Grouping of Books Type Based by Time Borrowing (months) Using Fuzzy C-Means Algorithm. (case Study: Surabaya Public Library)

Abstract

Book lending transactions are the main activities that take place in the Library. With the method of grouping, it will
get what kind of books are most often borrowed. The method used is Fuzzy C-Means. This thesis discusses the
application of Fuzzy C-Means method to classify book data based on lending per month and measure the effectiveness
of the use of methods in the process. This application has been tested by producing 3 clusters and classify the time
(month) where the frequency of borrowing done by visitors in the Library.