@thesis{thesis,
		author={Ari Puri Lestar  Nopi},
		title ={SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN
RUMAH LELANG MENGGUNAKAN METODE PROFILE MATCHING},
		year={2022},
		url={http://eprints.stta.ac.id/1407/},
		abstract={There are many types of houses auctioned by banks. So far, to determine
the house that fits the criteria, the user must examine and examine the data on the
houses one by one by looking for auction house information directly at the bank
or by getting information from the website. official website auction therefore, a
website in conducting the auction house search process according to the required
house. In this study, the design and construction of a decision support system for
the selection of auction house recommendations was carried out to determine the
house to be selected. The recommendations for the selection of houses offered
include Bank Rakyat Indonesia (BRI) and the State Savings Bank (BTN) with
auction houses located in Yogyakarta. The application of the decision support
system for the selection of auction house recommendations uses the profile
matching. This method is used because it is able to provide recommendations with
the final results of the ranking with the criteria that have been determined by the
two banks. The test results apply manual calculations and the system gets the
same ranking results, the highest rank is obtained by the State Savings Bank
(BTN) alternative house with a ranking of 4,955.}
		}