SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN
RUMAH LELANG MENGGUNAKAN METODE PROFILE MATCHING
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Institusion
INSTITUT TEKNOLOGI DIRGANTARA ADISUTJIPTO
Author
Ari Puri Lestar, Nopi
Subject
Q Science (General)
Datestamp
2024-03-27 05:59:34
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.
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.
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