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All Journal Expensive: Jurnal Akuntansi dan Keuangan
Puji Astuti, Fitria Dewi
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Decision Sciences, Operations Research & Management Social Sciences

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Sistem Pengembangan Deteksi Kamera Berbasis Artificial Intelligence (AI) dalam Toko Ritel Puji Astuti, Fitria Dewi; Nusantoro, Jawoto; Febri Darmayanti, Elmira
Expensive: Jurnal Akuntansi dan Keuangan Vol. 4 No. 1 (2025): Januari
Publisher : Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/exclusive.v4i1.8384

Abstract

This research was carried out with the aim of introducing an artificial intelligence-based camera detection system to increase the optimization of retail store inventory. By utilizing computer vision recognition technology to manage and increase inventory efficiency. In this research, the Yolo v5 model will be used. You Only Look Once (Yolo), while the type of data used is secondary data obtained from dataset collection sites, namely Kaggle and Roboflow. The results of this research create the latest solutions to help retail stores adapt to increasingly fierce competition and provide better service to customers. The research concludes that real-time stock monitoring provides store management with instant information about product availability, enabling quick decision making and more effective responses
Co-Authors Febri Darmayanti, Elmira Jawoto Nusantoro