Open AccessUtilization of data mining for placement of books in the library using the Apriori method
Author(s) -
Rahmat Robi Waliyansyah,
Mega Novita,
Nugroho Dwi Saputro
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1869/1/012088
Subject(s) - apriori algorithm , a priori and a posteriori , association rule learning , computer science , data mining , process (computing) , information retrieval , programming language , philosophy , epistemology
The Apriori Algorithm is an algorithm that is well known for performing frequent itemset searches using the association rule technique. The Apriori algorithm uses knowledge about the previously known frequent itemset to process data related to borrowing books in the library to be processed into useful information. This study uses a priori algorithm method for grouping books at the PGRI University Library in Semarang based on trends that appear together in a library activity visit. By gaining knowledge from this algorithm, it can be used as a reference for the PGRI University Library in Semarang in placing book collections.