IMPLEMENTASI DATA MINING CLUSTERING DALAM MENGUKUR KEPUASAN TERHADAP PELAYANAN PERPUSTAKAAN DI UNIVERSITAS PRIMA INDONESIA

  • Winda Nia Purba Universitas Prima Indonesia
  • Rinaldi Syahputra Universitas Prima Indonesia
  • Fine Reza Nainggolan Universitas Prima Indonesia
  • Gabriel Immanuel Manullang Universitas Prima Indonesia

Abstract

This research aims to measure student satisfaction with Prima Indonesia University library services using data mining methods. Clustering techniques are used to group student satisfaction data based on various attributes such as service quality, resource availability, facility comfort, and interaction with library staff. Data was collected through questionnaires distributed to students. The clustering results revealed significant patterns in student satisfaction, which were analyzed to identify key factors influencing satisfaction levels. These results provide library managers with valuable insights for optimizing services and increasing user satisfaction. The application of clustering data mining has proven effective in helping libraries understand student needs and preferences and plan service improvements more accurately and efficiently.

Published
2024-06-30
How to Cite
PURBA, Winda Nia et al. IMPLEMENTASI DATA MINING CLUSTERING DALAM MENGUKUR KEPUASAN TERHADAP PELAYANAN PERPUSTAKAAN DI UNIVERSITAS PRIMA INDONESIA. Jurnal Tekinkom (Teknik Informasi dan Komputer), [S.l.], v. 7, n. 1, p. 318-324, june 2024. ISSN 2621-3079. Available at: <https://jurnal.murnisadar.ac.id/index.php/Tekinkom/article/view/1213>. Date accessed: 21 july 2024. doi: https://doi.org/10.37600/tekinkom.v7i1.1213.
Section
Articles