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All Journal Rekayasa Mesin Infotekmesin Journal of Energy and Electrical Engineering (JEEE) Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Jurnal Promotif Preventif Jurnal Listrik, Instrumentasi, dan Elektronika Terapan Journal of Industial Engineering and Technology Berkala Forum Studi Transportasi antar Perguruan Tinggi Jurnal Keselamatan Transportasi Jalan Journal of Renewable Energy and Smart Device
Helmi Wibowo, Helmi
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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 Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Transportation

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Pengembangan Ergonomi Kursi Belajar Berbasis Desain dan Simulasi Elemen Hingga Aravy, Mochammad Avrieza Havies; Sukoco, Leonardo Paksi; Al Bana, Nurrahim Hasan; Rosyid, Muhamad Burhanudin; Wibowo, Helmi
Jurnal Promotif Preventif Vol 8 No 6 (2025): Desember 2025: JURNAL PROMOTIF PREVENTIF
Publisher : Fakultas Kesehatan Masyarakat Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47650/jpp.v8i6.2387

Abstract

Kursi belajar yang tidak sesuai prinsip ergonomi dapat menimbulkan ketidaknyamanan dan meningkatkan risiko musculoskeletal disorders (MSDs) pada pengguna. Penelitian ini bertujuan menghasilkan desain kursi belajar ergonomis yang aman dan stabil secara struktural melalui pemodelan CAD dan simulasi Finite Element Method (FEM). Bahan penelitian meliputi data sekunder antropometri mahasiswa Indonesia usia 18-25 tahun dari Database Antropometri Nasional (n=1.500) sebagai dasar penentuan dimensi kursi, data sifat mekanik material aluminum alloy 6061-T6, serta standar ergonomi SNI 9011:2021 dan ISO 9241-5. Pemodelan geometri dilakukan menggunakan SolidWorks 2022, sedangkan analisis pembebanan statis sebesar 600 N menggunakan SolidWorks Simulation Static. Parameter evaluasi meliputi tegangan von Mises, regangan ekuivalen, deformasi total, dan faktor keamanan. Hasil simulasi menunjukkan tegangan maksimum 126,8 MPa (46% tegangan luluh) yang masih berada di bawah tegangan luluh material, regangan yang tetap berada pada rentang elastis, serta deformasi 7,77 mm yang masih dapat diterima untuk struktur kursi ringan. Nilai faktor keamanan minimum 2,17 mengindikasikan bahwa desain kursi berada dalam batas aman untuk penggunaan sehari-hari. Dari perspektif kesehatan, desain ini berpotensi mengurangi risiko MSDs melalui kesesuaian antropometri yang mempertahankan kurva lumbar alami dan fleksibilitas terkontrol yang mendukung sirkulasi darah selama aktivitas belajar berkepanjangan. Penelitian ini menyimpulkan bahwa desain kursi hasil redesign memenuhi kelayakan struktural dan berpotensi memberikan kontribusi signifikan dalam upaya pencegahan keluhan muskuloskeletal di lingkungan pendidikan tinggi.
Studi Eksperimen Penggunaan Diesel Particulat Filter Terhadap Temperatur Oli Mesin, Air Radiator, Dan Exhaust Manifold Mesin Diesel Kurniawan, Moch. Aziz; Wibowo, Helmi; Eska Fahmadi , Aat; Amin, Nasrul; Farras, Muhammad
Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Vol. 12 No. 2 (2025): JURNAL KESELAMATAN TRANSPORTASI JALAN (INDONESIAN JOURNAL OF ROAD SAFETY)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46447/ktj.v12i2.771

