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All Journal Scientific Journal of Informatics Journal of Economic Education J-SAKTI (Jurnal Sains Komputer dan Informatika) Nusantara Science and Technology Proceedings J-SAKTI (Jurnal Sains Komputer dan Informatika) Recursive Journal of Informatics International Journal of Active Learning Indonesian Journal of Advocacy and Legal Services Journal of Advances in Information Systems and Technology
Anggyi Trisnawan Putra
Universitas Negeri Semarang
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

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Implementasi Algoritma Klasterisasi K-Medoids untuk Segmentasi Pengguna E-Ujian.Com Putra, Anggyi Trisnawan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.528

Abstract

User behaviour management and analysis is very important in business. A good marketing strategy needs to be done so that the loyalty of old users is maintained. This can be initiated by segmenting users so that a good marketing strategy can be formulated. Customer segmentation can be done with the help of one of the data mining methods,  which is clustering. In this study, k-medoids algorithm is used to cluster e-ujian.com users based on the behavioral data of each user. The first step will be analyzing data attributes that can be used. Next, the clustering process was carried out with the experimentally determined value of k. Finally, the cluster results will be evaluated using the Davies Bouldin Index (DBI) to determine the best number of clusters. The results showed that the value of k = 4 became the optimal number of clusters with a DBI value of 3,017.
Co-Authors Adityatama, Resta Akhmad Munawar Alamsyah - Alfath Yanuarto Amaliyah, Tazkiyatun Aeni Andika Enggal Ramadhan Avi Budi Setiawan Bhekti Kumorowati, Bhekti Cahya Wulandari Dinar Diaz Septian Emha, Zidney Ilma Fazaada Endang Sugiharti, Endang Hassan, Muhamad Sayuti Ilham Insani, Muhammad Ilham Insani, Muhammad Martanto Setyo Husodo Much Aziz Muslim Muh. Sholeh Priliani, Erlin Mega Priliani, Erlin Mega Putra, Deonisius Germandy Cahaya S.Pd. M Kes I Ketut Sudiana . Sugianto Sugianto Sutarti, Sri Sutarti, Sri uminar Vivi Wulandari Wicaksana, Tania Widyastuti, Ariyani