Digital Library: No conditions. Results ordered -Date Deposited. 2024-03-29T09:22:23ZEPrintshttp://digilib.unila.ac.id/images/sitelogo.pnghttp://digilib.unila.ac.id/2022-03-30T05:06:58Z2022-03-30T05:06:58Zhttp://digilib.unila.ac.id/id/eprint/56815This item is in the repository with the URL: http://digilib.unila.ac.id/id/eprint/568152022-03-30T05:06:58ZIMPLEMENTASI ASSOCIATION RULE DENGAN ALGORITMA
APRIORI PADA DATA PEMINJAMAN BUKU UPT PERPUSTAKAAN
UNIVERSITAS LAMPUNG MENGGUNAKAN METODOLOGI
CRISP-DM
UPT Perpustakaan Universitas Lampung merupakan UPT yang bergerak di bidang
perpustakaan. Memiliki dua layanan berdasarkan interaksinya yaitu layanan teknis
dan layanan pengguna. Saat ini UPT Perpustakaan Universitas Lampung memiliki
buku yang tercetak sebanyak 142.776. Penelitian ini bertujuan menemukan pola
association rule dengan teknik data mining memanfaatkan software RapidMiner
9.1 dalam penerapan algoritma Apriori. Metode penelitian Cross Industry Standar
Process for Data Mining (CRISP-DM) dengan tahapan business understanding
phase, data understanding phase, data preparation, modelling phase, evaluation
phase dan deployment phase. Data yang digunakan dalam penelitian ini adalah data
transaksi peminjaman buku dari tahun 2014 hingga 2017 dengan total data
peminjaman buku sebanyak 170.115. Hasil pemodelan association rule dengan
algoritma apriori menggunakan nilai support 0.3 dan nilai confidence 0.3 diperoleh
judul buku “Metodologi pengajaran bahasa” akan meminjam “English for tourism
:panduan berprofesi di dunia pariwisata” nilai support 1 dan confidence 1.
Rekomendasi untuk pembelian buku disarankan mengikuti pattern hasil
association rule.
Kata kunci: UPT Perpustakaan Universitas Lampung, Data Peminjaman Buku,
Data Mining, Association Rule, CRISP-DM.
Center Library of University of Lampung has two services based on their
interactions; they are technical service and user service. Today, Library Center of
University of Lampung has 142,776 printed books. This study aims to find the
association rule pattern with data mining techniques utilizing the RapidMiner 9.1
software in the implementation of the Apriori algorithm. Cross Industry Standard
Process for Data Mining (CRISP-DM) research methods with the businessunderstanding phase, the understanding phase, the data preparation phase, the
modeling phase, the evaluation phase and the deployment phase. The used data in
this study is book lending transaction data from 2014 to 2017 with a total book
lending data of 170,115. The results of association rule modeling with The Apriori
Algorithm using the value of support 0.3 and confidence value of 0.3 obtained the
title of the book "Language Teaching Methodology" will borrow "English for
tourism: a guide to professionalism in the world of tourism" value of support 1 and
confidence 1. Recommendation for purchasing books is advised to follow the
pattern of the results of the association rule.
Keywords: Center Library of University of Lampung, Data Book Lending, Data
Mining, Association Rule, CRISP-DM.1415061027 MERI FITRIANI-