Open AccessClustering of Primary and Secondary School in Indonesia Using The Fuzzy C-Means Method Based on School Self-Evaluation With Imputation Data
Author(s) -
Agnes Tuti Rumiati,
Nur Achmey Selgi Harwanti,
Muhammad Rif’an,
Haniza Annuril Chusna,
nstitut Teknologi Sepuluh Nopember
Publication year - 2021
Publication title -
journal of education
Language(s) - English
Resource type - Journals
ISSN - 2616-8383
DOI - 10.53819/81018102t2024
Subject(s) - imputation (statistics) , cluster analysis , missing data , fuzzy logic , cluster grouping , computer science , statistics , mathematics education , psychology , mathematics , artificial intelligence
The National Education Standard is one of the government's efforts to achieve equitable quality education. National Education Standards include eight outcomes, namely Graduation Competency Standards, Content Standards, Process Standards, Assessment Standards, Educators and Educators Standards, Facilities and Infrastructure Standards, Management Standards, and Financing Standards. This research was conducted to classify elementary and junior high schools in Indonesia based on SNP using the Fuzzy C-Means method. Prior to the cluster analysis, the missing value imputation was carried out using regression. The variables that have the lowest median and average value are the standard variables of educators and education personnel, while those with the highest value are the process standards. Based on the results of grouping using C-Means, the optimum number of clusters is four clusters with the most members being cluster 1 (the best cluster). Keywords: Education; Clustering; Fuzzy C-Means; imputation missing value