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Dr. Remon Lapisa
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MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering
Published by Indonesian Mechanical Electrical and Industrial Research Society
ISSN : 26557215     EISSN : 26852098     DOI : -
Core Subject : Science, Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of mechanical, electrical and industrial enineering and science. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the MOTIVECTION follows the open access policy that allows the published articles freely available online without any subscription. Scope : Engineering and Applied Sciences - Mechanical - Electrical - Automotive - Industrial - Mining - etc.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 196 Documents
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Monitoring Of Household Electricity Usage Based On The Internet Of Things Fatin, Muhammad Hanif; Nasron, Nasron; Sarjana, Sarjana; Saputra, Muhammad Renaldy
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 2 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i2.460

Abstract

The increasing demand for energy efficiency in the digital era has accelerated the adoption of Internet of Things (IoT)-based technologies in household electricity management. This study presents the design and implementation of an IoT-based real-time electricity monitoring system using the ESP32 microcontroller and PZEM-004T sensor, integrated with the Blynk application for remote access. The system measures voltage, current, power, energy consumption, and cost, displaying data on both an LCD and a mobile interface. Experimental testing involved household appliances such as fans and rice cookers under individual and combined usage, with measurements taken at 15-minute intervals. The results demonstrated strong agreement between theoretical calculations and real-time data, with the measured values slightly higher due to the dynamic nature of electrical loads. The system achieved a low average error rate of 0.17%, with a maximum error of 0.30%. These findings confirm the accuracy and reliability of the system, supporting its potential for enhancing user awareness, improving billing precision, and contributing to sustainable energy use in smart home applications.
Effect of Furnace Heating Temperature on the Hardness and Corrosion Resistance of Plain Carbon Steel Sopiyan, Sopiyan; Syaripuddin, Syaripuddin; Syamsuir, Syamsuir; Ansori, Fuad; Hasbi, Muhammad Yunan; Lubi, Ahmad; Susetyo, Ferry Budhi
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.466

Abstract

Microstructure modification of the plain carbon steel usually enhances hardness and corrosion resistance. Therefore, in the present research, the microstructure of plain carbon steel is modified by heating it in an electric furnace using various temperatures and then quenching it in engine oil to enhance corrosion resistance and hardness. Several characterizations were conducted, such as microstructure, hardness, and electrochemical behavior. The microstructure evolution indicates a clear transformation of martensite morphology with decreasing austenitizing temperature. Decreasing the furnace's heating before quenching could increase the specimens' hardness and corrosion resistance, with values around 586.36 HV and 0.135 mmpy. Therefore, the optimal heat treatment condition for plain carbon steel components in marine environments was found at 800 °C based on the results of this study.
Impact of Temporary Voltage Grid Disturbance to Running Speed of Three Phase Induction Motor Ali Fathin Naufal, Haidar; Facta, Mochammad; Bagas Pradana, Byan; Budi Perkasa, Sidiq
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.476

Abstract

In the electric power system, especially the distribution system, several disturbances may occur. Voltage grid disturbance is an important power quality problem on the distribution side especially for industry with dynamics loads consisting many three phase electric motors. As the voltage grid disturbance appears, the electrical load especially an induction motor is expected to keep running on the rated speed. This motor condition is also well known as ride-through capability. In this article, the influences of temporary voltage grid disturbances are analysed to know the running speed of an induction motor based on difference in moment of inertia and give further information about the ride through capability by using PSIM simulation as an experimental tool. There are various types of voltage grid disturbance drop will be proposed. The proposed types of voltage grid disturbance to be observed are short duration sag, long duration sag, momentary swell and momentary interruption. The experiential conventional methods observed in the works are direct on line, wye-delta and autotransformer. The PSIM simulation results demonstrate that increasing the rotor moment of inertia from 0.4 to 0.8 enhances the dynamic resilience of the motor by reducing the average speed deviation by approximately 9.76% during a long-duration voltage sag. Meanwhile, the momentary interruption is identified as the most severe grid disturbance, as it leads to a complete loss of electromagnetic torque and consequently causes motor stalling. These findings highlight that the mechanical inertia of the drive system plays a critical role in maintaining motor stability during abnormal supply conditions. Finally, this article provides quantitative evidence on the combined influence of inertia and disturbance severity, offering valuable insight for the optimal design of protection schemes and motor selection criteria in industrial applications.
Low Voltage Interior Permanent Magnet Synchronous Motor (IPM PMSM) Design for Agricultural Robot Drive Baiti, Ahmad Awaluddin; Adiyasa, I Wayan; Muslikhin, Muslikhin
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.478

