KLASIFIKASI PENYAKIT TANAMAN CABAI RAWIT MENGGUNAKAN METODE YOLO V7 DAN YOLO V8

ASHAR, MUHAMMAD RIMA MUSTAGHFIRIN BIL (2025) KLASIFIKASI PENYAKIT TANAMAN CABAI RAWIT MENGGUNAKAN METODE YOLO V7 DAN YOLO V8. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Indonesia is known as an agricultural country, meaning it relies on agriculture to support development and meet the needs of its population. Indonesia's agricultural sector is divided into sub-sectors such as food crops, horticulture, plantations, fisheries, livestock, and forestry. Cayenne pepper (Capsicum annuum L.) is one of the vegetable horticultural plants that has a high economic value so that it can provide high income for farmers who cultivate it. Indonesian people are among the biggest chili consumers in the world. According to the Central Statistics Agency (BPS), cayenne pepper production in Indonesia was 1.55 million tons in 2022. This number increased by 11.5% compared to the previous year which was 1.39 million tons. In this study, detection and classification of cayenne pepper leaf diseases were carried out using the YOLO (You Look Only Once) version 7 and 8 method. YOLO is one of the algorithms in computer vision that is used for real-time object detection. YOLO is famous for its ability to detect objects in images or videos very quickly and accurately. With YOLO, diseases in chili plants can be detected what type of disease it is. The best accuracy was obtained when the ratio of training data was greater than the test data, namely 80:20, with an mAP score of 0.887 or 88.7%.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Rahmat, Basuki	NIP196907232021211002	basukirahmat.if@upnjatim.ac.id
Thesis advisor	Maulana, Hendra	UNSPECIFIED	hendra.maulana.if@upnjatim.ac.id

Subjects:

T Technology > T Technology (General)

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Muhammad Rima Mustaghfirin Bil Ashar

Date Deposited:

14 Jul 2025 07:31

Last Modified:

14 Jul 2025 07:31

URI:

https://repository.upnjatim.ac.id/id/eprint/39181