IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK SISTEM REKOMENDASI BUKU DI PERPUSTAKAAN UKDW

Rama Novta Miraldi (Program Studi Teknik Informatika Fakultas Teknologi Informasi Universitas Kristen Duta Wacana Yogyakarta)
Antonius Rachmat Christanto (Program Studi Teknik Informatika Fakultas Teknologi Informasi Universitas Kristen Duta Wacana Yogyakarta)
Budi Susanto (Program Studi Teknik Informatika Fakultas Teknologi Informasi Universitas Kristen Duta Wacana Yogyakarta)

Jurnal Informatika
Vol 10, No 1 (2014): Jurnal Teknologi Komputer dan Informatika

The number of collections in a library will be increase along with the growth of the library. The Library of Universitas Kristen Duta Wacana (UKDW) also has a large number-of books collection in order to provide literature and resources service to students. Wen the number of collection is very large, we need a retrieval system that will help anyone to find the needed resoLtrces. This system has a recommendation feature to provide related books or resources. This feature will help users to find similar literature/resources or related topic with what they need. This paper will describe about the main design and implementation of the book recommendation based on FP-Growth algorithm. Based on the experiments, this system can provide 60.78% of accuracy for related books recommendation.