Library Book Modeling Data Using the Association Rule Method with Apriori Algorithm in determining Book Placement and Analysis of Book Loans

Abstract

The library is one place that is able to provide information for the means of teaching and learning activities. The existence of daily operational activities in the library can increase the amount of data borrowing books. The more data, if not processed it becomes useless. Therefore, a data modeling was made to process book borrowing data. The purpose of this study was to implement the association rule method with a priori algorithm for modeling data on book borrowing at the Asy'ari Hasyim University library. From the application of this method, it will be used to recommend book placement and analyze book borrowing. This study produced an application that was used to determine associative rules between one book and another. From the resulting modeling, the calculation process is then carried out so that it can be known to borrow the same book every day. The results of this study percentage of support value and confidence value from the results of predictions with the association rule method with a priori algorithm on 600 data of borrowing transactions support values obtained an average of 6%, while for confidence values obtained an average of 67% - 100%.