Abstract

The use of vehicles using diesel engines is increasing and has a direct impact on increasing exhaust emissions, especially particulate matter (PM), which is harmful to health and the environment. This study aims to analyze the installation of a honeycomb Diesel Particulate Filter (DPF) made of galvalum on exhaust emissions and engine temperature in a Mitsubishi L300 vehicle. The DPF was designed using galvalum material with a square honeycomb configuration and glasswool variations of 50, 100, and 150 grams. The test was conducted experimentally by comparing conditions without DPF and after DPF installation, including testing exhaust emissions, engine oil temperature, radiator water temperature, and exhaust manifold temperature. The installation of a diesel particulate filter (DPF) can reduce exhaust emissions by up to 37.1% at DPF 150 variations. DPF installation also relatively increases the temperature of radiator water, engine oil, and exhaust manifold in diesel engines. The largest temperature increase in exhaust manifold temperature is up to 8.02% compared to without using DPF at idle conditions. This temperature increase is caused by the honeycomb and glasswool structures that can create obstacles to the flow of exhaust gases. When the engine speed reaches 2000 rpm, there is an increase in exhaust manifold temperature of up to 15.09% compared to idle speed. This increase is due to faster engine speed so that combustion heat also increases.
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.
The Smart Battery Safety and Anti-Theft Monitoring System for Electric Bicycles with Automatic Cut-Off and Dual-Channel Notification Perdana, Andhika Putra; Tsani, Mokhammad Rifqi; Wibowo, Helmi; Widiandaru, Nanang Okta
Journal of Renewable Energy and Smart Device Vol. 3 No. 2 April 2026
Publisher : PT. Global Research Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/joresd.v3i2.685

Abstract

The rapid growth of electric bicycle usage in Indonesia has been accompanied by rising safety incidents, particularly those related to battery thermal runaway and theft. This research presents the design and implementation of an integrated monitoring and security system for electric bicycles using the ESP32 microcontroller, PZEM-017, DS18B20, and Neo-6M GPS module, combined with a web-based dashboard and Telegram bot notification. The system was developed using the Research and Development (R&D) method with a four-parameter monitoring scheme covering voltage, current, temperature, and geospatial coordinates. Experimental results from twenty data points per sensor demonstrated excellent accuracy: DS18B20 achieved an average error of 1.133%, PZEM-017 achieved 1.224% for voltage and 1.787% for current, while the Neo-6M module achieved 0.000575% and 0.000042% for latitude and longitude respectively. The automatic cut-off mechanism successfully operated in all six tested scenarios, and the Telegram-website integration delivered notifications with an average delay of two seconds. These findings confirm that the proposed system improves safety and security of electric bicycles through real-time multi-parameter monitoring and remote intervention capability. Unlike prior systems that address monitoring or security in isolation, this work is the first to unify real-time multi-parameter battery protection, automatic cut-off, geofencing, and dual-channel notification within a single low-cost ESP32-based platform tailored for urban electric bicycle users in Indonesia. The practical relevance of this integration is particularly significant given the accelerating adoption of electric bicycles as primary short-distance transportation in densely populated Indonesian cities, where charging-related fire incidents and theft cases have reached critical levels.  
Co-Authors Abdillah, Dzikri Putra Al Bana, Nurrahim Hasan Amin, Nasrul Aravy, Mochammad Avrieza Havies Ery Muthoriq, Ery Eska Fahmadi , Aat Farras, Muhammad Faza Asfarin Ajrun Adhim Febriansyah, Nuril Akbar Hardimansyah, Risky Humami, Faris I Made Suartika Khasianto, Khoirin Totok Kristiawan, Komang Andre Kurniawan, Moch. Aziz Laksana2, Tri Adi Lazuardi, Wildan Surya Marwanto, Riza Phahlevi Munawirul Khija, Muhamad Perdana, Andhika Putra Purwanyoto, Agus Budi Rosyid, Muhamad Burhanudin Sabrina Sabrina Setia Hadi Pramudi Setya Wijayanta Setya Wijayanta Siti Shofiah Srianto, Srianto Sugiyarto Sugiyarto Sukoco, Leonardo Paksi Tsani, Mokhammad Rifqi Widiandaru, Nanang Okta Yulio, Brian Adam Dwi Yusuf Ramadhan, Hafid