PERBANDINGAN ALGORITMA APRIORI DAN FP-GROWTH UNTUK PEREKOMENDASI BUKU PADA TRANSAKSI PEMINJAMAN DI PERPUSTAKAAN UNIVERSITAS DIAN NUSWANTORO

Right now this method of of data mining has been widely used in many fields for data processing, one of which uses of data mining is the right decision makers are educational institutions that exist in the library. The library is one of the library service providers that can be used for teaching and learning activities. Collection of books contained in the library quite a lot, sometimes confusing visitors who want to borrow a library book. To simplify the process of borrowing library books on the need for a system that can help facilitate the loan process for students or faculty. In this study perekomendasi created a system using association rule mining algorithm Apriori of data mining and Fp-Growth (Frequent Pattern Growth). It aims to look at the validity of the results obtained information books