使用2015年高中社会科学国家考试结果对印度尼西亚地区进行聚类

2019 3rd International Conference on Informatics and Computational Sciences (ICICoS) Pub Date : 2019-10-01 DOI:10.1109/ICICoS48119.2019.8982524

R. Ferdhiana, K. Amri, T. Abidin

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引用次数: 1

摘要

本研究旨在以印尼513个地区为研究对象，以印尼高中国家考试(Ujian Nasional)印尼语社会科学专业的成绩为研究对象，绘制各地区的学习成果分布图。这些属性包括6个科目，分别是印尼语、英语、数学、经济学、社会学和地理。使用的聚类方法是Complete-linkage和K-Means。将聚类结果与集群的区域人类发展指数(HDI)进行比较。结果表明，印度尼西亚的地区分为5个集群，联合国和HDI得分之间存在轻微的差异。

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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 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.

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2019 3rd International Conference on Informatics and Computational Sciences (ICICoS)

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