I Ketut Eddy P, I Ketut
Institut Teknologi Sepuluh Nopember (ITS)

Published : 1 Documents

Found 1 Documents

Combination of Cluster Method for Segmentation of Web Visitors Yuhefizar, Yuhefizar; Santosa, Budi; Eddy P, I Ketut; Suprapto, Yoyon K.
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 1: March 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (147.407 KB) | DOI: 10.12928/telkomnika.v11i1.906


Clustering is one of the important part in web usage miningfor the purpose of segmenting visitors. This action is very important for web personalization orweb modification. In this paper, we perform clustering of the web visitors using a combination of methods of hierarchical and non-hierarchical clustering toward web log data. Hierarchical clustering method used to determine the number of clusters, and non-hierarchical clustering method is used in forming clusters. The stages of cluster analysis are preceded by pre-processing the data and factor analysis. With this approach, the owner of the web is more effective at finding access patterns of web visitors and can have new knowledge about visitors’ segmentation. From the test applied on ITS’s web log data, 6 clusters of web visitors are resulted. Among the 6 cluster, cluster 3 has the biggest number of members. This information can be useful for web management to pay attention on members’ behavioral patterns of the 3rd cluster’s either to make personalization or modification on the web. The test results show the feasibility and efficiency of application of this method.