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All Journal Jurnal Humaniora Teknologi Jurnal Humaniora Teknologi Instal : Jurnal Komputer Technologica
Karima, Cahya
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Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Instal : Jurnal Komputer

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Spare Part Detection and Counting System using YOLOv8 Prasetyo, Ariansyah Aryo; Wibowo, Dwi Agung; Rizki, Afian Syafaadi; Karima, Cahya; Permatasari, Nindy
Bahasa Indonesia Vol 17 No 06 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i06.405

Abstract

This research aims to create a spare part detection and counting system to assist employees in calculating stock quantities. The system utilizes artificial intelligence (AI) and computer vision with the YOLOv8 algorithm. The research was conducted at PT Rezki Batulicin Transport Site Sebamban, a company specializing in land transportation services, particularly for coal mining products. The company is located in Tanah Bumbu Regency, South Kalimantan. The spare part detection and counting system has been successfully implemented. Evaluation results show an F1-score reaching a maximum value of approximately 0.86 at a confidence threshold of around 0.385. Precision values remained above 0.8 for most of the confidence range, while maximum recall reached 0.95.
Co-Authors Haerullah, Haerullah Permatasari, Nindy Prasetyo, Ariansyah Aryo Rizki, Afian Syafaadi Wibowo, Dwi Agung