Research Article
ClusteringThe Level Of Education Quality In The Central Java ProvinceUsing C-Means Method
@INPROCEEDINGS{10.4108/eai.28-9-2019.2291056, author={Prizka Rismawati Arum and Indah Manfaati Nur}, title={ClusteringThe Level Of Education Quality In The Central Java ProvinceUsing C-Means Method}, proceedings={Proceedings of the 2nd International Conference on Education, ICE 2019, 27-28 September 2019, Universitas Muhammadiyah Purworejo, Indonesia}, publisher={EAI}, proceedings_a={ICE}, year={2020}, month={2}, keywords={c-means cluster analysis central java city district education quality}, doi={10.4108/eai.28-9-2019.2291056} }
- Prizka Rismawati Arum
Indah Manfaati Nur
Year: 2020
ClusteringThe Level Of Education Quality In The Central Java ProvinceUsing C-Means Method
ICE
EAI
DOI: 10.4108/eai.28-9-2019.2291056
Abstract
Education is one of the important things in building a nation to create knowledgeable people. The better the quality of education of a nation, the better the quality of the nation. In Indonesia, the level of education quality is prioritized because education has a very important role in improving the quality of human resources. In measuring the level of education quality, the components analyzed include elementary school dropout rates, junior high school dropout rates, high school dropout rates and an average length of schooling in a district/city. This study has a purpose to clustering the level ofeducation quality from 35 districts/cities in Central Java Province based on 3 categories. Therefore, researchers use the c-means method which is one of the methods in statistics that used to group data into several predetermined groups. From the result of the analysis, it was found that group 1 was a district /city with a good quality level of education consisting of 13 districts/cities, group 2 was a district/city level with a fairly good quality of education consisting of 9 districts/cities, and group 3 was a district/city with a poor quality level of education consisting of 13 districts/cities.