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All Journal Jurnal Informatika dan Teknik Elektro Terapan Information System for Educators and Professionals : Journal of Information System BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Bangkit Indonesia INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Ramatekno Journal of Information Technology and its Utilization
Ricak Agus Setiawan
Politeknik Enjinering Indorama
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Optimization of K Value in Clustering Using Silhouette Score (Case Study: Mall Customers Data) Heti Mulyani; Ricak Agus Setiawan; Halimil Fathi
Journal of Information Technology and Its Utilization Vol 6 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.6.2.5243

Abstract

Clustering is an important phase in data mining. The grouping method commonly used in data mining concepts is using K-Means. Choosing the best value of k in the k-means algorithm can be difficult. In this study the technique used to determine the value of k is the silhouette score. Then, to evaluate the k-means model uses the Davies Bouldin Index (DBI) technique. The best DBI value is close to 0. The parameters used are total consumer income and spending. Based on the results of this study it can be concluded that the silhouette score method can provide a k value with optimal results. For mall customer data of 200 data, the most optimal silhouette score is obtained at K = 5 with a DBI = 0.57.
CLUSTERING THE HAPPINESS LEVEL OF PROVINCES IN INDONESIA USING K-MEANS Heti Mulyani; Ricak Agus Setiawan
Journal of Information Technology and Its Utilization Vol 7 No 2 (2024): December 2024
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.7.2.5854

Abstract

Community welfare is a government goal related to the fulfillment of basic needs, education and employment, which can be measured through the happiness index. The purpose of this research is to cluster provinces in Indonesia based on their resident’s happiness level. The data obtained from the Indonesian Central Bureau of Statistics website. The method used in this research is K-means clustering. There are 2 dimensions used, namely the personal dimension which includes education, employment, household income, health, housing conditions and, assets. The social dimension includes social relations, environmental conditions, security conditions, family harmony, and availability of free time. Based on the results of the study, 2 provincial groups were obtained based on the level of happiness. Testing is done using the Davies Bouldin Index (DBI). The optimal K is obtained, namely K = 2 with a DBI value of = 0.776. The first group is the happiest group including the provinces of North Maluku, Maluku, North Sulawesi, North Kalimantan, Gorontalo, Central Sulawesi, West Papua, Riau Islands, East Kalimantan. The other provinces are in the second group. The unhappiest groups are Banten, Bengkulu and Papua.
Co-Authors Ade Winarni Ahmad, Ilman Fadhilah Alfina Amelia Fitri Sanusi Amin Budi Utomo Annisa Romadloni Anugerah, Rafly Ardiansyah, Fabian Darnis, Rahmi Dwi Nurul Huda Eka Sartika, Eka Fadli Nurhidayat Fathi, Halimil Halimil Fathi Halimil Fathi Halimil Fathi Halimil Fathi Fathi Halimil, Halimil Ilivia Inayah Salsabila Inayah Salsabila Jamaludin Yasykurniaam Jamaludin Yasykurniaam Lufiah Sakinah Lutfiyah Sakinah Sakinah Muhammad Nugraha Muhammad Nugraha Muhammad Rafli Kamal Musawarman, Mr. Muswarman Muswarman Ni Nyoman Emang Smrti Niel Hilwert Simbolon Nopi Rahmawati Rahmawati Nursita Setiawati Nursita Setyawati Rahayu, Widya Andayani Rahmawati, Nopi Rahmi Darnis Raksa, Rizki Abiyu Rifialdi Faturrochman Roeswelly, Fadhly Aulia Sakinah, Lufiah Setyawati, Nursita Shelvy Sofiana Titania Pricillia Tono Widya Andayani Rahayau Wijaya, Muhammad Raffi Yuniar, Dara