Pengelompokan Pendapatan Bersih Usaha Sendiri Provinsi Di Indonesia Berdasarkan Pendidikan, Usia, Dan Lapangan Kerja Dengan K-Means Tahun 2017
Abstract
Indonesia is a country that has high economic potential. The correlation
between each Provinces in Indonesia by the average income of people based on
education and employment is very large because education provides the ability to
develop through the knowledge and skills, while the employment is to use the
knowledge and skills. Mapping an area is used to make a description of the
average net income of workers in Indonesia which is divided into several groups
based on similar characteristics. Grouping by Province based on average net
income of workers in Indonesia aims to distinguish one province from another
based on the variables that exist. One of the well-known or widely used grouping
methods is K-Means. This study aims to determine the results of the grouping and
characteristics in each province in Indonesia based on the average net income of
one month workers trying to own by using the k-means method and to determine
the distribution of mapping provinces in Indonesia based on the average monthly
net income of workers. By dividing provincial groups into 3 clusters, the first
cluster with the lowest income characteristics has 11 Provinces, the second
cluster with the largest income characteristics has 4 provinces, and the third
cluster with moderate income characteristics has 19 Provinces.
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