IMPLEMENTASI ALGORITMA FREQUENT PATTERN GROWTH BERBASIS WEBSITE UNTUK SISTEM REKOMENDASI BUKU PADA AMIKOM RESOURCE CENTER

Wahyuli, Mulia Sulistiyono
UNIVERSITAS AMIKOM YOGYAKARTA.2020

A B S T R A C T

Amikom Resource Center is the only library at the University of AMIKOM Yogyakarta, where every day there is a book lending activity in which the book lending transaction data will be very large data, the data set can be more useful information one of them is generating book recommendations based on relationships between books that are most often borrowed simultaneously. Relationships between books that are most frequently borrowed simultaneously can be searched using one data mining technique, the fp-growth algorithm.

The frequent pattern algorithm is one alternative algorithm that can be used to determine the set of data that most often appears (frequent itemset) in data set based on the history of transaction some time before.

Keywords: AMIKOM Resource Center, FP-Growrh, Association Rules, Data Mining, Library, Book Recommendations

CategoryUndergraduate Thesis
Posted Date11 Januari 2020
Modified Date11 Januari 2020
Download File Publikasi_16.11.0640.pdf
Google Scholar