
Clustering analysis of senior high school in West Java based on educational facilities
Author(s) -
Mesi Anggia Putri,
Sarini Abdullah
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1725/1/012032
Subject(s) - cluster analysis , christian ministry , java , cluster (spacecraft) , categorical variable , government (linguistics) , distribution (mathematics) , school education , computer science , geography , psychology , political science , mathematics , pedagogy , operating system , artificial intelligence , mathematical analysis , linguistics , philosophy , machine learning , law
The problem of education in senior high school remains. One of the roots of the problem is the lack of educational facilities. The government has responded to this case by giving the state budget (APBN) for education. Nevertheless, the large number of senior high schools in Indonesia is one of the barriers to efficient distribution of APBN funds. Thus, clustering analysis of senior high school facilities in Indonesia especially in West Java is expected to be a solution. The number of observations is 13,486 with nine categorical variables recorded on a website of the Ministry of Education and Culture in August 2019. The method used is Robust Clustering Using Link (ROCK). To get a clearer profile of the clusters, we used ROCK method modified with Nested Clustering. The results of this study indicate that 14 clusters were formed and have their profiles. Cluster 3 is a relatively good cluster while cluster 1a is a relatively poor cluster. Clusters representing poor facilities were found to be dominant in West Java Province.