Article Per Year (5 Year)
p-Index From 2021 - 2026
1.686
P-Index
This Author published in this journals
All Journal Jurnal Perkeretaapian Indonesia (Indonesian Railway Journal) Jurnal Teknik Industri Terintegrasi (JUTIN) Computer Science (CO-SCIENCE) Madiun Spoor : Jurnal Pengabdian Masyarakat Formosa Journal of Sustainable Research (FJSR) Journal of Railway Transportation and Technology Innovative: Journal Of Social Science Research Berkala Forum Studi Transportasi antar Perguruan Tinggi
Winjaya, Fathurrozi
Unknown Affiliation
Humanities 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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Wayside Wifi-Repeater as a Railway Operation Facility for Optimizing Traffic Density Detection Cameras at Level Crossings Wibowo, Agustinus Prasetyo Edy; Feryando, Dara Aulia; Winjaya, Fathurrozi
Formosa Journal of Sustainable Research Vol. 3 No. 8 (2024): August 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjsr.v3i8.11044

Abstract

Wireless technology uses repeater mode as a medium for sending data to railway operation facility equipment and railway crossing density detection cameras. To cover a 225-meter track, three access points are needed, one as a server and two as repeaters. Testing includes coverage area with signal strength (RSSI), jitter, access point transfer, and data transmission. The test results show that the railway crossing area can be covered by a wireless repeater with an RSSI of 53.103 dBi. The jitter of the two access points, namely 28.65ms and 32.54ms, is included in the good category. When the access point is moved, there is an average packet loss of 2.6%. Data transmission at four points of the crossing track has a delay/latency of 38.49ms at point one, 66.03ms at point two, 45.33ms at point three, and 39.18ms at point four
Performance Evaluation of YOLOv8 for Railway Switching Operation Safety Monitoring Selendra, Aulya Anggita Putri; Arifianto, Teguh; Winjaya, Fathurrozi
Computer Science (CO-SCIENCE) Vol. 6 No. 1 (2026): January 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/co-science.v6i1.11674

Abstract

Safety in railway shunting operations requires continuous monitoring of train distance and speed to reduce the risk of operational accidents. In practice, shunting activities are still highly dependent on manual observation and verbal communication, while the performance of vision based safety systems under real operational conditions remains uncertain. In addition, comprehensive performance evaluations of deep learning based object detection models in real shunting environments, particularly under different hardware capabilities and lighting conditions, are still limited. This study aims to evaluate the performance of the YOLOv8 algorithm for real-time distance and speed monitoring during railway shunting operations. The system was tested using a camera-based detection approach under different processor configurations, namely an internal CPU and an RTX GPU, and under morning, daytime, and nighttime lighting conditions. System performance was evaluated based on accuracy, precision, and real-time detection capability across these conditions. The results show that the system achieved an average accuracy of 87.32% when operating on a CPU which increased to 91.30% when using a GPU. Optimal performance was observed under adequate daylight conditions, while reduced lighting led to a decline in performance, particularly on CPU-based processing. These findings indicate that hardware configuration and lighting conditions play a critical role in determining the reliability of YOLOv8-based safety monitoring systems for railway shunting operations.
Co-Authors Al Ghifari, Sultan Rasya Nair Arief Darmawan Damayanti, Ajeng Tyas Diah, Mariana Feryando, Dara Aulia Iswanto, Ary Putra Malaiholo, David Nurul Fitria Apriliani Oktaria, Dhina Setyo Puspitasari, Mariana Diah Rafsanjani, Mifzam Fahmi Riyanta, Wawan Saian Nur Fajri, Saian Nur Selendra, Aulya Anggita Putri Syafitri, Wasis Desti Cindy TEGUH ARIFIANTO, TEGUH Wibowo, Agustinus Prasetyo Edy