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Journal : TELKOMNIKA Telecommunication, Computing, Electronics and Control

Combination of Hierarchical and Non-Hierarchical Cluster Method for Segmentation of Web Visitors

TELKOMNIKA Telecommunication, Computing, Electronics and Control Vol 11, No 1: March 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Original Source | Check in Google Scholar

Abstract

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 ITSs 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 clusters either to make personalization or modification on the web. The test results show the feasibility and efficiency of application of this method.

Combination of Cluster Method for Segmentation of Web Visitors

TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 11, No 1: March 2013
Publisher : Universitas Ahmad Dahlan

Show Abstract | Original Source | Check in Google Scholar

Abstract

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.

Co-Authors Abdurrahman, Ahmad Fauzan Abiyoga, Gerald Arsa Adhiyaksa Ade Lia D. Safitri Adrianus Yosep Ago, Adrianus Yosep Agus Sasmito Aribowo Ahmad Warsun Ali Ridho Barakbah Andri S, Andri Andri Sukeksi Anin, Vitry Agrida Anissa Wulandari, Anissa Antariksa Antariksa Ari Yanuar Ridwan, Ari Yanuar Ari Yanuar, Ari Bambang Utoyo Boyke Frahmana, Boyke Budi Sulistyo Budianto, Anwar Budiyono Budiyono Buru, Romika Jibrael Dani Satyawan Deniswara, Cindy Dessyanto Boedi P Destaria Madya Verawaty, Destaria Madya Dida Diah Damayanti Didi Setya, Didi Didik Sumanto Dinda Sekar Putri, Dinda Sekar Djoko Legono Dwi Sulistyoningsih Dwiska Aini Nurrahma, Dwiska Aini Eka Fitasari Eka Puji Hastuti, Eka Puji Ekawati, Fitri Eko Prasetyo Nugroho Endang Purwaningsih Erik Kurniawan, Erik Ethica, Stalls Norma Fajar Kurnia Fani Yayuk Supomo Fauzia Hulopi Gita Purnama Sari, Gita Purnama Hairurraziqin Hairurraziqin, Hairurraziqin Hananta, Yan’s Dianaga Hani Purnamasari, Hani Hariyadi Hariyadi Hariyana, Bambang Helmi Helmi Henna Ria Sunoko, Henna Ria Henna Rya Sunoko Henna Rya Sunoko Herry Sofyan Hertanto Wahyu Subagio Hertanto Wahyu Subagyo Heru Cahya Rustamaji I Ketut Eddy P, I Ketut I Ketut Eddy P. I Made Tasma Ial Irwan Arahman, Ial Irwan Indraloka, Dwi Smaradahana Irfan Suliansyah Jerrystama Abipradja, Jerrystama Juwairiah Juwairiah Karuniawati, Fenty Kgs Ahmadi Khoiriyatuinnisa, Khoiriyatunnisa Kisdjamiatun RMD Lanang, Fransiskus Lisa Dwi Wulandari Lisyani S Lisyani Suratmo, Lisyani Maharani, Dias Mangaras Yanu Florestiyanto, Mangaras Yanu Markus Priharjanto, Markus Maya Putri Arumsari, Maya Putri Mona Nabilah, Mona Muhamad Yunus Muhammad Riski, Muhammad Nanda, Angelica Mega Ni Putu Aniek Mahayani, Ni Putu Aniek Niken Puruhita Noverita Rochsitasari, Noverita Nugroho, Febri Satrio Nurdiansyah Rudi, Nurdiansyah Oliver Samuel Simanjuntak Perwira, Rifki Pramono Sasongko Prasetyo, Muhammad Bagus Prasetyo, Nanda Isdian Putra, Ludfie Hardian Ragil Saptaningtyas, Ragil Rahmat Adeputra, Rahmat Ranny Wahyu Ningrat Ratna Wulan Sari Ratomesang, Richardo Pelipus Boru Rejeki, VG. Sri Riangsari, M.F. Devita Rifki Indra Perwira Rifky Satya Wicaksono, Rifky Satya Rini Megawati Rizalditya, Putra Bintang Rr. M.I. Retno Susilorini Rudi Theo Satrio, Rudi Theo Rusdiana, Endang Sihombing, Ezra Siti Aisah Sofi Fauziah, Sofi Sofyan Cholid, Sofyan Sri Darmawati Sri Subanti Stefanus Eko Wiratno, Stefanus Sugiyono Sugiyono Suhartono Suhartono SUHARYANTO SUHARYANTO Suliana, Gatut Sumiyarti Sumiyarti, Sumiyarti Susilorini, Rr. M. I. Retno Susilorini, Rr.M.I Rretno Susilorini, Rr.M.I. Retno Tahta Alfina Tatty Ermin Taus, Dominika Sone Tiananda Widyarini Timba, Margaretha Kahi Umar Affandi Waenah . . Wahon, David Dolu Aman Wahyu Ari Widiyastuti, Wahyu Ari Wijiati, Irma Wilis Kaswidjanti Wirawan Wirawan Yan Indra Putra, Yan Indra Yoyon K. Suprapto Yoyon K. Suprapto Yuhefizar Yuhefizar Yurinda Amalia, Yurinda