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All Journal Journal of Emerging Information Systems and Business Intelligence (JEISBI)
PADWASIH, ELLEN MARIA
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Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Library & Information Science

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Analysis of Book Borrowing Patterns Using the Apriori Algorithm (Case Study: East Java Provincial Library and Archives Service) PADWASIH, ELLEN MARIA; Indriyanti, Aries Dwi
Journal of Emerging Information Systems and Business Intelligence (JEISBI) Vol. 6 No. 3 (2025): Vol. 06 Issue 03
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jeisbi.v6i3.65841

Abstract

This study analyzes book borrowing patterns at the East Java Provincial Library and Archives Service using the Apriori algorithm. Data from borrowing transactions between January 16 and March 10, 2023, were analyzed to identify relationships between book titles. This data mining study involves data preprocessing, checking for missing values and duplicates, as well as transforming data into a binary matrix. The analysis results show that item combinations with a minimum support value of 1.2% can be identified. Association rules such as AC, AE → AG have a support value of 0.012 and a confidence level of 40.9%. Further analysis reveals more complex patterns, such as AE, AJ → AC, with a confidence level of 57.1%. This research contributes to understanding book borrowing behavior and offers solutions to improve library management efficiency, such as book recommendation systems and more appropriate collection arrangement strategies. Thus, libraries can develop services that are more responsive to community needs.
Co-Authors Aries Dwi Indriyanti, Aries Dwi