Clustering of Districts in Indonesia using the 2015 High School Social Sciences National Examination Results

This study aims to cluster 513 districts in Indonesia using the results of High School National Examination or "Ujian Nasional (UN)" in Indonesian language majoring in social sciences to map the learning outcomes in the districts. The attributes consist of 6 subjects which are Bahasa Indon...

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Bibliographic Details
Published in2019 3rd International Conference on Informatics and Computational Sciences (ICICoS) pp. 1 - 4
Main Authors Ferdhiana, Ridha, Amri, Khairul, Abidin, Taufik Fuadi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
clustering
Clustering methods
complete-linkage
Economics
Education
Geography
Indexes
Informatics
k-means
Mathematics
national examination
Sociology
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Summary:This study aims to cluster 513 districts in Indonesia using the results of High School National Examination or "Ujian Nasional (UN)" in Indonesian language majoring in social sciences to map the learning outcomes in the districts. The attributes consist of 6 subjects which are Bahasa Indonesia, English, Mathematics, Economics, Sociology, and Geography. The clustering methods used are Complete-linkage and K-Means. The clustering results are compared with the District Human Development Index (HDI) of the clusters. The results show that the districts in Indonesia are grouped into 5 clusters and there is a slight dissimilarity between the scores of UN and HDI.
DOI:10.1109/ICICoS48119.2019.8982524