ANALISIS ALGORITMA APRIORI UNTUK REKOMENDASI PENEMPATAN BUKU PADA PERPUSTAKAAN UNIVERSITAS BINA INSAN

ilham ilham

Abstract

Libraries are not only places where books are stored, but are also centers of intellectual activity that play a key role in enlivening the spirit of learning and the discovery of knowledge. Through a variety of systematically arranged collections and diverse services, libraries are able to facilitate access to information for all levels of society. Apart from that, the library is also a place to share and exchange ideas, gather a learning community, and facilitate in-depth discussions and reflection.Thus, libraries and librarians are not only part of the educational infrastructure, but are also important assets in strengthening the foundations of knowledge and creativity that are the basis for sustainable development. There is a possibility that every week, the borrower borrows books from the library, so that there is repetition of the books borrowed, in repeating or borrowing the same book from one book to another, and can obtain useful information for the borrower. Next, choosing which books are suitable takes the form of book recommendations that are often related to each other according to the borrower's interests. To solve this problem, the Apriori Algorithm method is a suitable algorithm because it is one of the algorithms that carries out the searchfrequent itemset using the Association Rule technique. Association Rule what is meant is done through a counting mechanism support and confidence of an item relationship. An association rule is said to be interesting if the support value is greater than the minimum support and valueconfidence is greater than the minimum confidence. This a priori algorithm will be suitable to be applied if there are several item relationships that want to be analyzed and can be applied in the library field.

Keywords

Kata kunci: Library; Apriori Algorithm; Association Rule

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References

A. A. Hidayat, “Penerapan algoritma apriori pada apotek shaqeena untuk memprediksi penjualan berbasis android 1,2,3,” vol. 4, no. 3, pp. 302–312, 2023.

Z. Abidin, A. K. Amartya, and A. Nurdin, “PENERAPAN ALGORITMA APRIORI PADA PENJUALAN SUKU CADANG KENDARAAN RODA DUA ( STUDI KASUS : TOKO PRIMA MOTOR SIDOMULYO ),” vol. 16, pp. 225–232, 2022.

R. Sari and R. Y. Hayuningtyas, “Analisis Keranjang Belanja Pada Transaksi Penjualan Menggunakan Algoritma Apriori,” vol. 9, no. 1, pp. 46–51, 2021.

J. R. Gumilang, “IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISIS,” vol. 1, no. 2, pp. 226–233, 2020.

A. Rahmadsyah, H. Hartono, and R. Rosnelly, “Analisa Association Rule Pada Algoritma Apriori Untuk Minat Pembelian Alat Kesehatan,” J. Media Inform. Budidarma, vol. 5, no. 1, p. 280, 2021, doi: 10.30865/mib.v5i1.2658.

E. - and S. P. Tamba, “Penerapan Data Mining Algoritma Apriori Dalam Menentukan Stok Bahan Baku Pada Restoran Nelayan Menggunakan Metode Association Rule,” J. Sist. Inf. dan Ilmu Komput. Prima(JUSIKOM PRIMA), vol. 5, no. 2, pp. 97–102, 2022, doi: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2407.

A. R. Riszky and M. Sadikin, “Data Mining Menggunakan Algoritma Apriori untuk Rekomendasi Produk bagi Pelanggan,” J. Teknol. dan Sist. Komput., vol. 7, no. 3, pp. 103–108, 2019, doi: 10.14710/jtsiskom.7.3.2019.103-108.

C. S. D. B. Sembiring, L. Hanum, and S. P. Tamba, “Penerapan Data Mining Menggunakan Algoritma K-Means Untuk Menentukan Judul Skripsi Dan Jurnal Penelitian (Studi Kasus Ftik Unpri),” J. Sist. Inf. dan Ilmu Komput. Prima(JUSIKOM PRIMA), vol. 5, no. 2, pp. 80–85, 2022, doi: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2393.

M. F. M. N. R. R. R. ALIFI and Program, “Analisis Dan Implementasi Data Mining Menggunakan Algoritma Apriori Untuk Meningkatkan Penjualan Pada Kantin Universitas Tanri Abeng,” vol. 12, no. 3, pp. 210–218, 2019, doi: 10.30998/faktorexacta.v12i3.4541.

A. Prasetyo, N. Musyaffa, and R. Sastra, “IMPLEMENTASI DATA MINING UNTUK ANALISIS DATA PENJUALAN DENGAN MENGGUNAKAN ALGORITMA APRIORI ( STUDI KASUS DAPOERIN ’ S ),” vol. VIII, no. 2, 2020.

I. Qoni and A. T. Priandika, “ANALISIS MARKET BASKET UNTUK MENENTUKAN ASOSSIASI RULE DENGAN ALGORITMA APRIORI ( STUDI KASUS : TB . MENARA ),” vol. 1, no. 2, pp. 26–33, 2020.

H. Kusumo, E. Sediyono, and M. Marwata, “Analisis Algoritma Apriori Untuk Mendukung Strategi Promosi Perguruan Tinggi,” vol. 1, no. 1, pp. 51–62, 2019.

G. P. C. J, “DATA MINING DENGAN ALGORITMA APRIORI,” pp. 1–5.

D. Rusdianto et al., “Jurnal Sistem Informasi , J-SIKA Volume 02 Nomor 02 , Desember 2020 IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA APRIORI UNTUK MENGETAHUI POLA PEMINJAMAN BUKU DI PERPUSTAKAAN UNIVERSITAS Jurnal Sistem Informasi , J-SIKA Volume 02 Nomor 02 , Desember 202,” vol. 02, pp. 1–10, 2020.

DOI: https://doi.org/10.1593/jreec.v4i1.5794
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