| dc.description.abstract |
This research aims to apply the K-means algorithm to analyze the reading interests of students in the library of North Sumatra Province, with the increasing number of books and resources in the library, understanding reader preferences has become crucial for enhancing services and collections. The K-means method was chosen for its ability to cluster data based on similar characteristics. Data was collected from the library's visitor information database in North Sumatra Province. The analysis aims to observe, identify, and cluster reading interest patterns among students, as well as to determine whether there has been an increase or decrease in students' reading interest. The findings are expected to assist library managers in designing promotional programs and collections that better meet reader needs, thereby improving user visit rates and satisfaction.
Keywords : K-means, reading interests, students, libraries, data analysis
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