@thesis{thesis,
		author={DWI PRASETYAWATI  SHANTI},
		title ={PERBANDINGAN TEOREMA BAYES DENGAN CERTAINTY 
FACTOR PADA SISTEM PAKAR UNTUK 
MENGIDENTIFIKASI HAMA UBI JALAR BERBASIS WEB},
		year={2018},
		url={http://eprints.stta.ac.id/2466/},
		abstract={Sweet potato (Ipomea batatas (L) Lamb) is one of the plants producing 
carbohydrate tubers that keep the tubers in the soil. The process of planting sweet 
potatoes has constraints such as pests that attack sweet potato, this is a problem for sweet 
potato farmers due to lack of knowledge of farmers against pest control of sweet potato. 
Based on the existing problems, an expert system was designed and built to identify 
sweet potato pests with a comparison of Bayes Theorem and Certainty Factor method. 
The process of identification of sweet potato pests is done by entering the symptoms 
experienced by sweet potato and then the symptoms are processed by system with Bayes 
Theorem and Certainty Factor method. The Bayes Theorem and Certainty Factor method 
yields the calculated value of each pest and is the highest value for the final result. Based 
on the test 35 data obtained comparison of the results between experts with Bayes 
Theorem method by 80%, while the ratio of results between experts with Certainty Factor 
method of 54.28%.}
		}