eprintid: 48674
rev_number: 17
eprint_status: archive
userid: 8793
dir: disk0/00/04/86/74
datestamp: 2025-05-14 02:53:23
lastmod: 2025-05-14 02:53:23
status_changed: 2025-05-14 02:53:23
type: thesis
metadata_visibility: show
contact_email: 3332200019@untirta.ac.id
creators_name: Hidayat, Ahmad
creators_id: 3332200019
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_type: http://www.loc.gov/loc.terms/relators/THS
contributors_name: Lufianawati, Dina Estining Tyas
contributors_name: Fahrizal, Rian
corp_creators: UNIVERSITAS SULTAN AGENG TIRTAYASA
corp_creators: FAKULTAS TEKNIK
corp_creators: JURUSAN TEKNIK ELEKTRO
title: ANALISIS PERFORMA YOLO PADA DETEKSI 
SAMPAH ORGANIK
ispublished: unpub
subjects: TK
divisions: Elektro
full_text_status: restricted
abstract: YOLO (You Only Look Once) is an object detection method known for its high accuracy. This study analyzes the impact of data augmentation and object background on the performance of organic waste detection (vegetables and fruits) using YOLOv8. Two models were compared, Model 1 (without augmentation) and Model 2 (with augmentation), tested using datasets with plain and complex backgrounds. The results show that Model 2 outperformed Model 1, achieving an accuracy of 98.0% on plain backgrounds and 78.0% on complex backgrounds, compared to Model 1 96.7% and 64.0%, respectively. On average, Model 2 recorded an accuracy of 88.0%, higher than Model 1 80.3%. Additionally, Model 2 also achieved better precision, recall, and F1-score values, demonstrating that data augmentation can enhance YOLO performance in detecting organic waste. The background of the object significantly affects the model’s accuracy, especially with complex backgrounds that make it difficult for the model to distinguish the main object from other elements in the image.


Keywords: Performance Analysis, YOLO, Data Augmentation, Object Backgrounds, Organic Waste.
date: 2025-05-11
date_type: published
pages: 97
institution: Fakultas Teknik Universitas Sultan Ageng Tirtayasa
department: TEKNIK ELEKTRO
thesis_type: sarjana
thesis_name: sarjana
citation:   Hidayat, Ahmad  (2025) ANALISIS PERFORMA YOLO PADA DETEKSI SAMPAH ORGANIK.  S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.   
document_url: https://eprints.untirta.ac.id/48674/1/Ahmad%20Hidayat_3332200019_Fulltext.pdf
document_url: https://eprints.untirta.ac.id/48674/2/Ahmad%20Hidayat_3332200019_01.pdf
document_url: https://eprints.untirta.ac.id/48674/3/Ahmad%20Hidayat_3332200019_02.pdf
document_url: https://eprints.untirta.ac.id/48674/4/Ahmad%20Hidayat_3332200019_03.pdf
document_url: https://eprints.untirta.ac.id/48674/5/Ahmad%20Hidayat_3332200019_04.pdf
document_url: https://eprints.untirta.ac.id/48674/6/Ahmad%20Hidayat_3332200019_05.pdf
document_url: https://eprints.untirta.ac.id/48674/7/Ahmad%20Hidayat_3332200019_Ref.pdf
document_url: https://eprints.untirta.ac.id/48674/8/Ahmad%20Hidayat_3332200019_Lamp.pdf
document_url: https://eprints.untirta.ac.id/48674/9/Ahmad%20Hidayat_3332200019_CP.pdf