@thesis{thesis,
		author={HUTAPEA  LUCY REGINA and Rifai  Mochamad Farid and Susanti  Meilia Nur Indah},
		title ={KLASIFIKASI GOLONGAN RUMAH TANGGA UNTUK PERHITUNGAN BIAYA AIR BERBASIS WEB MEGGUNAKAN METODE FUZZY K-NEAREST NEIGHBOR (STUDI KASUS : PDAM TIRTAULI PEMATANGSIANTAR)},
		year={2018},
		url={http://156.67.221.169/4514/},
		abstract={The increase in customer data at Tirtauli Pematangsiantar PDAM reaches 1,700
to 2,000 customers. Where 90% of the data is household customer data 1 (one) to 6 (six)
households. The increase in data affects the tariff for water payments, if the customer
classification experiences an error, the company gets a substantial loss. Therefore the
authors propose making an application where this application can help the company in
classifying the class of customer households and also helps customers to check the
water usage rates every month. This household classification application uses the Fuzzy
K-Nearest Neighbor method. This method is used for classification because it has a high
degree of accuracy. The results of this application can be used to check the rates used
by customers every month, before customers make payments for water usage at the
PDAM counter.}
		}