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PENGUKURAN KECEPATAN KENDARAAN BERBASIS MIKROKONTROLER GUNA MENUNJANG KESELAMATAN DALAM BERKENDARAN I Gede Indra Perdana; Helmi Wibowo; Asep Ridwan
Jurnal Penelitian 237-246
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jp.v6i4.813

Abstract

Tingkat kecelakaan di Indonesia masih tergolong sangat tinggi sampai saat ini, Berdasarkan sumber dari Kepolisian tingkat kecelakaan lalu lintas dari tahun 2018 sampai 2019 paling banyak disebabkan oleh faktor kendaraan terkait dengan pemenuhan persyaratan teknis dan laik jalan hingga mencapai 61%. Setelah dilakukan analisa untuk kendaraan yang beroperasi di jalan ternyata banyak terdapat kegagalan atau malfungsi pada skala speedometer yang terdapat di kendaraan. Metode analisis yang digunakan pada penelitian yaitu teknik analisis t-tes deskriptif. Peneltian ini juga menggunakan 3 (tiga) kendaraan sampel dengan masing-masing kendaraan di uji putaran roda dan propeller shaft dengan kecepatan konstan 10 km/jam. Berdasarkan penelitian ini diketahui bahwa Alat Uji Speedometer ini menggunakan bahan-bahan seperti infrared sensor, LCD, baterai 9 V, jumper serta mikrokontroler kemudian dikemas ke dalam bentuk akrilik yang sudah dibuat agar lebih menarik, Dari 6 percobaan yang dilakukann, didpatkan hasil bahwa alat uji pengukur kecepatan belum bekerja secara optimal kelebihan dari alat ini yaitu Bahan-bahan yang digunakan untuk pembuatan Rancang Bangun Alat Uji Speedometer ini tergolong murah serta Alat ini bisa digunakan untuk pengujian speedometer di UPT PKB dan untuk kelemahannya sendiri yaitu Sensor infrared yang digunakan pada alat uji speedometer ini sangat rentan terhadap cahaya, sehingga mempengaruhi hasil pembacaan putaran, Diameter roda maupun propeller shaft sangat berpengaruh pada hasil kecepatan serta Posisi letak penanda untuk pembacaan sensor juga mempengaruhi kecepatan yang dihasilkan.
Traffic Light Maintenance Training at The Transportation Office of Kulon Progo Regency Helmi Wibowo; Riza Pahlevi; Hanif Adhi Yudhitami; Dhi Astuti
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 3, No 2 (2022): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v3i2.116-123

Abstract

In traffic regulation, Maintenance of Traffic Light Signaling Devices (APILL) is a competency that must be possessed by every employee of the Department of Transportation, so that every APILL at road intersections is able to regulate the speed of vehicles in an orderly manner. The method used was to provide education and training to employees of the Kulonprogo Department of Transportation for 5 (five) days. To measure the level of understanding of the training participants, pre-test and post-test were conducted. The average value of pre-test and post-test was 68 and 83 with an average increase of 16%. The conclusion of the APILL Maintenance Training at the Transportation Office of Kulon Progo Regency is said to be successful as indicated by the increase of the post test scores of all training participants. This shows the training participants understand the material well.
PURWARUPA HAZARD PINTAR PADA KENDARAAN MPV Helmi Wibowo; Sabrina Sabrina; Srianto Srianto
Journal of Energy and Electrical Engineering (JEEE) Vol 4, No 2: 13 April 2023
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v4i2.6372

Abstract

The use of Hazard lights on vehicles is not in accordance with traffic rules so that it often results in accidents. Hazard lights are widely misused and often confuse the driver behind. Based on this, the study made a smart Hazard tool to minimize the number of accidents. The research method used in this study is an experimental method. This smart Hazard makes the Hazard lights turn off automatically without pressing the Hazard light switch when the right and left turn signals are turned on.  This tool can be simulated in Multi Purpose Vehicle (MPV) type vehicles with negative controllers and only requires a very small power of 0.398 Watts when the hazard lights are on and the turn signal is on so as not to make the battery consumption large and the voltage considered reasonable so as not to affect other electricity.
Development of a YOLO- and MQTT-Based Overtaking Warning System for Intelligent Driver Safety Education Muhammad Faris Haidar; Helmi Wibowo
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.269

