@thesis{thesis,
		author={Octaviani  Riska},
		title ={REKOMENDASI JASA MAKE UP DI JOGJA MENGGUNAKAN PENDEKATAN CASE BASE REASONING},
		year={2023},
		url={http://eprints.stta.ac.id/1332/},
		abstract={The difficulty of finding information about make-up services in Jogja 
makes it difficult for clients to find make-up services that match what they are 
looking for and want. This happens because there is not yet an appropriate 
method for finding recommendations for make-up services in Jogja. Therefore this 
study aims to build a website-based application to help process accurate data in 
searching for make-up service recommendations in Jogja. So we need a method to 
be applied to the application in recommending makeup services to suit. This 
application was built using the Vector Space Model (VSM) approach in case base 
reasoning to look for closeness in the input text with the cosine similarity 
approach so that it is obtained from testing 35 data with 10 new case trials with a 
similarity index of 70% and above as many as 7 sample questions with the highest 
percentage was 100% and the lowest percentage was 74.8% and the similarity 
level was below 70% for 3 sample questions with the highest percentage being 
52% and the lowest percentage being 23%.}
		}