Penerapan Algoritme Prefixspan dan Clospan untuk Mencari Pola Sekuensial pada Data Peminjaman Buku di Perpustakaan IPB

Abstract

Library is an important facility in university. From the library data we can obtain various information, such as patterns of borrowing books by library users. This study aims to determine the sequential patterns of IPB’s library book loan data using two algorithms namely Clospan and Prefixspan. This study used the dataset with the size ranging from 50 to 4.140 and minimum support ranging from 5% to 15%. The experimental results show that the larger dataset and the minimum support used, Clospan algorithm has better performance than Prefixspan. In addition, the results of two sequential pattern algorithms which shows the relationships between the book code 027 (general libraries) with 820 (literature) books, 631 (farm management,agronomy, andhorticulture) books with book code 636 (animal husbandry and breeding in general), and 631 (farm management,agronomy, andhorticulture) to 658 (business management, administration, and commercial organization).