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All Journal Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Jurnal Listrik, Instrumentasi, dan Elektronika Terapan
Marwanto, Riza Phahlevi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering

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Ergonomic Analysis and Redesign of Bus Handgrips Using Rapid Upper Limb Assessment (RULA) and Posture Evaluation Index (PEI) Dewi, Veronika Chintia; Rifano, Rifano; Gunawan, Gunawan; Marwanto, Riza Phahlevi
JTI: Jurnal Teknik Industri Vol 12, No 1 (2026): Juni 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39493

Abstract

This study aims to analyze and improve the ergonomic performance of bus handgrips on Metro Jabar Trans using an integrated approach combining Rapid Upper Limb Assessment (RULA) and Posture Evaluation Index (PEI). The research employed a quantitative method involving 30 respondents, with data collected through observation, interviews, joint angle measurements, and anthropometric analysis. A virtual simulation was developed using Jack 8.4 software to evaluate ergonomic conditions based on RULA, Lower Back Analysis (LBA), and Ovako Working Posture Analysis System (OWAS), which were then integrated into the PEI metric. The results indicate that the existing handgrip design produces RULA scores predominantly at levels 5–6, reflecting moderate ergonomic risk, with PEI values ranging from 1.358 to 1.875, indicating suboptimal conditions. A redesigned handgrip was developed by optimizing key dimensions, including width, diameter, and finger clearance, based on anthropometric data. Simulation results demonstrate a consistent reduction in ergonomic risk, with PEI values decreasing to a range of 0.925 to 1.221. The reduction in PEI values, ranging from 0.233 to 0.903, confirms improved postural conditions and reduced risk of musculoskeletal disorders. These findings highlight that integrating posture assessment and quantitative ergonomic indices can effectively support the development of safer and more comfortable public transportation facilities.
Real-Time IoT-Enabled Multi-Modal Warning System for Preventing Vehicular Brake Fade Accidents Yulio, Brian Adam Dwi; Marwanto, Riza Phahlevi; Shofiah, Siti; Humami, Faris; Muthoriq, Ery; Wibowo, Helmi
Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Vol 7, No 1 (2026)
Publisher : Departemen Teknik Elektro dan Informatika Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/juliet.v7i1.109520

Abstract

Brake fade due to excessive heat remains a leading cause of vehicular accidents, particularly among heavy-duty and public transportation vehicles. This issue is exacerbated by the limitations of conventional brake monitoring systems that lack real-time response capabilities. To address this challenge, this study develops a Smart Brake Thermal Management system based on Internet of Things (IoT) technology, designed to detect and deliver multi-modal alerts in response to potential brake overheating. The system integrates precision thermocouple sensors, an ESP32 microcontroller, an OLED display, and cloud-based notifications via Telegram. Using a Research and Development (R&D) methodology, the system was validated through six controlled road tests under standardized conditions. Results indicate high temperature measurement accuracy at 98.07% and 98.62% for dual sensor configurations, with system response times of less than two seconds. The warning mechanism effectively delivered synchronized notifications via visual indicators, audible alerts, and instant messaging. This system demonstrated a strong ability to identify the risk of brake fade before critical failure occurred, enhancing vehicular safety significantly. Its modular design and cost-effective implementation also make it suitable for large-scale retrofitting in existing vehicle fleets. The primary contributions of this research include the integration of multi-modal warning systems, real-time thermal monitoring through cloud connectivity, and a predictive approach to brake temperature management that improves proactive safety interventions.
Co-Authors Dewi, Veronika Chintia Ery Muthoriq, Ery Gunawan Gunawan Helmi Wibowo, Helmi Humami, Faris Rifano, Rifano Siti Shofiah Yulio, Brian Adam Dwi