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All Journal Piston: Journal of Technical Engineering Malcom: Indonesian Journal of Machine Learning and Computer Science
Winesti, Feby Ayu
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Development of Regulatory Recommendations for City Bus Bumper Bars through Design and Analysis Based on Standard 67 Pa. Code § 171.44 Sukoco, Leonardo Paksi; Aravy, Mochammad Avrieza Havies; Banna, Nurrahim Hasan Al; Winesti, Feby Ayu
Piston: Journal of Technical Engineering Vol. 9 No. 2 (2026)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v9i2.56539

Abstract

Indonesia currently does not have specific technical regulations governing the design of urban bus bumper bars, unlike passenger vehicles, which are regulated by national and international standards. Data from the Indonesian National Police Traffic Corps in 2022 recorded 3,847 bus-related accidents resulting in 587 fatalities, with 42 percent occurring in urban areas at speeds ranging from 30 to 50 km/h. This study aims to develop regulatory recommendations for urban bus bumper bars by adapting the standard 67 Pa. Code §171.44 to Indonesian operational conditions. The research methodology includes field observations of 10 Trans Jogja buses, bumper bar design using a combination of 6061-T6 aluminum alloy and elastomer materials, and structural performance analysis through impact simulations based on the Explicit Dynamics finite element method using ANSYS software. The simulation results show that the proposed bumper bar design satisfies safety requirements, with maximum stress values of 260 MPa at 30 km/h and 293 MPa at 50 km/h. Although the stress at 50 km/h exceeds the material yield strength of 280 MPa, the response indicates localized plastic deformation without global structural failure. Controlled deformation of 163.04 mm at 30 km/h and 275.78 mm at 50 km/h, following a localized progressive deformation pattern without excessive intrusion, along with an energy absorption capacity of at least 5 kJ, demonstrates effective passenger protection. The resulting regulatory recommendations include dimensional specifications (height 400–600 mm, width ≥2000 mm), material requirements (yield strength ≥250 MPa), and performance criteria to support the revision of Minister of Transportation Regulation No. 33 of 2018.
Inovasi Sistem Manajemen Rambu Lalu Lintas Real-Time Berbasis Internet of Things: Evaluasi Kinerja Berdasarkan Waktu Respons Transmisi Data dan Deteksi Lokasi GPS: Innovation of a Real-Time Internet of Things-Based Traffic Sign Management System: Performance Evaluation Based on Data Transmission Response Time and GPS Location Detection Pratindy, Raka; Utami, Unggul; Winesti, Feby Ayu; Illiyun, Bani; Diaz, Ryandi Syahputra; Syamil, Zain Ad Dienusy
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 4 (2026): MALCOM October 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i4.2814

Abstract

Keselamatan lalu lintas tetap menjadi isu kritis pada wilayah dengan keterbatasan rambu jalan statis yang dapat meningkatkan kebingungan pengemudi dan risiko kecelakaan. Penelitian ini bertujuan merancang Sistem Rambu Lalu Lintas Otomatis berbasis Internet of Things (IoT) untuk menyampaikan informasi lalu lintas secara real-time dan adaptif. Sistem dikembangkan menggunakan Raspberry Pi 3B+ sebagai pengendali utama yang terintegrasi dengan LED dot matrix, Firebase, Google Maps API, dan aplikasi Android. Penelitian menggunakan metode Research and Development (R&D) yang meliputi analisis, perancangan, perakitan perangkat keras, pemrograman, dan pengujian sistem. Hasil evaluasi menunjukkan rata-rata waktu respons transmisi data sebesar 5,8 detik dan waktu deteksi lokasi GPS sebesar 11,6 detik. Sistem mampu menampilkan informasi batas kecepatan dan rambu arah secara akurat dalam radius deteksi 10–30 meter. Temuan tersebut menunjukkan bahwa sistem berbasis IoT layak secara teknis untuk mendukung manajemen rambu yang fleksibel, adaptif, dan responsif terhadap kondisi jalan. Kebaruan penelitian terletak pada integrasi Raspberry Pi 3B+, LED dot matrix, Firebase, Google Maps API, dan aplikasi Android dalam sistem rambu adaptif berbasis geofencing. Pengujian pada lima titik koordinat juga menunjukkan kinerja sistem yang konsisten serta berpotensi dikembangkan melalui integrasi sensor lalu lintas dan kecerdasan buatan
Co-Authors Aravy, Mochammad Avrieza Havies Banna, Nurrahim Hasan Al Diaz, Ryandi Syahputra Illiyun, Bani Pratindy, Raka Sukoco, Leonardo Paksi Syamil, Zain Ad Dienusy Utami, Unggul