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All Journal Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Jurnal Teknik Industri Terintegrasi (JUTIN)
Rohman, Muhammad Aqifur
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Implementasi IoT dan Android untuk Pemantauan dan Pemeliharaan Alat Pelindung Diri K3 di PT Paku Jaya Rohman, Muhammad Aqifur; Irawan, Denny
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47356

Abstract

The construction industry has many factors that cause work accidents, but the most highlighted is worker awareness in using Personal Protective Equipment (PPE). This study develops an Internet of Things (IoT)-based monitoring system to maintain the quality of Personal Protective Equipment (PPE) in the storage room by monitoring environmental conditions and officer activities. This system is designed to monitor room temperature, humidity, and air quality to ensure that PPE is stored in standard conditions. In addition, the system is equipped with a Radio Frequency Identification (RFID) module to record and monitor the activities of officers entering and leaving the storage room. The ESP32 microcontroller is used as a data processing center connected to various sensors and RFID modules, and functions to send data in real time to the server via a Wi-Fi network. The test results show that the system is able to monitor room temperature conditions accurately in the range of 20-250C and air humidity at 40-60% and detect officer activities effectively. Indoor dust conditions are maintained below 10 mg/m3 by utilizing a blower fan. This system is expected to support safer, more efficient, and technology-based PPE storage management. 
Desain dan Simulasi Model Predictive Control pada Sistem Pembagian Daya untuk Kendaraan Listrik Hibrida Fuel Cell – Baterai Latifah, Arini; Aditya, Kusnnuri; Mumpuni, Satrio Sarwo; Rohman, Muhammad Aqifur
Energy - Jurnal Ilmiah Ilmu-Ilmu Teknik Vol 13 No 2 (2023): Jurnal Energy Vol. 13 No. 2 November 2023
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v13i2.1736

Abstract

This research examines the performance of implementing Model Predictive Control (MPC) in the energy management system of fuel cell – battery hybrid electric vehicles. Three parameter variations were carried out on the MPC controller, namely variations in the horizon value, objective function, and weighting in the objective function. In testing variations in the horizon value of the designed MPC controller, it shows that the higher the horizon value used, the SOC and the final SOC are faster and closer to the optimal SOC determined by compensating for higher hydrogen consumption. Testing of objective function variations shows that the objective function implemented on the MPC controller influences the system response characteristics. It was found in objective function testing that optimal use of fuel cell power produces fuel cell power output with a working efficiency range of 57% - 60% when compared to other objective functions that work in the efficiency range of 49.2% - 57%. Finally, in testing variations in weighting values, it was found that the higher the weighting of an expression in the objective function, the more the optimizer will penalize the expression so that the solver will minimize the expression in the optimization process. Therefore, the MPC controller parameter values ​​need to be paid attention to so that the response characteristics are in accordance with the design. which are desired. It should be noted that this research does not use a speed prediction model so it is assumed that the speed is known without any uncertainty.
Co-Authors Aditya, Kusnnuri Denny Irawan Latifah, Arini Mumpuni, Satrio Sarwo