Abstract

Purpose – This study aims to develop an intelligent overtaking warning system based on YOLOv8 object detection and Vehicle-to-Vehicle (V2V) communication using MQTT, designed as a prototype with the potential to serve as an interactive learning medium for driver safety and vehicular communication concepts. The study is motivated by the limited availability of practical educational tools for understanding overtaking processes and real-time communication in the Internet of Vehicles (IoV) context. Design – The research adopts a research and development (R&D) approach, including system design, implementation, and testing stages. The system is built using Raspberry Pi and ESP32, integrating GPS and LiDAR sensors with OCR-based recognition, and is evaluated through technical performance testing and user perception analysis using a Likert-scale questionnaire with validity and reliability testing. Findings – The results show that the system achieves an average end-to-end detection and processing delay of 0.911 seconds, while MQTT communication latency averages approximately 0.1269 seconds under controlled network conditions, with stable bidirectional communication. The YOLOv8 model performs optimally at a confidence threshold of 0.4, and the GPS and LiDAR sensors produce average error rates of 3.99% and 2.86%, respectively, while MQTT communication achieves a 100% success rate under tested conditions. Questionnaire results indicate that respondents reported positive perceptions regarding system usefulness, with most questionnaire items meeting validity criteria (r > 0.31) and a Cronbach’s Alpha of 0.952, indicating high reliability. Research Implication – These findings suggest that the system is technically feasible and demonstrates perceived educational potential as an interactive learning medium. However, this study is limited by the number of respondents and simulation-based testing; therefore, future work should include real-world traffic testing and larger-scale evaluations to improve system robustness and applicability. Originality – This study integrates YOLOv8-based object detection with MQTT-based V2V communication to develop an intelligent overtaking warning system as an interactive learning medium in IoV contexts.
Analisis dan Redesain Kursi Pengemudi Truk Pertamina Ditinjau dari Aspek Ergonomi Agung Tri Febrianto; Rifano; Helmi Wibowo; Sugiyarto
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 2 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i2.1748

Abstract

Pengemudi truk tangki PT Pertamina (Persero) menghadapi risiko gangguan muskuloskeletal akibat penggunaan kursi pengemudi yang belum sepenuhnya memenuhi prinsip ergonomi. Penelitian ini bertujuan menganalisis tingkat ergonomis kursi pengemudi truk Pertamina berbasis sasis Hino di Fuel Terminal Rewulu serta merumuskan rekomendasi redesain berbasis antropometri. Metode yang digunakan meliputi pengukuran sudut postur dengan goniometer pada 58 responden, kuesioner Nordic Body Map (NBM) dengan skala Likert, serta simulasi software Jack versi 8.4 menggunakan metode Posture Evaluation Index (PEI) yang mengintegrasikan Low Back Analysis (LBA), Ovako Working Posture Analysis System (OWAS), dan Rapid Upper Limb Assessment (RULA). Hasil menunjukkan bahwa sudut torso tidak memenuhi standar rekomendasi, nilai PEI tertinggi sebesar 2,100 dan terendah 1,408, serta keluhan muskuloskeletal terbesar terdapat pada batang tubuh dan leher. Rekomendasi redesain kursi berbasis data antropometri Perhimpunan Ergonomi Indonesia berhasil menurunkan nilai PEI hingga 1,835 pada responden dengan risiko tertinggi, membuktikan bahwa penyesuaian dimensi kursi secara ergonomis efektif meningkatkan kenyamanan dan keselamatan pengemudi.