Clasification System of Library Book Based on Similarity of The Book Title Using K-Means Method (case Study Library of Bhayangkara Surabaya)

Abstract

In the grouping of book data in the library of Universitas Bhayangkara Surabaya at this time, the grouping is still
based on the title and the existing field. So that resulted in the laying of some books whose title is not in accordance
with the field of place. To facilitate the grouping of library books, in this research will provide a solution by doing
the grouping of books based on the similarity of the title using K-Means method with the distance dissmilarity. The
data are grouped a number of 500 titles in the library of Bhayangkara University Surabaya. The data will be
processed through the Pre-processing process first of each book title by using the Information Retrieval System
which results in the basic word. The basic word that will be used as a feature in the process of grouping so that can
be known similarity. The result of the research is that it can be concluded that the application of Library Book
Grouping System Based on Similarity of Book Title Using K-Means Method (Case Study of Bhayangkara Library
Surabaya) is suitable for data that has been specified on each title. And some processes there are clusters that are
always consistent in putting the book data in accordance with the similarity. Of all test results that have the best
silhouette value is on using the value of K = 7, ie in the process to 1 with the value of silhouette = 0.2221