APPLYING COMPUTER VISION IN SORTING ORGANIC AND INORGANIC WASTE USING THE YOLO ALGORITHM

SAHIB, MUHAMMAD RIFQI (2026) APPLYING COMPUTER VISION IN SORTING ORGANIC AND INORGANIC WASTE USING THE YOLO ALGORITHM. Tugas Akhir thesis, University of Technology Yogyakarta.

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Abstract

ABSTRACT Waste management has recently become a significant concern in many countries, particularly in Indonesia. Several cases in Indonesia have highlighted the problem of landfills (TPA) reaching capacity, primarily due to suboptimal waste sorting, which prolongs the separation process between organic and inorganic waste. This study aims to implement computer vision technology for an organic and inorganic waste sorting system using the YOLO (You Only Look Once) algorithm. YOLO was selected for its ability to detect objects in real time with high accuracy. The dataset used in this study consists of images of organic and inorganic waste obtained via direct image capture and supplemented with images from online sources. These images underwent labeling and augmentation before being used for model training. Test results demonstrate that the developed system can detect and differentiate between organic and inorganic waste in real time, achieving 80% precision, 76% recall, and a mean Average Precision (mAP) of 83%. The application of the YOLO algorithm in this system has accelerated waste sorting and reduced reliance on human labor. Therefore, this system is expected to serve as an alternative solution to support more effective and efficient waste management in the future. Keywords: Computer Vision, Detection, YOLO (You Only Look Once), Waste Sorting, Organic and Inorganic

Item Type: Thesis (Skripsi, Tugas Akhir or Kerja Praktek) (Tugas Akhir)
Subjects: T Technology > T Technology (General) > T201 Patents. Trademarks
Divisions: Fakultas Sains Dan Teknologi > S1 Informatika
Depositing User: Kaprodi S1 Informatika UTY
Date Deposited: 05 May 2026 03:15
Last Modified: 05 May 2026 03:15
URI: http://eprints.uty.ac.id/id/eprint/19771

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