Penerapan Algoritma Apriori Dalam Penentuan Tata Letak Buku Pada Perpustakaan Daerah

Abstract

Information Technology at this time has developed rapidly throughout the world. Currently information technology can help facilitate all human work in managing information optimally in contrast to what was felt when the technology era was not as sophisticated as this. The library is a place established with the aim of being a place to collect printed and recorded knowledge. Inside it has several collections of books that have been arranged in such a way as possible by giving numbering according to the available book categories so that visitors can easily and correctly use them. In a number of borrowing activities that are very many every day, the library sometimes feels confused about telling which books to borrow because of the irregularity of the book layout, this is still considered not optimal because the library cannot know how often the book is borrowed or how often the book is borrowed. visitors who feel confused to look for books that are often borrowed. In the process of determining the layout of books at the Medan City Regional Library, 100 categories of books are used in book lending transactions for up to 30 or 31 days or for a month. This is done to find out the determination of the layout of the book according to the number of loan transactions at the Medan City regional library. Then we need a system that uses data mining, namely the a priori method. This method can assist in determining the pattern of determining the layout of books according to the needs of the regional library. The results obtained are: If you choose a book in the General Publication category, you also choose an Indonesian language book with a support value of 40% and a Confidence value of 75%, conversely if you choose a book in the Indonesian Language category, you borrow a book in the General Publication category with a support value of 40% and a Confidence value of 70%.