@thesis{thesis,
		author={Djunaidi  Karina and Rusjdi  Darma and TAMPUBOLON  FACHRI YUSZA PARLINGGOMAN},
		title ={KLASIFIKASI PENYAKIT KULIT BUAH KAKAO
MENGGUNAKAN METODE CNN},
		year={2022},
		url={http://156.67.221.169/5708/},
		abstract={Chocolate is a food that is in demand from people of all ages, besides being delicious, 
chocolate also has a variety of nutritional content that has various benefits such as 
improving brain function, chocolate itself is the grinding process of cocoa beans on the 
cocoa plant. The problem faced is that cocoa plants on the surface of the cocoa pods have 
various types of diseases such as black pod, frosty pod and pod borer, these diseases can 
reduce the quality of the cocoa beans produced and can also create a pandemic around the 
cocoa plantation which results in crop failure. good technology is needed to overcome this 
problem such as calcification of the type of disease on the skin of cocoa pods using the 
convolutional neural network method, having good quality and a fairly good level of 
accuracy. In the process, modeling will be made on objects carried out on hard tensorflow 
software which in the future results The results obtained from the model process will be 
included in the application for calcification of cocoa pods. This study uses four types of 
classification, namely healthy class, black pod frosty pod and pod borer. The results 
obtained in this study were 0.9569 on the tensorflow object train and 0.86 on the valitadion. 
the prediction of the tensorflow model obtained is 86.75%. from the results obtained, 
developments can be made for the manufacture of detection tools for cocoa pod skin 
disease}
		}