Artikel Jurnal :: Kembali

Artikel Jurnal :: Kembali

Pemodelan personalisasi rekomendasi buku dengan pendekatan association rule mining sely

Sely Yoanda, Imas Sukaesih Sitanggang, Agus Buono (Perpustakaan Universitas Gajah Mada, 2018)

 Abstrak

ABSTRAK
Library X is an academic library in Jakarta, Indonesia. Library X has provided Online Public Access Catalog (OPAC) as a tool to provide information related to the collection. However, sometimes the information appears does not show high relevancy. One way to solve this problem is to develop user need based-book recommendation system. The purpose of this study is to create personalization model of book recommendations in Library X.Data Collection Method. The method used in this study was association rule mining using Apriori algorithm. Results and Discussions. The results showed that the book relationships for the minimum support was 0.1% and the minimum confidence was 10% and generated 42 association rules. It is noted that 657 (Accounting) and 658 (Management) are found to support for 2.6% with the confidence level for 14%.Conclusions. Book recommendation is formulated by selecting the rule with maximum support and confidence. The recommendation system is designed to be integrated to web application and users e-mail.

 Metadata

Jenis Koleksi : Artikel Jurnal
No. Panggil : BIPI 14:2 (2018)
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Penerbitan : Yogyakarta: Perpustakaan Universitas Gajah Mada, 2018
Sumber Pengatalogan : LibUI ind rda
ISSN : 16937740
Majalah/Jurnal : Indonesian Journal of Library and Information Science
Volume : Vol. 14, No. 2, Desember 2018: Hal. 238 - 250
Tipe Konten : text
Tipe Media : unmediated
Tipe Carrier : volume
Akses Elektronik :
Institusi Pemilik : Universitas Indonesia
Lokasi : Perpustakaan UI, Lantai 4, R. Koleksi Jurnal
  • Ketersediaan
  • Ulasan
  • Sampul
No. Panggil No. Barkod Ketersediaan
BIPI 14:2 (2018) 03-19-157037114 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20498180
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