IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK SISTEM REKOMENDASI BUKU DI PERPUSTAKAAN MTS NEGERI 3 SLEMAN

Setiyo Agus Nugroho, Erni Seniwati
UNIVERSITAS AMIKOM YOGYAKARTA.2019

A B S T R A C T

The library is part of the learning resources that every school should have. It aims to facilitate students looking for information or science through the library. Along with the development of the library, the number of books in the library collection is growing.

The MTs Negeri 3 Sleman library has a large collection of books to help students find information or knowledge. Increasing number of books in the library collection MTs Negeri 3 Sleman hence required a book-taking system that will help students to find the required books.

The system has recommended features to provide related books. This system is based on the implementation of FP-Growth algorithm. With this system is expected to help students to find the required books and get recommendations related books.

Keywords – Data Mining, Association Rule, Recommended System, FP-Growth algoritm.

CategoryUndergraduate Thesis
Posted Date15 Maret 2019
Modified Date15 Maret 2019
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