association rule Implementation of Data Mining to Determine Book Placement Recommendation Based on Lending Pattern Using Association Rule

Implementation of Data Mining to Determine Book Placement Recommendation Based on Lending Pattern Using Association Rule

  • Yusuf Nawawi Universitas Mercu Buana Yogyakarata
Keywords: Data mining association rule.

Abstract

Library book lending data is increasing, thus a processing to make the lending transaction record data into information is required to help library visitor find books by finding relation with book borrowed at the same time. The relation of borrowed book item was found by analyzing library book lending data from 2014 to March 2019. The data was cleaned to select the attributes of id member, book code, book title and inconsistent writing, then the data was grouped into one single transaction during book lending in the library and transformed into tabular data to calculate the itemset of books borrowed at the same time. Association rules were made using data which had been grouped and transformed into one tabular data transaction during lending, resulting in 2225 transaction data with 0.01 support and confidence by putting the limit of 50 association rules with the highest role being lending communication science book with psychology book with support x confidence of 8.17%

Downloads

Download data is not yet available.

References

Fajri, A. F. (2016). Implementasi Algoritma Apriori Dalam Menentukan Program Studi Yang Diambil Mahasiswa. Sistem Informasi, Stmik Jayanusa. ISSN: 1979-9292 E-ISSN: 2460-5611.
Fitriati, D. (2016). Implementasi Data Mining untuk Menentukan Kombinasi Media Promosi Barang Berdasarkan Perilaku Pembelian Pelanggan Menggunakan Algoritma Apriori. Teknik Informatika, Universitas Pancasila. ISBN : 979-587-626-0.
Kusrini, & Lutfi, T. E. (2009). Algoritma Data Mining. Yogyakrta: Andi Offset.
Prosetyo, E. (2012). Data Mining Konsep Dan Aplikasi Menggunakan Matlab. Yogyakarta: Andi Offset.
Sani, A. (2016). Analisa Penjualan Retail Dengan Metode Association Rule Untuk Untuk Pengambilan Keputusan Strategis Perusahaan : Studi Kasus PT. Xyz. Sekolah Tinggi Manajemen Informatika dan Komputer Widuri. ISSN: 2460-2105.
Santoso, H. (2017). Data Mining Penyusunan Buku Perpustakaan Daerah Lombok Barat Menggunakan Algoritma Apriori.
Sari, P., & Sinaga, B. (2018). Aplikasi Data Mining Dengan Menggunakan Algoritma Apriori Untuk Penjualan Produk Terbesar Pada CV. Sakura Photo. Program Studi Teknik Informatika, STMIK Pelita Nusantara Medan. e-ISSN 2580-9741 p-ISSN 2088-3943.
Suharjo, I. (2015). Klasifikasi Melalui Clustering untuk Memprediksi Tingkat Kelulusan Siswa Berdasarkan Data Akademik Perguruan Tinggi (Studi Kasus Data: Program Psikologi Universitas Mercu Buana Yogyakarta).
Yanto, R., & Dikekusuma, H. (2017). Pemanfaatan Data Mining Untuk Penempatan Buku Di Perpustakaan Menggunakan Metode Association. Jurusan Sistem Informasi, STMIK Bina Nusantara Jaya Lubuklinggau. ISSN: 2407-4322.
Published
2020-04-21