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

Abstract

Basically, health comes from the word healthy which means well-being
from all diseases, both psychological and physical. Health is a source of
strength for life because of the state of the body that is prosperous and
free from various diseases. Health indicators can be used to determine
the condition of public health in an area. Where there are several
opinions about the variables that make up the Public Health
Indicators. The condition of public health in North Sumatra which is
not homogeneous will make it difficult to develop a healthy city when
conducting monitoring. To eradicate this problem, it is very necessary
to group public health in each city and district. Based on the grouping
requires several methods, the grouping of public health in North
Sumatra in each city and district will be carried out using the K-Means
method where this method is very popular and the method is often
used.The K-Means (Cluster Analysis) method is one of the nonhierarchical
cluster analysis methods that can be used to partition objects Into groups based
on the proximity of characteristics, so that objects that have the same characteristics
are grouped in the same cluster and objects that have similar characteristics. different
groups are grouped into other clusters. The purpose of clustering is to minimize the
objective function set in the clustering process, which basically seeks to minimize
variation within a cluster and maximize variation between clusters.