@thesis{thesis,
		author={Haris  Abdul and Nugroho  Ario and Sikumbang  Hengki},
		title ={IDENTIFIKASI PENYAKIT PADA TANAMAN CABAI MERAH KERITING DENGAN METODE CONVOLUTIONAL NEURAL NETWORK BERDASARKAN CITRA DAUN},
		year={2022},
		url={http://156.67.221.169/5792/},
		abstract={Chili is a vegetable commodity that plays an important role in national 
economic development. The decline in the yield of curly red chilies due to attacks by 
plant-disturbing diseases resulted in losses and decreased crop yields for plant managers. 
IP2TP chili in this study discusses red chili diseases with three classes, namely leaf spot, 
yellow leaf disease, and thrip. through the process of detecting leaves affected by diseases 
caused by many factors, in this study the number of data was 249 data. The data will be 
processed by the website using the Convolutional Neural Network method on a system 
made with the aim of detecting disease in red chili peppers to identify chili plants affected 
by the disease, after monitoring the 20 epoch model training process an accuracy of 91% 
with a loss value is obtained. 18%. By taking 24 data samples that were tested on the 
system, using the Confusion Matrix, an accuracy value of 79% was obtained.}
		}