Dwi Arifiyanto; Adi Prawito; Derrick I-Hsien Ting
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.v24i02.303

Abstract

Indonesian maritime logistics involves multiple organizations that exchange cargo documents, vessel-call information, and trade-finance records. This article develops an evidence-audited conceptual framework for Blockchain Logistic Ships (BLS), integrating a permissioned ledger, electronic bills of lading (e-BLs), smart contracts, and vessel/port Internet-of-Things (IoT) telemetry. The analysis combines the scope of official Statistics Indonesia (BPS) Sea Transportation Statistics publications for 2021–2024 with verified peer-reviewed literature and technical/legal standards. A four-layer architecture is proposed for sensor acquisition, interoperability, blockchain validation, and document/finance applications. The published literature supports potential gains in traceability and document coordination, but identifies governance, adoption, legal-recognition, interoperability, and cybersecurity barriers. Claims of specific dwell-time reductions, anti-fraud percentages, and cost savings in the preliminary manuscript could not be substantiated with documented port experiments. Accordingly, this paper offers a reproducible evaluation protocol rather than presenting these figures as measured impacts. The resulting framework specifies source validation, event-timestamp benchmarks, ledger-performance testing, and financial sensitivity analysis as requirements for pilot deployment in Indonesian ports.
IoT-ENABLED SMART MARITIME TRANSPORTATION ARCHITECTURE FOR INDONESIA'S BLUE ECONOMY: A CAUSAL DPSIR FRAMEWORK ANALYSIS UTILIZING BPS SDLP 2023 AND OFFICIAL MARITIME DATA Rudi Dwi Arifiyanto; Koespiadi Koespiadi; Fazilat Kodirova
Neutron Vol 25 No 01 (2025): JULY 2025
Publisher : NAROTAMA UNIVERSITY, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/neutron.v25i01.309

Abstract

Indonesia's archipelagic transport and fisheries networks need interoperable monitoring and decision-support tools. This study develops a conceptual Internet of Things (IoT) architecture linked to the Drivers–Pressures–State–Impact–Response (DPSIR) framework and reviews official indicators from BPS Statistics of Marine and Coastal Resources 2023 and Indonesia's Ministry of Marine Affairs and Fisheries (KKP). BPS reports that fisheries gross domestic product at current prices rose from IDR 385.9 trillion in 2018 to IDR 505.1 trillion in 2022; fisheries exports reached approximately USD 6.24 billion in 2022. The proposed four-layer architecture joins onboard sensors and AIS/VMS, edge processing, secure network transmission, and cloud-based fleet and environmental dashboards. A DPSIR matrix connects economic drivers, environmental pressures, observed conditions, associated impacts, and policy or technology responses. Official KKP reporting puts the national marine conservation area at about 28.91 million hectares at end-2022, a broader figure than the 21.84 million hectares reproduced in the submitted manuscript. The framework is a design proposal supported by secondary statistical description: no IoT prototype, vessel-fuel trial, predictive-maintenance experiment, or quantified emissions benefit was independently validated in this study.
Co-Authors Adi Prawito Derrick I-Hsien Ting Fazilat Kodirova koespiadi koespiadi Nangkula Utaberta Sapto Budy Wasono