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Rama Novta Miraldi
Program Studi Teknik Informatika Fakultas Teknologi Informasi Universitas Kristen Duta Wacana Yogyakarta
Computer Science & IT

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IMPLEMENTASI ALGORITMA FP-GROWTH UNTUK SISTEM REKOMENDASI BUKU DI PERPUSTAKAAN UKDW Rama Novta Miraldi; Antonius Rachmat Christanto; Budi Susanto
Jurnal Informatika Vol 10, No 1 (2014): Jurnal Teknologi Komputer dan Informatika
Publisher : Universitas Kristen Duta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (8240.996 KB) | DOI: 10.21460/inf.2014.101.323

Abstract

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.
Co-Authors Antonius Rachmat Chrismanto Budi Susanto