Penerapan Algoritma Apriori Dalam Penentuan Tata Letak Buku Pada Perpustakaan Daerah
- Raymond David Simaremare Universitas Budi Darma, Medan, Indonesia
-
Soeb Aripin
*
Universitas Budi Darma, Medan,
Indonesia
(*) Corresponding Author
Abstract
Information Technology at this time has developed rapidly throughout the world. Currently information technology can help facilitate all human work in managing information optimally in contrast to what was felt when the technology era was not as sophisticated as this. The library is a place established with the aim of being a place to collect printed and recorded knowledge. Inside it has several collections of books that have been arranged in such a way as possible by giving numbering according to the available book categories so that visitors can easily and correctly use them. In a number of borrowing activities that are very many every day, the library sometimes feels confused about telling which books to borrow because of the irregularity of the book layout, this is still considered not optimal because the library cannot know how often the book is borrowed or how often the book is borrowed. visitors who feel confused to look for books that are often borrowed. In the process of determining the layout of books at the Medan City Regional Library, 100 categories of books are used in book lending transactions for up to 30 or 31 days or for a month. This is done to find out the determination of the layout of the book according to the number of loan transactions at the Medan City regional library. Then we need a system that uses data mining, namely the a priori method. This method can assist in determining the pattern of determining the layout of books according to the needs of the regional library. The results obtained are: If you choose a book in the General Publication category, you also choose an Indonesian language book with a support value of 40% and a Confidence value of 75%, conversely if you choose a book in the Indonesian Language category, you borrow a book in the General Publication category with a support value of 40% and a Confidence value of 70%.
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References
S. N. Trija Fayeldi, D. Abdurohman, and Z. H. Bestari, Teknologi Modern: Pemikiran Fenomenal Menuju Modernisasi ke Masa Depan. Bestari Kids, 2012.
S. H. Wibowo et al., Sistem Pendukung Keputusan Pada Teknologi Informasi. Get Press, 2022.
M. M. M. S. Drs. Dodi Pribadi, Peringkat Perpustakaan Kabupaten/Kota. Singa Bangsa Pustaka, 2020.
Metode Dan Aplikasi Sistem Pendukung Keputusan. Deepublish, 2018.
Z. MUSIAFA, Algoritma Apriori Penentuan Pola Penjualan: Studi Kasus Toko Akhtar Galaxy. ZAYID MUSIAFA, 2021.
P. Iswandi, I. Permana, and F. N. Salisah, “Penerapan Algoritma Apriori Pada Data Transaksi Penjualan Hypermart Xyz Lampung Untuk Penentuan Tata Letak Barang,” J. Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 6, no. 1, p. 70, 2020, doi: 10.24014/rmsi.v6i1.7613.
Y. Andini, J. T. Hardinata, and Y. P. Purba, “Penerapan Data Mining pada Tata Letak Buku Di Perpustakaan Sintong Bingei Pematangsiantar dengan Metode Apriori,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 7, no. 1, p. 13, 2022, doi: 10.30645/jurasik.v7i1.410.
G. Gunadi and D. I. Sensuse, “Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Buku Dengan Menggunakan Algoritma Apriori Dan Frequent Pattern Growth ( Fp-Growth ) :,” Telematika, vol. 4, no. 1, pp. 118–132, 2012.
F. F. Zamzam, Aplikasi Metodologi Penelitian. Deepublish, 2018.
S. E. M. S. Dr. Nisma Iriani et al., METODOLOGI PENELITIAN. RIZMEDIA PUSTAKA INDONESIA, 2022.
J. Han, M. Kamber, and J. Pei, Data Mining: Concepts and Techniques. Elsevier Science, 2011.
Sarwandi, lince t Sianturi, and nelly astuti Hasibuan, SISTEM PENDUKUNG KEPUTUSAN. PT. Sonpedia Publishing Indonesia, 2023.
H. Hendratman, Prinsip Desain Tata Letak Yang Menarik: Dengan teknik Kisi-kisi / Grid, Perataan, Objek dan Garis Bantu, Sudut dan Elemen (huruf,angka dan geometri). Exotic, 2023.
B. Efori, Data Mining Untuk Perguruan Tinggi. Yogyakarta: Deepublish, 2020.
I. G. I. Sudipa et al., MULTI CRITERIA DECISION MAKING : Teori & Penerapan Metode Pengambilan Keputusan dengan MCDM. PT. Sonpedia Publishing Indonesia, 2023.
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