Journal of Mathematics and Scientific Computing With Applications
Vol. 1 No. 2 (2020)

IMPLEMENTATION OF K-MEANS METHOD IN POPULATION GROUPING BASED ON PUBLIC HEALTH INDICATORS OF NORTH SUMATR

Nur Lela (Universitas Islam Negeri Malang, Indonesia)
Nurleli (Universitas Islam Negeri Malang, Indonesia)
Yolanda Novita Zebua (Universitas Islam Negeri Malang, Indonesia)
Mukminah Mardiah (Universitas Islam Negeri Malang, Indonesia)
Putri Rahma Novia (Universitas Islam Negeri Malang, Indonesia)



Article Info

Publish Date
09 Jul 2021

Abstract

Basically, health comes from the word healthy which means well-beingfrom all diseases, both psychological and physical. Health is a source ofstrength for life because of the state of the body that is prosperous andfree from various diseases. Health indicators can be used to determinethe condition of public health in an area. Where there are severalopinions about the variables that make up the Public HealthIndicators. The condition of public health in North Sumatra which isnot homogeneous will make it difficult to develop a healthy city whenconducting monitoring. To eradicate this problem, it is very necessaryto group public health in each city and district. Based on the groupingrequires several methods, the grouping of public health in NorthSumatra in each city and district will be carried out using the K-Meansmethod where this method is very popular and the method is oftenused.The K-Means (Cluster Analysis) method is one of the nonhierarchicalcluster analysis methods that can be used to partition objects Into groups basedon the proximity of characteristics, so that objects that have the same characteristicsare grouped in the same cluster and objects that have similar characteristics. differentgroups are grouped into other clusters. The purpose of clustering is to minimize theobjective function set in the clustering process, which basically seeks to minimizevariation within a cluster and maximize variation between clusters.

Copyrights © 2021






Journal Info

Abbrev

jmscowa

Publisher

Subject

Mathematics

Description

Journal of Mathematics and Scientific Computing With Applications is a broad-based journal covering all branches of computational or applied mathematics with special encouragement to researchers in theoretical computer science and mathematical computing. It covers all major areas, such as numerical ...