Abstract

The growing demand for autonomous agricultural robots requires compact, energy-efficient 12 V drives. This work designs a 12 V Interior Permanent Magnet Synchronous Motor (IPM PMSM) for field robots with targets of torque >0.8 Nm, speed >1000 rpm, and outer diameter <100 mm. Two rotor options—baselines 0° and 12° skew—were optimized and evaluated via finite-element analysis of torque, back-EMF, efficiency, and thermal behaviour. Compared with 0°, the 12° skew cut torque-ripple RMS from 0.2885 to 0.1390 Nm (−51.8%) and reduced cogging torque by >50%, while peak torque decreased only slightly (1.85 → 1.81 Nm; −2.4%). Efficiency remained high (~89%), power factor improved (0.95 → 0.964), and passive cooling kept temperatures ≤65 °C at 60 minutes. These results indicate that a 12° skew provides a practical design trade-off for low-voltage agricultural PMSMs, delivering smoother, more stable torque for precision tasks such as seeding and spraying without sacrificing overall efficiency.
Design and Experimental Evaluation of a Mid-Drive Electric Bicycle with BLDC Motor Bracket and Gearbox Integration Harijono, Agus; Pratama, Rizki Priya; Supriyanto, Nicky Suwandhy Widhi; Firdaus, Ahmad Hanif; Nurhadi, Nurhadi; Santoso, Santoso
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.484

Abstract

Electric bicycles with mid-drive systems provide better weight balance and performance, particularly on uphill terrain. However, their production cost is generally higher than hub-drive systems, limiting accessibility for wider users. This study aims to develop a cost-effective mid-drive conversion system by modifying a hub-drive e-bike using a custom steel bracket and an integrated gearbox, and to evaluate its power performance and energy efficiency. The prototype was powered by a 60V 15Ah LiFePO₄ battery and tested under laboratory and road conditions, including no-load, flat-road, and uphill tracks (5°–15° slopes). Data were collected using a tachometer, GPS, and PZEM-015 module to record speed, voltage, current, and power consumption. The motor required 659 W during acceleration from 0–10 km/h, decreased to 183 W at 19 km/h, and increased to 867 W at 39 km/h. Under a 15° incline, the e-bike maintained 15 km/h with 1120 W of power. Distance-based tests (2.08–4.07 km) showed stable energy consumption between 21–26 Wh/km, increasing proportionally with rider weight. The gearbox-assisted mid-drive conversion improved torque distribution, transmission efficiency, and energy performance, providing a practical and affordable alternative for developing efficient electric bicycles.
Bayesian Network Integration of Event Tree and SLIM-Based Human Reliability for Fire and Explosion Risk Assessment: BP-Husky Toledo Refinery Case Study Hanem, Fairuz Putra; Ramadhani, Adhitya Ryan
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.486

Abstract

The oil and gas processing industry is critical for meeting global energy demand, yet it remains vulnerable to high-consequence accidents such as fires and explosions. This study presents a probabilistic risk assessment of a vapour cloud explosion and fire case at the BP-Husky Toledo Refinery using accident investigation report data. The objective is to obtain a more comprehensive representation of accident risk by integrating the performance of physical safety barriers and human reliability within a single analytical framework. Physical escalation pathways and consequence scenarios are modelled using event tree analysis, while human error likelihood is evaluated using the success likelihood index method based on identified error modes and performance shaping factors. Both components are then integrated using a Bayesian network to quantify consequence probabilities and examine the effect of adding a human error barrier and proposed barrier improvements. The results show that the consequence distribution is dominated by near-miss outcomes (approximately 57%) with smaller probabilities for flash fire (about 14%), vapour cloud explosion (about 13%), and rupture (about 16%). Incorporating the human error barrier produces only marginal changes in these probabilities. Nevertheless, the integrated approach improves clarity in linking specific human error mechanisms and barrier performance to overall risk and supports structured evaluation of barrier improvements for accident prevention.

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