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All Journal Jurnal Penamas Adi Buana JURNAL TIARSIE Almana : Jurnal Manajemen dan Bisnis SAINTEK: Jurnal ilmiah Sains dan Teknologi Industri Jurnal Ilmiah Teknik Industri Indonesian Journal of Electrical Engineering and Computer Science REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Transportasi Multimoda International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) Metris: Jurnal Sains dan Teknologi Jurnal Pengabdian Tri Bhakti
Leni Herdiani
Teknik Industri Universitas Langlangbuana Bandung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Transportation

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A microservice-oriented machine learning framework for cold chain management in perishable fish logistics Jamaludin, Maun; Ginanjar, Arief; Herdiani, Leni; Ramadhan, Toto; Alif Naufal, Muhammad; Ismet Rohimat, R.
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 3: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i3.pp1070-1081

Abstract

This study proposes a microservice-oriented machine learning framework to enhance intelligence and scalability in perishable fish cold chain logistics. Unlike conventional monitoring-centric systems, the framework integrates edge–cloud computing with multimodal machine learning models, including random forest for anomaly detection, long short-term memory (LSTM) for spoilage risk prediction, and convolutional neural network (CNN) for visual fish quality classification. The research adopts a design science approach combining literature analysis, field observations at cold storage facilities in Indramayu, Indonesia, and simulation-based validation. Experimental results demonstrate the feasibility of distributed analytics, modular deployment, and real-time inference within heterogeneous logistics environments. The proposed framework provides a deployable architectural reference for intelligent fisheries cold chain management and supports future large-scale, multi-stakeholder implementation.
Co-Authors Adiputra, Ryana Abdillah Agung Dera Pradana Ahmad Munandar Ali Djamhuri Alif Naufal, Muhammad Cui, Zhenyu Enjang Suherman Fajar Firmansyah Gani, Muhammad Ghina Novita Sakinah Ghina Novita Sakinah Ginanjar, Arief Hennie Husniah Iman Sudirman Ismet Rohimat Ismet Rohimat, R. Jamaludin, Maun Ketut Abimanyu Munastha Komarudin, Udin Milarantika, Dhila Muliastuti Anggrahini Neni Sumarni Nur'aeni, Silvi Fitrian Sri Nurwathi, Nurwathi R. Ismet Ruhimat Ramadina, Amalia Rd Roro Dian Rahayu Rico Syafarudin Riska Noviastuty Rizki Kustiawan Rizkinita, Melinda Aprilia Rohmana Rohmana Rohmana Sihombing, Eka Silitonga, Roland Y. H. Suroso Suroso Sustariyah, Sri Suwandi, Florence Syaputra, Gusti Dhio Toto Ramadhan Udin Komarudin Widjajani, W