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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi JURNAL SISTEM INFORMASI BISNIS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Informasi Interaktif DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Teknik Ilmu dan Aplikasi
Shoumi, Milyun Ni’ma
Politeknik Negeri Malang
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Journal : Lontar Komputer: Jurnal Ilmiah Teknologi Informasi

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Vacant Car Parks Detection Using Digital Image Processing Methods Milyun Ni'ma Shoumi; Ridwan Rismanto; Arie Rachmad Syulistyo
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 13 No 1 (2022): Vol. 13, No. 1 April 2022
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2022.v13.i01.p02

Abstract

Long car queues are often encountered in some public facilities because visitors should be around to find an empty parking space. One way to minimize this case is to use a parking information system that shows the location of the parking lot that is empty or occupied with their amounts. This research presented two digital image processing methods for detecting empty space occupied in the image of the car parking area. There are vehicle detection and edge detection method. Vehicle detection is the method used to detect objects in the image by subtracting the parking area image, an empty parking lot, from the image containing the car. In contrast, the edge detection method detects the object's edge. The results from these two methods were then compared using the AND function to obtain the condition of an empty or occupied box for each box in the parking lot. Threshold values affect the determination of the parking lot. In this research, the data used are images of open car parks in the Malang Town Square (Matos) shopping center, Mall Olympic Garden (MOG), and data sourced from journals with similar topics [16]. The test results show that the best detection results are obtained in detecting occupied parking spaces in the parking lot in Malang Town Square (Matos), with a threshold of 10 and an accuracy of 99.4% with a threshold of 10.
Co-Authors Affandi, Luqman Annisa Puspa Kirana Arie Rachmad Syulistyo Banni Satria Andoko Batubulan, Kadek Suarjuna Budiprasetyo, Gunawan Dwi Puspitasari Joni Dwi Pribadi Nurtjahjani, Fullchis Pramana Yoga Saputra Radian Malek Rayrendra Ratsanjani, Muhammad Hasyim Ridwan Rismanto Rifqie Muhammad rokhimatul wakhidah Sofyan Noor Arief Suryani, Dhebys Wakhidah, Rokhimatul