Identification of Public Library Visitor Profiles using K-means Algorithm based on The Cluster Validity Index

Authors

  • Salnan Ratih Asriningtias Universitas Brawijaya
  • Eka Ratri Noor Wulandari Universitas Brawijaya
  • Myro Boyke Persijn Universitas Brawijaya
  • Novita Rosyida Universitas Brawijaya
  • Bayu Sutawijaya Universitas Brawijaya

DOI:

10.33395/sinkron.v8i4.12901

Keywords:

Between-Cluster Variance, Cluster Validity Index, Cluster Variance, K-Means Clustering, Visitor Profiles, Within-Cluster Variance

Abstract

The existence of a public library in the Gampingan village has a positive impact, such as increasing the literacy culture of the village community. However, the library collection is not sufficient for the needs of visitors.  Therefore, it is necessary to add library collections to fulfill the requirement.  One of the solutions is mapping the library needs of visitors. The mapping can be done by identifying visitor profiles by grouping visitors based on the criteria of age, gender, type of visitor, and category of book library. One of the methods that can be used in the process of grouping visitors based on criteria is to use the K-Means Clustering method. Determining the number of K cluster centers at K-Means Clustering method that are not appropriate will give bad results, it is necessary to test the number of K cluster centers using the Cluster Validity index by measuring the clusters with cluster variance, within-cluster variance, and between-cluster variance. From the grouping process using K-Means Clustering with Cluster Validity index, we get 3 clusters of visitor profiles with a cluster variance value of less than 0.1. This shows that this method was able to identify the visitor profiles with high grouping accuracy values.

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How to Cite

Asriningtias, S. R. ., Wulandari, E. R. N. ., Persijn, M. B., Rosyida, N., & Sutawijaya, B. . (2023). Identification of Public Library Visitor Profiles using K-means Algorithm based on The Cluster Validity Index. Sinkron : Jurnal Dan Penelitian Teknik Informatika, 7(4), 2615-2626. https://doi.org/10.33395/sinkron.v8i4.12901

Issue

Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023

Section

Articles

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Copyright (c) 2023 Salnan Ratih Asriningtias, Eka Ratri Noor Wulandari, Myro Boyke Persijn, Novita Rosyida, Bayu Sutawijaya

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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