Retno Tri Vulandari1, Kumaratih Sandradewi2, Bebas
Widada3,Sapto Nugroho4
124Department of Informatics, STMIK Sinar Nusantara
3Department of Information System, STMIK Sinar Nusantara
ABSTRACT
Human development progress in Central Java.
It is characterized by a continued rise in the human development index (HDI) of
Central Java. HDI is an important indicator for measuring success in the effort
to build the quality of human life. HDI explains how residents can access the
development results in obtaining a long and healthy life, knowledge, education,
decent standard of living and so on. HDI is affected by four factors, namely:
life expectancy, expected years of schooling, means years of schooling, and
expenditure per capita. Currently the Central Bureau of statistics do grouping
HDI, using calculation formula then known how the value HDI each county or city
in Central Java. In this research will be made to the classification of county
or city in Central Java based on the HDI be high, middle, and under estimate
area.
In this research used cluster analysis.
Cluster analysis is a multivariate technique which has the main purpose to
classify objects based on their characteristics. Cluster analysis classifies
the object, so that each object that has properties similar to be clumped into
a single cluster (Group). One of the cluster analysis method is K-Means. The
result of this research, there are three group, high estimate area, middle
estimate area, and under estimate area. The first group or the under estimate
area contained 12 members, namely Cilacap, Purbalingga, Purworejo, Wonosobo, Grobogan,
Blora, Rembang, Pati, Jepara, Demak, Pekalongan, and Brebes. The second group
or the middle estimate area contained 8 members, namely Banjarnegara, Kebumen,
Magelang, Temanggung, Wonogiri, Batang, Pemalang, and Tegal. The third group or
the high estimate area contained 11 members, namely Banyumas, Kudus, Boyolali,
Klaten, Sukoharjo, Karanganyar, Sragen, Semarang, Kendal, Surakarta, and
Salatiga.
Keywords: Inverse
Distance Weighted, K-Means, The Human Development Index.
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