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SMART IoT CONTAINER TRACKING FOR ARCHIPELAGIC MARITIME LOGISTICS: TELEMATICS ARCHITECTURE AND COLD-CHAIN TRACEABILITY Arianto Achmad Awaludin; Ronny Durrotun Nasihien; Sajjad Ali Mangi
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.v24i02.304

Abstract

The Indonesian archipelagic maritime supply chain requires reliable information on container position, seal status and refrigerated-cargo conditions despite intermittent offshore connectivity. This article develops an evidence-grounded reference architecture for Smart Internet of Things (IoT) container tracking, combining published Indonesian sea-transport statistics with peer-reviewed work on multi-radio devices, satellite networks, cold-chain sensing and smart ports. A four-layer design is specified for on-container sensing, coastal and satellite backhaul, edge analytics, and terminal or carrier integration. An explicitly illustrative power-budget calculation shows why battery endurance depends strongly on the frequency and energy of satellite messages; it is not a field-test result. A seven-year discounted-cash-flow sensitivity example likewise separates financial assumptions from observed savings. The review supports the technical plausibility of hybrid monitoring, but does not establish claims of reduced spoilage, port dwell time or carbon intensity in Indonesian operations without primary measurements. A reproducible validation protocol is provided for future trials.