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INDONESIA
Mechatronics, Electrical Power, and Vehicular Technology
Published by Lembaga Ilmu Pengetahuan Indonesia
ISSN : 20873379     EISSN : 20886985     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Mechatronics, Electrical Power, and Vehicular Technology (hence MEV) is a journal aims to be a leading peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on mechatronics, electrical power, and vehicular technology as well as related topics. All papers are peer-reviewed by at least two referees. MEV is published and imprinted by Research Center for Electrical Power and Mechatronics - Indonesian Institute of Sciences and managed to be issued twice in every volume. For every edition, the online edition is published earlier than the print edition.
Arjuna Subject : -
Articles 17 Documents
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Search results for , issue "Vol 16, No 2 (2025)" : 17 Documents clear
An evaluation of stereo vision for distance estimation using the SGBM algorithm in the CARLA simulator Sakti, Rizky Hamdani; Venica, Liptia; Putri, Dewi Indriati Hadi; Kosmaga, Shinta Rohmatika; Rijanto, Estiko
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1284

Abstract

This paper presents an evaluation of stereo vision based on the semi-global block matching (SGBM) algorithm for distance estimation in an autonomous parking scenario using the CARLA simulator. Distance-disparity regression functions are explored to enhance distance estimation accuracy. The proposed distance estimation model was evaluated using the design science research methodology (DSRM) framework, with experimental validation conducted in CARLA’s promenade environment. The evaluation employed root mean square error (RMSE) and relative error metrics to assess performance. Experiments were performed within a range of 40-350 cm, which is relevant for autonomous parking applications. The experimental results show that the algorithm achieves an overall RMSE of 1.69 cm and an average relative error of 1.1 %. The findings contribute to the advancement of perception systems for autonomous vehicles, particularly in challenging environments.
Preface MEV Vol 16 Iss 2 Pikra, Ghalya
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1398

Abstract

Novel design of a simple control system for hybrid electric motorcycle Utama, Didi Widya; Utama, Hadian Satria; Wardy, Reno
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1077

Abstract

A hybrid system combines two or more propulsion systems, typically including electric motors and internal combustion engines. In this research, the motorcycle uses a 5.67 kW/8000 rpm gasoline internal combustion engine and a 1 kW/48 V DC brushless electric motor, both coupled to an in-wheel electric motor. The control system was designed to automatically manage two propulsion systems based on the rotation speeds of an internal combustion engine and an electric motor, along with readings from current and voltage sensors. It uses two ATmega16-based microcontrollers, a master and a slave, and is monitored via Bluetooth using an Android smartphone. An experimental setup was conducted to effectively operate the system, utilizing the motorcycle in three modes: engine mode, electric motor mode, and hybrid mode, which demonstrated successful functionality through automatic propulsion displacement.
Low-cost 3D-printed adaptive suspension system for mobile robots using DMP-based real-time stabilization Rijal, Sumit Babu; Chaulagain, Prasiddha; Kandel, Suman; Saru, Tul Bahadur; Pariyar, Srijana; Bajgain, Yubraj; Giri, Kiran
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1315

Abstract

This paper presents a low-cost adaptive suspension system designed to stabilize a mobile robotic platform operating on uneven terrain. Unlike many existing low-cost servo-based suspension approaches that depend on software-intensive filtering, threshold logic, or extensive tuning, the proposed system adopts a simplified control strategy using hardware-level sensor fusion from the digital motion processor (DMP) of an MPU6050 IMU combined with direct angle-to-actuation mapping. The mechanical design is based on a four-bar linkage suspension architecture actuated by servo motors and controlled using an ESP32 microcontroller, enabling real-time compensation of pitch and roll disturbances. Developed as a proof-of-concept platform with modular 3D-printed components, the system emphasizes accessibility, ease of fabrication, and reduced control complexity. Experimental evaluation under controlled, quasi-static conditions demonstrates effective chassis stabilization with limited angular deviation and consistently lower noise compared to a Kalman filter-based implementation, particularly during post-calibration operation. By balancing mechanical simplicity and additive manufacturing with reliable orientation feedback, the proposed design provides an accessible framework for teaching laboratories, low-budget research, and early-stage adaptive suspension development in resource-constrained environments.
Sector-based midpoint LEACH enhancement for improved energy efficiency and network lifetime Hari, Nirwana Haidar; Al Rasyid, M. Udin Harun
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1140

Abstract

This study proposes a sector-based, midpoint-driven enhancement of the low-energy adaptive clustering hierarchy (LEACH) protocol to address energy imbalance and inconsistent cluster head (CH) placement in wireless sensor networks (WSNs). Conventional LEACH and its variants often rely on random CH selection and produce uneven cluster geometries, accelerating node depletion and shortening network lifetime. The proposed method divides the network into four sectors and applies a midpoint-guided CH selection mechanism that prioritizes nodes near the geometric center of each sector, thereby shortening intra-cluster communication distances and balancing energy consumption. The protocol is evaluated through Python-based simulation using 100 randomly deployed nodes in a 200×200 m² monitoring area and is compared with several widely used LEACH-based protocols under identical radio and traffic parameters. Key performance metrics include first node death (FND), half nodes death (HND), all nodes death (AND), residual energy, and throughput. Simulation results show lifetime gains of roughly 30–40 % across standard lifetime metrics relative to the original LEACH, while maintaining higher residual energy and stable throughput. These findings highlight the suitability of the protocol for long-duration IoT and smart monitoring applications where energy efficiency is critical.
Appendix MEV Vol 16 Iss 2 Pikra, Ghalya
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1399

Abstract

Performance study of corncob-fueled updraft gasification with integrated solar power plant as a supporting energy source for the reactor Pido, Rifaldo; Humena, Steven; Abdullah, Fadhil
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1312

Abstract

The increasing demand for energy and the depletion of fossil fuel reserves have accelerated the development of renewable energy sources, with biomass emerging as one of the most promising candidates. Corncobs, an abundant agricultural residue with considerable energy content, represent a viable feedstock for gasification processes. This study evaluates the performance of a corncob-fueled updraft gasifier integrated with a photovoltaic (PV) solar power system as an auxiliary energy source for reactor operation. Experimental tests were conducted to assess flame characteristics, syngas composition, thermal efficiency, and overall energy potential. The influence of air flow rate (AFR) on temperature profiles across the drying, pyrolysis, oxidation, and reduction zones was systematically analyzed. The findings show that low AFR enhances heat accumulation but restricts oxygen supply, whereas excessively high AFR produces cooling effects that reduce thermal efficiency. Optimal operating conditions were achieved at intermediate AFR values (11.5–13.4 m/s), yielding stable heat distribution and high-quality syngas dominated by CO, H₂, and CH₄. Under these conditions, the system demonstrated promising thermal efficiency for small-scale applications. The 600 WP. PV system effectively supplied power to operate the blower, pump, and instrumentation, supporting operational autonomy and reducing reliance on external electricity sources. Overall, the integration of corncob gasification and solar energy offers a sustainable, environmentally friendly, and technically feasible hybrid energy solution, while promoting the utilization of agricultural waste and reducing dependence on fossil fuels in rural areas.

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