KOMBINASI ALGORITME APRIORI DAN FP-GROWTH PADA REKOMENDASI PENAMABAHAN BUKU DI PERPUSTAKAAN STMIK AMIKOM PURWOKERTO

The college library is located in STMIK AMIKOM Purwokerto, where Amikom library is a facility or a place that provides reading material for students to be able to develop science. The addition of books in the library is an important thing to support students in learning. The addition of books in the library is done by looking at the number of requests the title of the book from the library members, but the book added not necessarily can be utilized well by members of the library, there are many books rarely borrowed members of the library. The incorrect addition of a book will make the book addition fund unsuitable. So needed a strategy to add the book, so that the book in add can be better utilized by the library visitors. Data mining is a technique to extract a hidden information from a set of data. The method used in this study using the association method of Apriori Algorithm and Fp-growth by using the transaction data borrowing books. The result of this research is the recommendation for the addition of books in the library of Amikom, the rule that is obtained if libraries buy books such as book 8213 (Guidance project to make pharmacy web application pharmacy with PHP, MySQL & Dreamweaver) library should also buy books like book 9498 (HTML 5 & CSS 3 learning from case).