PENGGUNAAN ALGORITMA APRIORI UNTUK MENEMUKAN POLA PEMINJAMAN BUKU DI PERPUSTAKAAN UNIVERSITAS RIAU

Abstract

The Library of University of Riau provides various kinds of reading material such as journals, literature lecture modules, final project reports, and others. It provides a book search catalog feature to make it easier for visitors to borrow books based on book numbers and locker numbers without having to search it manually. Library visitors can borrow more than one book at a time. However, sometimes the borrowed book lockers are located far from another books. By because it is, the library must develop a variety of strategies in order to facilitate visitors to borrow books it simultaneously. One of the strategies that can be done is to analyze the pattern of borrowing books and give a recommendation of borrowing as well as the placement of books most many borrowed. The pattern of borrowing books is processed using the method of data mining association rule and algorithm priori to analyze the association between books were borrowed and determine the candidate combinations of the book are often borrowed. Research is conducted on 8237 the data transactions in a month from January to June 2019 with the value of minimum support 0,3% and minimum confidence of 30%. This research results in a combination of 5 rules of books, where the book with code B091371529 entitled Banking Law: Textbook will borrow a book with code B091361590 entitled Banking Law: an overview of money laundering, mergers, liquidations and bankruptcy with a support value of 0,004 = 0,4% and a value confidence 0,41 = 41%. The results of the interpretation of these rules can be used as a reference for placing recommendations and recommendations for borrowing books, namely books with code B091371529 and B091361590 placed on a bookshelf close together to make it easier for visitors to find and borrow the book simultaneously.