TY - GEN
T1 - Cluster Analysis Using K-Means Method to Classify Indonesia Regency/City based on Human Development Index Indicator
AU - Muttaqin, Muhammad Faishal Jundana
AU - Zulkarnain, null
N1 - Funding Information:
This research was supported by Universitas Indonesia. All data were collected and processed in Department of Industrial Engineering, Faculty of Engineering Universitas Indonesia.
Publisher Copyright:
© 2020 ACM.
PY - 2020/6/16
Y1 - 2020/6/16
N2 - Human development progress in Indonesia is characterized by the increasing score of human development index (HDI). HDI is an important indicator in measuring efforts to build the quality and equity of human life. HDI consists of four factors including life expectancy at birth, school continuity, average of school continuity and expenditure per capita. In this research we classify Indonesia regency or city based on the HDI into three categories; high, middle, and low area. We use cluster analysis for the research. Cluster analysis is a class of multivariate techniques that are used to classify objects or cases into relative groups called clusters. One of the cluster analysis methods is k-means. The result of this research are divided into three groups; high area, medium area and low area. The first group or the low area contained 19 cities. The second group or the middle area contained 381 regencies/cities. The third group or the high area contained 114 regencies /cities.
AB - Human development progress in Indonesia is characterized by the increasing score of human development index (HDI). HDI is an important indicator in measuring efforts to build the quality and equity of human life. HDI consists of four factors including life expectancy at birth, school continuity, average of school continuity and expenditure per capita. In this research we classify Indonesia regency or city based on the HDI into three categories; high, middle, and low area. We use cluster analysis for the research. Cluster analysis is a class of multivariate techniques that are used to classify objects or cases into relative groups called clusters. One of the cluster analysis methods is k-means. The result of this research are divided into three groups; high area, medium area and low area. The first group or the low area contained 19 cities. The second group or the middle area contained 381 regencies/cities. The third group or the high area contained 114 regencies /cities.
KW - Cluster Analysis
KW - Human Development Index
KW - K-Means
UR - http://www.scopus.com/inward/record.url?scp=85090983298&partnerID=8YFLogxK
U2 - 10.1145/3400934.3400951
DO - 10.1145/3400934.3400951
M3 - Conference contribution
AN - SCOPUS:85090983298
T3 - ACM International Conference Proceeding Series
SP - 81
EP - 85
BT - Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020 - Proceedings
PB - Association for Computing Machinery
T2 - 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering, APCORISE 2020
Y2 - 16 June 2020
ER -
