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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal MEKANIKAL Jurnal SPEKTRUM MEKTRIK OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Dinamika Teknik Mesin : Jurnal Keilmuan dan Terapan Teknik Mesin Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Logic : Jurnal Rancang Bangun dan Teknologi Jurnal Abdi Insani Journal of Energy and Electrical Engineering (JEEE) Jurnal Keselamatan Transportasi Jalan (Indonesian Journal of Road Safety) Interdisciplinary Social Studies Journal of Social Research Logic : Jurnal Rancang Bangun Dan Teknologi Jurnal Karya Pengabdian Teknik Mesin Energy, Materials and Product design Jurnal Pendidikan Indonesia (Japendi) Innovative: Journal Of Social Science Research Jurnal Wicara Desa Jurnal Media Publikasi Terapan Transportasi Jurnal Keselamatan Transportasi Jalan Jurnal Penelitian Transportasi Darat
I Made Suartika
Universitas Mataram
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Portable system for real-time traffic volume and speed estimation using YOLOv10 Sradha Nanda, Ida Bagus; Yugihartiman, Masrono; Primadi Hendri, Eko; Suartika, I Made
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp300-309

Abstract

Accurate traffic data is essential for effective transportation planning and policymaking. However, in many regions, especially those lacking intelligent infrastructure, data collection remains dependent on manual methods that are labor-intensive, time-consuming, and susceptible to human error. While advanced systems such as closed-circuit television (CCTV) and area traffic control systems (ATCS) offer automation, their high cost and infrastructure requirements limit widespread adoption. This study proposes a portable, low-cost, and real-time traffic monitoring system based on the YOLOv10 object detection algorithm. The system operates using only a smartphone-grade camera (1080 p, 60 fps) and a standard laptop, eliminating the need for expensive installations. It detects, classifies, and counts vehicles as they pass through a predefined region of interest (ROI), and also estimates their speed based on time–distance measurements. Field evaluations using five one-hour urban traffic videos showed excellent agreement with manual counts, achieving a mean absolute percentage error (MAPE) of just 0.30%. Speed estimation trials conducted on sample clips also demonstrated consistent and plausible results. These findings highlight the system’s potential as a scalable and accurate alternative for traffic monitoring in infrastructure-limited environments.
Investigating the relationship between work incidents and musculoskeletal disorders in motorcycle technician workshops: a cross-sectional analysis Kurnia, Fikrihadi; Suartika, I Made
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 3 November 2025 In Press
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i3.150

Abstract

Workplace hazards and incidents pose significant risks in the automotive industry, necessitating meticulous risk assessment and management. This cross-sectional study was designed to examine the prevalence of work-related injuries and musculoskeletal disorders (MSDs) among motorcycle technicians in workshops situated within Lombok Island, West Nusa Tenggara, Indonesia. A sample of 105 male participants was recruited for the study. Findings revealed that the majority of workers were aged between 20-30 years (67.6%), possessed vocational high school education (61%), were married (55.2%), had 1-10 years of work experience (83.8%), were smokers (58.1%), and abstained from alcohol consumption (83.8%). Workplace incidents predominantly comprised minor injuries (93.3%), with the hands being the most frequently affected body part (65.5%). Additionally, lower back MSDs were prevalent (74.3%) and significantly correlated with workplace incidents. The study concludes that upper extremities were the most commonly affected body part in both incidents and MSDs. These findings emphasize the value of prioritizing workplace safety and implementing preventative strategies to mitigate MSDs in motorcycle workshops, ultimately fostering worker well-being and enhancing workshop productivity.
Co-Authors A.A. Alit Triadi, A.A. Alit Abdillah, Dzikri Putra Abdurrazak Abdurrazak Achmad Djunaedi Achmad Zainuri Adjie, Muhammad Luthfi AGUS PURWANTO Ahmad Basuki Ahmad Maryudi Ahmad Zainuri Aini, Niza Husnul Aini, Zahratul Apriani , Nurul Aulia Aprilia, Dwi Ayu Awwalin, Muhamad Zainul Fajri Azkia, Tina Imro’atun Bambang Syairuddin Bambang Syairuddin Darwin, Muhadjir M. dewa ketut, okariawan Dewi, Denisa Kartika Fahrurrozi Fira Dwika Aprentari Rayes, Fira Dwika Gawahi, Fransiskus Risky Gilang Ade Putra Hafiz, Lalu Muhamad Fajri Helmi Wibowo, Helmi Hurnah, Hurnah I G.A.K. Chatur Adi W.A. I G.N.K. Yudhyadi, I G.N.K. I Gede Bawa Susana I Gede Dyana Arjana, I Gede I Kade Wiratama I Kade Wiratama, I Kade I Made Adi Sayoga, I Made Adi I Made Mara I Made Nuarsa, I Made I Nyoman Budiastra I Nyoman Nugraha Ardana Putra I Nyoman Setiawan I Wayan Joniarta I Wayan Sukerayasa I.D.K. Okariawan Ida Bagus Alit IDK Okariawan, IDK IGN Adi Tanaya, IGN Adi IGNK Yudhyadi Istiqamah, Juhratul Janardana, I Gusti Ngurah Kahfi, Ahmad Sohibul Kornelius Jepriadi Krisna Mahendra, Made Kurnia, Fikrihadi M. Fajar, M. M. Yugi Hartiman Made Wijana Made Wijana Made Wijana, Made Muhamad Irham, Muhamad Muhamad Sudrajadinata Nida, Holizatun Novansyah, Rizky Nugraha, I Komang Krisna Bayu Nur Kaliwantoro Nurul Indriani Okariawan, I Dewa Ketut Pandri Pandiatmi Patdono Suwignjo Pramudi, Setia Hadi Primadi Hendri, Eko Putra, Ardi Wijaya Putra, Digma Yuda Kusuma Rahmat, Solihin Ramadhan, Galang Baruna Rizki Hidayatullah Rohil, Lalu M. Sahram sari, Herlina permata Sihombing, Jupael Sradha Nanda, Ida Bagus Sukmawaty Sukmawaty, Sukmawaty Suraharta, I Made Syahrul Syahrul Syahrul Tri Rachmanto, Tri tri, trirachmanto Triadi, Anak Agung Alit Utami, Nadia Fitri Utami, Wiwin Wahyu Fitra, Wahyu Wawan Saputra Yodita, Zahrawana Putri Yoga, Ida Bagus Savitar Dharma Yudhyadi, I Gusti Ngurah Ketut Yunistriana , Lintang