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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) JURNAL SISTEM INFORMASI BISNIS Journal of Telematics and Informatics Jurnal Transformatika JUITA : Jurnal Informatika Infotech Journal Al-Ihkam: Jurnal Hukum dan Pranata Sosial Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika Sistemasi: Jurnal Sistem Informasi Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara JAST Nusantara of Engineering (NOE) Jurnal Rekayasa Sistem Informasi dan Teknologi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Badieah Assegaf
Universitas Sultan Agung
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Car parking lot availability detection using the faster R-CNN method Andi Riansyah; Alif Hakim Al Faruq; Badieah Badieah
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1038-1046

Abstract

Parking demand continues to rise as private vehicle use increases, making timely information about available spaces essential for efficient parking management. Many existing monitoring approaches still rely on fixed slot sensors or visual detectors that report accuracy without examining how confidence settings affect the final availability decision. This work investigates Faster region-based convolutional network (Faster R-CNN) with a ResNet-50 backbone for image-based parking availability detection using a public parking-lot dataset annotated in Pascal visual object classes (VOC) format. The experiment evaluates several confidence thresholds to determine how each setting changes the balance among accuracy, precision, recall, and F1-score. The most balanced setting was obtained at a threshold of 0.5, where the model achieved 95% accuracy and 97.3% for precision, recall, and F1-score. These results show that threshold configuration is an important factor in reducing missed detections and false alarms, although validation using real campus CCTV data and direct comparison with lightweight detectors remain necessary before practical deployment.
Co-Authors Ahmad Jalaluddin, Ahmad Ahmad Mujib Alamsyah Alamsyah Alfiah Nurul Fatimah Intan Pertiwi Ali Selamat Alif Hakim Al Faruq Bahtiar, Thoriq Bayu Surarso Dewi Ayu Fatmawati Eko Saputra, Wardianto Fatimah, Akmalia Ghozi Fidaul Haq Ghufron Imam Much Ibnu Subroto Jenny Putri Hapsari Lanang Bagus Prakarsa Muhammad Khosyi’in Muhammad Rafli Muna Madrah Muna Yastuti Madrah Munaf Ismail Nadia Wulandari Nur Muhammad Syaifuddin Pratama, Nirmala Putri Rachmat Gernowo Riansyah, Andi Sam Farisa Chaerul Haviana Sri Arttini Dwi Prasetyawati Sri Mulyono Sri Mulyono Suharyo Herwasto Wardianto Eko Saputra