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All Journal Martabe : Jurnal Pengabdian Kepada Masyarakat JURNAL PENDIDIKAN TAMBUSAI MDP Student Conference
Putra, Ronaldo
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Social Sciences

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Journal : MDP Student Conference

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Perangkat Lunak Pengenalan Jenis Roti Pada Toko Roti Dengan Menggunakan Model Deteksi Objek Yolov8 Putra, Ronaldo; Yoannita, Yoannita
MDP Student Conference Vol 3 No 1 (2024): The 3rd MDP Student Conference 2024
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v3i1.7625

Abstract

Bakery shop is a business entity in the Food & Beverage sector that sells various types of sweet bread. The diversity of bread types poses a challenge for cashiers in recognizing one type of bread from another, leading to input errors in the cashier's computer. This research explores the use of YOLOv8 object detection to effectively identify different bread types. The dataset consists of 507 samples, including 164 Sosis Keju Brs, 157 Kulit Nangka Coklat, 103 Flosy Chicken, 75 Pizza Mini, and 80 Pizza Brs, trained over 100 epochs, resulting in a mean average precision (mAP) of 0.92%. The detection model performs well in recognizing bread types; however, it has some limitations, particularly when the bread is separated and not stacked on top of each other. A cashier software based on computer vision is also developed to assist cashiers in conducting transactions without the need for individual input.
Co-Authors Akbar, Aulya Guspita, Ega Harahap, Erni Febrina Ira Meirina Chair Novalia, Gusniza Wijaya, Romy Chandra Yoannita, Yoannita Yulianti, Srifany