M FAISAL BASRI Primary Author mixed material bibliography BEKASI Universitas Satya Negara Indonesia 2025 id Indonesia

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CCTV camera systems are widely used to monitor public spaces but generally only record without producing data that can be analyzed further. In fact, accurate data is really needed to support evaluation and improvement of public services. This research aims to apply the YOLO (You Only Look Once) algorithm to build a system capable of counting the number and duration of visitors. This research was conducted at a train station using CCTV footage as input. The system detects human objects, assigns a unique ID, and records attendance time into a CSV file for further analysis. The initial training process was conducted using a private dataset, but in the final implementation, the pre-trained YOLO model was used because it provided more stable performance in real-world environments. Evaluation shows that the system works well in low-movement environments but experiences a decrease in accuracy when objects move quickly or overlap. With a minimum duration threshold of 3 seconds, the system is able to improve tracking consistency. This research proves that the computer vision approach can generate quantitative data useful in supporting data-driven decision-making in public spaces. M FAISAL BASRI Computer Vision Teknik Informatika YOLO DeepSORT Deteksi Objek Pelacakan Durasi Pengunjung Stasiun Kereta Api TI 2025 Institutional Repository USNI Universitas Satya Negara Indonesia TI 2025 8250235 Perpustakaan USNI Kampus B (SKRIPSI) TI 2025 PENERAPAN COMPUTER VISION UNTUK MENGHITUNG JUMLAH DAN DURASI PENGUNJUNG MENGGUNAKAN ALGORITMA YOLO 4288 2025-09-17 13:50:19 2025-09-18 14:26:25 machine generated