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Irhamna, Reza
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PERFORMANCE OF COMPUTER VISION METHOD FOR OVER-HEIGHT VEHICLE DETECTION Twk Mohd Iqbal; Ilahi, Ridha; Munandar, Munandar; Irhamna, Reza
International Conference on Education, Science, Technology and Health (ICONESTH) 2024: The 2nd ICONESTH
Publisher : International Conference on Education, Science, Technology and Health (ICONESTH)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46244/iconesth.vi.480

Abstract

Prevention of accidents for over-height vehicles that will pass through tunnels or underpasses is very necessary. This prevention is done by providing an early warning to over-height vehicles. Early warning is carried out using a system that is able to detect oversized vehicles from the tunnel or underpass height allowed to be passed. This system must have high accuracy and be resistant to various environmental conditions. Interference in detection can occur due to rain, wind, lack of light, night time, various backgrounds such as walls, trees, and two-way roads. This research examines the durability of computer vision-based over-height vehicle detection methods against environmental condition influences. The methods used are Gaussian Mixture Model (GMM) and blob detection. Samples were taken in 3 different location conditions and detected in 5 frame variations. The results of this research show that GMM and blob detection is excellent performance and resilience against environmental conditions. This method can detect over-height vehicles with an accuracy reaching 100% with the number of frames at 5 and 7. It is expected that this detection method can provide more accurate early warnings for over-height vehicles, thereby increasing road user safety.
Design and Development of an RFID-Based Student Attendance System Using Student ID Cards as Identification Media and Local Mysql Recording Irhamna, Reza; Lili Kasmini; Khairuman
Jurnal Inotera Vol. 11 No. 1 (2026): January-June 2026
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol11.Iss1.2026.ID620

Abstract

This study aims to design and develop an RFID-based attendance system as a solution to the problems of conventional attendance systems, such as time inefficiency, cheating, and data loss. The system uses student ID cards (KTM) as an identification medium, is integrated with the ESP32 microcontroller and RC522 RFID reader, and is connected to a MySQL database through a website. The methodology used is research and development (R&D) with a prototype approach that includes requirement analysis, system design, implementation, and testing. Test results show that the system can read RFID cards accurately within an average time of 0.1 seconds and store attendance data in real time. System validation by experts using Aiken’s V method obtained an index value of 0.982, indicating a very valid system. User testing involving 15 students resulted in an average score of 4.85 out of 5, indicating that the system is very feasible and easy to use. This RFID-based attendance system is expected to improve efficiency and transparency in student attendance management.
Co-Authors Ilahi, Ridha Khairuman Munandar Munandar Twk Mohd Iqbal