Population Density Cluster Analysis in DKI Jakarta Province Using K-Means Algorithm

• Published in: Journal of information systems and informatics (Palembang.Online) Vol. 4; no. 3; pp. 772 - 783
• Main Authors: Arifiyanti, Amalia Anjani, Darusman, Farhan Setiyo, Trenggono, Brahmantio Widyo
• Format: Journal Article
• Language: English
• Published: Informatics Department, Faculty of Computer Science Bina Darma University 02.09.2022
• Subjects: clustering, data mining, population density, k-means

This study aims to analyze clusters based on the area and population density of the area and population density of the area in DKI Jakarta Province in 2015 using the data mining method by clustering as the first step in planning for population equality. The subject of analysis in this study is a vil...