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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika
Persijn, Myro Boyke
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Computer Science & IT

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Identification of Public Library Visitor Profiles using K-means Algorithm based on The Cluster Validity Index Asriningtias, Salnan Ratih; Wulandari, Eka Ratri Noor; Persijn, Myro Boyke; Rosyida, Novita; Sutawijaya, Bayu
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.12901

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.
Co-Authors Eka Ratri Noor Wulandari Rosyida, Novita Salnan Ratih Asriningtias, Salnan Ratih Sutawijaya, Bayu