SISTEM IDENTIFIKASI PENYAKIT DAUN TANAMAN MENTIMUN MENGGUNAKAN ARTIFICIAL NEURAL NETWORK (ANN)

Mutrifani, Anggun Wasilina (2023) SISTEM IDENTIFIKASI PENYAKIT DAUN TANAMAN MENTIMUN MENGGUNAKAN ARTIFICIAL NEURAL NETWORK (ANN). Undergraduate thesis, Politeknik Negeri Jember.

	Text (Abstract) Abstract.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (224kB)
	Text (Bab 1 Pendahuluan) Bab 1 Pendahuluan.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (185kB)
	Text (Laporan Lengkap) Full Text.pdf Restricted to Registered users only Download (2MB) | Request a copy
	Text (Daftar Pustaka) Daftar Pustaka.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (159kB)

Abstract

This study aims to develop a disease identification system on cucumber leaves using color and texture feature extraction based on Artificial Neural Network (ANN). 120 cucumber leaf images were used as input data and processed with HSV color conversion and texture feature extraction using the Gray Level Co-Occurrence Matrix (GLCM). The classification method used is ANN with the Backpropagation algorithm. The results of training and testing show that this method has high accuracy, with training accuracy reaching 85.55% and testing accuracy reaching 80%. This identification system is expected to help farmers identify diseases on cucumber leaves more accurately, so that proper treatment can be carried out to increase the quality and quantity of production

Actions (login required)

View Item