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All Journal NEUTRON : Research from all areas of the Civil Engineering
Sajjad Ali Mangi
Shaheed Zulfiqar Ali Bhutto
Civil Engineering, Building, Construction & Architecture Engineering Transportation

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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.
SMART IoT CONTAINER TRACKING AND PREDICTIVE LOGISTICS FOR ARCHIPELAGIC MARITIME TRANSPORTATION: AN EVIDENCE-BASED SYSTEM DESIGN FOR INDONESIA Aji Ilham Atthoriq; Sapto Budy Wasono; 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.v24i02.305

Abstract

Tracking containers over archipelagic sea routes requires reliable condition sensing, low-power communication, and interoperability between ships and ports. This paper revises a proposed four-layer Smart Internet of Things (IoT) container tracking architecture for Indonesian maritime logistics using traceable peer-reviewed research, official Statistics Indonesia (BPS) publication records, and International Maritime Organization (IMO) digital reporting requirements. The architecture integrates container sensors, hybrid terrestrial/satellite connectivity, edge-based anomaly detection, and a logistics application interface. We formulate a dimensionally consistent battery-energy model and propose measurable field-validation protocols for telemetry delivery, cold-chain excursion detection, port dwell time, and system reliability. Existing studies support the technical relevance of multi-radio devices and satellite-linked container networks; however, the source manuscript provides no authenticated vessel telemetry, intervention logs, or port-level before-and-after datasets. Consequently, previously stated savings and performance percentages are not reported as empirical findings. This work contributes an auditable engineering design and evaluation framework rather than an unverified effectiveness claim.
Co-Authors Aji Ilham Atthoriq Arianto Achmad Awaludin Ronny Durrotun Nasihien, Ronny Durrotun Sapto Budy Wasono