TY - JOUR
T1 - Clustering analysis of senior high school in West Java based on educational facilities
AU - Putri, M. A.
AU - Abdullah, S.
N1 - Funding Information:
This work was financially supported by Universitas Indonesia under research grant PITTA B contract number NKB-0665/UN2.R3.1/HKP.05.00/2019.
Publisher Copyright:
© 2021 Journal of Physics: Conference Series.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/1/12
Y1 - 2021/1/12
N2 - 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.
AB - 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.
KW - Categorical clustering
KW - Jaccard coefficient
KW - Robust clustering
KW - Similarity
UR - http://www.scopus.com/inward/record.url?scp=85100787296&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1725/1/012032
DO - 10.1088/1742-6596/1725/1/012032
M3 - Conference article
AN - SCOPUS:85100787296
SN - 1742-6588
VL - 1725
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012032
T2 - 2nd Basic and Applied Sciences Interdisciplinary Conference 2018, BASIC 2018
Y2 - 3 August 2018 through 4 August 2018
ER -