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All Journal ELKHA : Jurnal Teknik Elektro PROtek : Jurnal Ilmiah Teknik Elektro Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Prosiding Seminar Nasional Pakar DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Riset Teknologi Pencegahan Pencemaran Industri AJAD : Jurnal Pengabdian kepada Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Komposit : Jurnal Pengabdian Dan Pemberdayaan Masyarakat Economic: Journal Economic and Business TANJAK : Jurnal Pengabdian Kepada Masyarakat
Custer, Johny
Politeknik Negeri Bengkalis
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : journal of embedded systems security and intelligent systems

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IoT–DSS-Based Fleet Management System for Enhancing the Operational Efficiency of Fishing Vessels Romadhoni Roma; Budhi Santoso; Johny Custer; M. Nur Faizi; Mohamed Nasir Alivi; Abdul Razak Shaari
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2615

Abstract

Purpose - This study aims to develop an IoT–Decision Support System (DSS)-based Smart Fleet Management System (SFMS) to improve the operational efficiency of small- to medium-scale fishing vessels through real-time monitoring and data-driven decision-making. Design/methods/approach – The proposed system integrates IoT sensors (GPS, fuel flow, temperature) with an ESP32 microcontroller for real-time data acquisition and transmission via MQTT to a cloud platform. A hybrid DSS combining linear regression and fuzzy logic is developed to analyze vessel performance and generate operational recommendations. Field validation was conducted on three fishing vessels, with 1,200 telemetry samples for regression modeling, 300 decision samples for DSS evaluation, and 4,320 data packets for communication analysis. Findings - The implementation of SFMS resulted in significant improvements in operational performance. Fuel consumption decreased by 20.0% (from 50.7 L/h to 40.6 L/h), idle operational time was reduced by 28.9% (from 3.8 to 2.7 hours/day), and the Operational Efficiency Index (OEI) improved by 22.7% (from 0.110 to 0.135 kn/L). The DSS achieved an accuracy of 92.7% in decision recommendations, while system reliability reached 99.2% uptime with low latency and acceptable packet loss (1.48%). Research implications/limitations – Although effective, the study is limited by a small number of vessels and the lack of synchronized environmental data, suggesting the need for broader validation. Originality/value – This study presents a cost-effective and scalable IoT–DSS framework tailored for small-scale fisheries, supporting sustainable operations and maritime digital transformation.
IoT-Based Smart Energy Management System for Air-Conditioning Energy Efficiency in Mosques Syaiful Amri; Rahmat Fajrul; Johny Custer; Murdani; Azizul
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 1 (2026): March 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2604

Abstract

Purpose – This study aims to develop and evaluate an Internet of Things (IoT)-based Smart Energy Management System (SEMS) to improve air-conditioning energy efficiency in mosque buildings. Design/methods/approach – The proposed system utilizes an infrared (IR) transmitter to replicate native air-conditioner remote signals, allowing implementation without modifying existing electrical installations. The system was implemented and tested at Taj-Al’ulum Mosque, Politeknik Negeri Bengkalis, under four operating modes: Default Manual, IoT Manual, Automatic, and Hybrid. Performance evaluation was conducted by comparing energy consumption across these modes and validating results through simulation and field testing. Findings – The results indicate that the Automatic mode achieved the highest energy savings, reducing energy consumption by 23.7% compared to the baseline, while also demonstrating the most stable operational performance. The Hybrid and IoT Manual modes also contributed to energy savings, although their effectiveness was influenced by user intervention and variations in mosque activities. Model validation showed strong agreement between simulation and real-world implementation, confirming system reliability. Research implications/limitations – This study is limited to a single case study location and focuses primarily on air-conditioning systems. Future research could expand to multiple buildings, integrate additional energy loads such as lighting and audio systems, and explore long-term performance under varying environmental and occupancy conditions. Originality/value – This study offers a practical, non-invasive, and replicable IoT-based energy management solution for mosque buildings, contributing to the development of smart energy management systems for smart mosques, particularly in environments with intermittent occupancy patterns.
Co-Authors Abdul Razak Shaari Adam Adam Adam Adam Agus Tedyyana, Agus Akmal Indra Andri Nofiar Am Andri Nofiar. Am Andri Nofiar. Am Anggita, Anggita Anggy Trisnadoli Azizul B, Hardi Dea Fitriana Elvi Rahmi Faisal Ananda Faizi, M Nur Fajar Ratnawati Hardiyanto Hardiyanto Hikmatul Amri Larbiel Hadi Lianda, Jefri Lianda, Jefri Lukman Hakim Nasution M Idham M Idham M. Alkadri Perdana Milla Marlina Assegaf Mohamed Nasir Alivi Mohammad Alkadri Perdana Muhammad Arman Muhammad Rusdi dan Afritha Amelia - Murdani Nurul Fahmi Rahmat Fajrul Romadhoni Santoso, Budhi Siti Rahayu Siti Rohani Syaiful Amri Wahyu Triyono Zahendra, Fitra Zaidi Bin Othman