• Muchamad Iqbal Institut Teknologi dan Bisnis Bina Sarana Global
  • M. Bucci Ryando Institut Teknologi dan Bisnis Bina Sarana Global
  • Triono Triono Institut Teknologi dan Bisnis Bina Sarana Global
  • Nunung Nurmaesah Institut Teknologi dan Bisnis Bina Sarana Global
Keywords: Agglomerative Hierarchical Clustering, Single Linkage, Average Linkage, Silhouette Score, Calinski-Harabasz Index, Prospective New Students


Global Institute of Technology and Business is one of the private universities focusing on computer science. In animating the survival of higher education, the marketing division is required to find as many new students as possible as well as the increasingly tight competition of private universities in finding new students for registration. Not being on target in determining the target market becomes a very dangerous problem in the survival of private colleges. The purpose of this research is to get the right target market from the clustering results of new students and get characteristics from prospective new students and help the marketing division in achieving the registration target. This research using Agglomerative Hierarchical Clustering method with single linkage and average linkage algorithm and testing was done using Silhouette Score and Calinski Harabasz Index. Learning the characteristics of clusters takes 7 clusters to study. The result of learning the characteristics of the cluster is to get cluster 6 as a cluster with characteristics with good results.


B. Everitt and Wiley, 2011, “Cluster Analysis” .Wiley InterScience.

Chapman, Peter et al. 2000. “Crisp-Dm.” SPSS inc 78: 1–78.

Dani, Andrea Tri Rian, Sri Wahyuningsih, and Nanda Arista Rizki. 2019. “Penerapan Hierarchical Clustering Metode Agglomerative Pada Data Runtun Waktu.” Jambura Journal of Mathematics 1(2): 64–78.

Kansal, Tushar, Suraj Bahuguna, Vishal Singh, and Tanupriya Choudhury. 2018. “Customer Segmentation Using K-Means Clustering.” Proceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018: 135–39.

Karthiga, R., G. Usha, N. Raju, and K. Narasimhan. 2021. “Transfer Learning Based Breast Cancer Classification Using One-Hot Encoding Technique.” Proceedings - International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021: 115–20.

Lukasik, Szymon, Piotr A. Kowalski, Malgorzata Charytanowicz, and Piotr Kulczycki. 2016. “Clustering Using Flower Pollination Algorithm and Calinski-Harabasz Index.” 2016 IEEE Congress on Evolutionary Computation, CEC 2016 (1): 2724–28.

Nugraha, Adhitya et al. 2018. “Determining the Senior High School Major Using Agglomerative Hierarchial Clustering Algorithm.” Proceedings - 2018 International Seminar on Application for Technology of Information and Communication: Creative Technology for Human Life, iSemantic 2018: 225–28.

Schäfer, Franziska, Christian Zeiselmair, and Jonas Becker. 2021. “Synthesizing CRISP-DM and Quality Management: A Data Mining Approach for Production Processes.” 2021 IEEE International Conference on Technology Management, Operations and Decisions, ICTMOD 2021: 190–95.

Shahapure, Ketan Rajshekhar, and Charles Nicholas. 2020. “Cluster Quality Analysis Using Silhouette Score.” Proceedings - 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, DSAA 2020: 747–48.

Vijaya, Vijaya, Shweta Sharma, and Neha Batra. 2019. “Comparative Study of Single Linkage , Complete Linkage , and Ward Method of Agglomerative Clustering.” 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon): 568–73.
How to Cite
Iqbal, M., Ryando, M. B., Triono, T., & Nurmaesah, N. (2022). CLUSTERING OF PROSPECTIVE NEW STUDENTS USING AGGLOMERATIVE HIERARCHICAL CLUSTERING. Proceeding International Conference on Information Technology, Multimedia, Architecture, Design, and E-Business, 2, 183-192. Retrieved from
Abstract dilihat 487 kali
FULL TEXT diunduh 206 kali