Penerapan Clustering K-Means Untuk Mendukung Pengelolaan Koleksi Pada Perpustakaan Fakultas Teknik Universitas Negeri Gorontalo

One of the facility units that acts as a supporter student learning in university is library. The library place where there are various collections libraries can enrich knowledge visitors. Thus, management additional important supporting this. Currently, addition book UNG Engineering Faculty Library only based on references from statistical data best-selling books, lecturer recommendations and latest books without considering which interest to students. This have negative impact if categories or types less desirable read cause problems service side financial losses Moving this problem, K-Means clustering method will be applied classify reading visitors case variables used grouping divided according origin majors by category stock, number borrowed read. expected recommendation for managers managing