Analisa Algoritma Apriori Pada Pola Peminjaman Buku di Perpustakaan ITB Ahmad Dahlan
DOI:
https://doi.org/10.30865/mib.v4i1.1475Keywords:
Association, Apriori Algorithms, Book LoansAbstract
The library is a source of information and a place of learning. Each book lending information is stored by the library so as to produce large data lending books. Big data if not utilized will create problems in the future. In this study, researchers will utilize a priori algorithms and Tanagra software to group library book borrowing data at Ahmad Dahlan ITB based on trends that occur together in library visit activities. In the process of borrowing books, of course the raw data will be processed by dividing it into different pieces of data. Among the lending data tables processed are general lending tables, 2-itemset candidate tables, lending tabular tables, support value tables, confidence value tables. From the results of this study it can be seen what books are often borrowed together with a minimum support of 5% and 10% confidence one of which is Taxation and Taxation Accounting with a minimum support of 7.30% confidence 62.79%. And can be used as a reference for ITB Ahmad Dahlan in the procurement and placement of library book layout.References
Anas, A. (2016). Analisa Algoritma Apriori Untuk Mendapatkan Pola Peminjaman Buku Perpustakaan SMPN 3 Batanghari.
Anwar, S., Masukur, S., & Jailani, M. (2019). Manajemen Perpustakaan. Riau: PT. Indragiri.
Aprilina, M. N., Wiranto, & Widodo. (2015). Analisa Konsistensi Pola Peminjaman Buku Menggunakan Algoritma FP-Growth.
Badrul, M. (2016). Algoritma Asosiasi dengan Algoritma Apriori untuk Analisa Data Penjualan.
Lingga, D. (2016). Penerapan Algoritma Apriori Dalam Memprediksi Persediaan Buku Pada Perpustakaan SMA Dwi Tunggal Tanjung Morawa.
Nofriansyah, D. (2015). Konsep Data Mining vs Sistem Penunjang Keputusan. Yogyakarta: Deepublish.
Rahmah, E. (2018). Akses dan Layanan Perpustakaan. Jakarta: Prenada Media.
Srikanti, E., Yansi, R. F., Norhavana, Pemana, I., & Salisah, F. N. (2018). Penerapan Algoritma Apriori Untuk Mencari Aturan Asosiasi Pada Data Peminjaman Buku Di perpustakaan.
Subianto, M., AR, F., & p, M. H. (2018). Pola Peminjaman Buku Di Perpustakaan Universitas Syiah Kuala Menggunakan Algoritma Eclat.
Vulandari, T. R. (2017). Data Mining, Teori dan Aplikasi Rapidminer. Yogyakarta: Gava media.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
