PEMANFAATAN MODEL YOLOV8 UNTUK DETEKSI KENDARAAN RODA EMPAT DALAM PERHITUNGAN KETERSEDIAAN PARKIR DI KEMENTRIAN PENDIDIKAN DAN KEBUDAYAAN

Triandika Bayu Satria, . (2025) PEMANFAATAN MODEL YOLOV8 UNTUK DETEKSI KENDARAAN RODA EMPAT DALAM PERHITUNGAN KETERSEDIAAN PARKIR DI KEMENTRIAN PENDIDIKAN DAN KEBUDAYAAN. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.

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Abstract

The rapid growth in the number of motorized vehicles has led to the need for a more efficient and accurate parking management system. Especially in the environment of the Ministry of Education and Culture, limited parking lots and difficulties in monitoring vehicles entering and leaving in real-time are a challenge in itself, especially in cases where there is an activity or event that requires using the available parking area so that it cannot know the available capacity, this is based on interviews with parking expert sources at the location. This study aims to evaluate the utilization of the YOLOv8 model in detecting four-wheeled vehicles to automatically calculate parking availability. The methodology used includes video data collection, annotation process, YOLOv8 model training, and evaluation of detection accuracy. The results show that the model is able to detect the number of vehicles entering and leaving the parking area. Thus, the use of deep learning YOLOv8 method can be a good solution in an efficient and effective parking management system.

Item Type:	Thesis (Skripsi)
Additional Information:	[No. Panggil: 2110511117] [Pembimbing: Bayu Hananto] [Penguji 1: Neny Rosmawarni] [Penguji 2: Nurul Afifah Arifuddin]
Uncontrolled Keywords:	parking, vehicle, detection, deep learning, YOLOv8
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Fakultas Ilmu Komputer > Program Studi Informatika (S1)
Depositing User:	TRIANDIKA BAYU SATRIA
Date Deposited:	08 Sep 2025 05:15
Last Modified:	08 Sep 2025 06:12
URI:	http://repository.upnvj.ac.id/id/eprint/39363

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