Application Of The Association Rule Method Based On Book Borrowing Patterns In Bojonegoro Regional Libraries

Putrye Aufia Indah  Lestari; Nita  Cahyani

doi:10.47709/cnahpc.v5i2.2893

Authors

Putrye Aufia Indah Lestari Universitas Nahdlatul Ulama Sunan Giri
Nita Cahyani Universitas Nahdlatul Ulama Sunan Giri

DOI:

10.47709/cnahpc.v5i2.2893

Keywords:

Algorithm, Association Rule , Library, FP-Tree, FP-Growth

Dimension Badge Record

Abstract

The library is an institution that processes collections of written and printed works, to meet the educational, research, information, and recreation needs of its users. The Bojonegoro Library Service provides reading materials with a collection of around 24,130 book titles and around 24,130 book copies. The number of registered visitors was 1,424 people. From 2021-2022, there are 303 book lending transaction data. Knowing the results of the Association Rule with the Frequent Pattem-Growth algorithm in determining recommendations for book placement based on borrowing patterns in libraries in the Bojonegoro area. The method used is Association Rule Mining, to produce an efficient algorithm, the algorithm used is the Frequent Pattern Growth (FP-Growth) Algorithm. The characteristic of the FP-Growth algorithm is the data structure used in a tree called FP-Tree. By using FP-Tree the FP-Growth algorithm can directly extract frequent itemsets from FP-Tree. The results of the research carried out by applying the FP growth algorithm with a support value limit of 20% and a confidence value of 80% from a dataset of 144 book lending transactions which became frequent itemsets were a combination of itemsets, resulting in a strong rule of 5 association rules which met the requirements. Can help the Bojongoro Library and archives service to improve the quality of service and can provide recommendations for librarians and as a reference for placing classes of books that are more often borrowed together closer together.

Downloads

Download data is not yet available.

Google Scholar Cite Analysis
Abstract viewed = 99 times

References

Andini, Yulia, Jaya Tata Hardinata, and Yuegilion Pranayama Purba. 2022. “Penerapan Data Mining Pada Tata Letak Buku Di Perpustakaan Sintong Bingei Pematangsiantar Dengan Metode Apriori.” Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) 7(1): 13.

Fajrin, Allfanisa Annurrrullah, and Koko Handoko. 2018. “Penerapan Data Mining Untuk Mengolah Association Rule Tata Letak Buku Dengan Metode.” Jurnal Ilmiah Informatika (JIF) 2: 60–65.

Firdayanti, Ayu. 2021. “Implementasi Data Mining Menggunakan Algoritma FP-Growth Dalam Penyusunan Tata Letak Buku Perpustakaan.” sienna 2: 62.

Gustian, Dudih, Kudin Rustaman, and Aditya Nurfitri. 2019. “Pemantauan Pola Pengunjung Perpustakaan Dengan Metode FP-Growth Guna Meningkatkan Fungsi Perpustakaan.” 3(2): 149–60.

Hafrida, Elisa, Febrina Sari, Desyanti Desyanti, and Siti Nurjannah. 2020. “Data Mining Pembentukan Pola Penggunaan Alat Kontrasepsi Dengan Metode Association Rule.” METHOMIKA: Jurnal Manajemen Informatika dan Komputerisasi Akuntansi 4(1): 186–91.

Kadafi, Muhamad. 2019. “Penerapan Algoritma FP-GROWTH Untuk Menemukan Pola Peminjaman Buku Perpustakaan UIN Raden Fatah Palembang.” Matics 10(2): 52.

Kurniawan, Edi. 2019. “Implementasi Data Mining Dalam Analisa Pola Peminjaman Buku Di Perpustakaan Menggunakan Metode Association Rule.” JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 5(1): 89–96.

M. Afdal, M. Afdal, and Muhammad Rosadi. 2019. “Penerapan Association Rule Mining Untuk Analisis Penempatan Tata Letak Buku Di Perpustakaan Menggunakan Algoritma Apriori.” Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi 5(1): 99.

Munanda, Elvira, and Siti Monalisa. 2021. “Penerapan Algoritma Fp-Growth Pada Data Transaksi Penjualan Untuk Penentuan Tataletak.” 7(2): 173–84.

Nola Ritha, Eka Suswaini, and Wisnu Pebriadi. 2021. “Penerapan Association Rule Menggunakan Algoritma Apriori Pada Poliklinik Penyakit Dalam (Studi Kasus: Rumah Sakit Umum Daerah Bintan).” Jurnal Sains dan Informatika 7(2): 222–30.

Rasyidah, Hasna. 2021. “Analisa Pola Peminjaman Buku Di Perpustakaan Untuk Mengatur Tata Letak Buku Menggunakan Algoritma Fp-Growth.” Techno Xplore?: Jurnal Ilmu Komputer dan Teknologi Informasi 6(1): 27–35.

Retnoningsih, Endang, and Tia Monisya Afriyanti. 2022. “Sistem Rekomendasi Buku Perpustakaan Menggunakan Algoritma Frequent Pattern Growth.” Techno.Com 21(2): 292–310.

Vidiyawati, Henny. 2021. “Volume 3, Nomor 2, Tahun 2014.” 11: 28–55.

Yanto, Robi, and Hendra Di Kesuma. 2019. “Pemanfaatan Data Mining Untuk Penempatan Buku Di Perpustakaan Menggunakan Metode Association Rule.” JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 4(1): 1–10.