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

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...

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Bibliographic Details
Main Authors: Amalia Anjani Arifiyanti, Farhan Setiyo Darusman, Brahmantio Widyo Trenggono
Format: Article
Language:English
Published: Informatics Department, Faculty of Computer Science Bina Darma University 2022-09-01
Series:Journal of Information Systems and Informatics
Subjects:
Online Access:https://journal-isi.org/index.php/isi/article/view/315