Proceedings of the 2nd International Conference on Education, ICE 2019, 27-28 September 2019, Universitas Muhammadiyah Purworejo, Indonesia

Research Article

Clustering School Operational Aid Using Fuzzy Cluster Means Method

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  • @INPROCEEDINGS{10.4108/eai.28-9-2019.2291052,
    author={Rochdi  Wasono and Dwi Haryo Ismunarti},
    title={Clustering School Operational Aid  Using Fuzzy Cluster 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={clustering fuzzy c means school operational aid (bos) funds},
    doi={10.4108/eai.28-9-2019.2291052}
}
  • Rochdi Wasono
    Dwi Haryo Ismunarti
    Year: 2020
    Clustering School Operational Aid Using Fuzzy Cluster Means Method
    ICE
    EAI
    DOI: 10.4108/eai.28-9-2019.2291052
Rochdi Wasono1,*, Dwi Haryo Ismunarti2
  • 1: Muhammadiyah University of Semarang
  • 2: Diponegoro University of Semarang
*Contact email: rochdi@unimus.ac.id

Abstract

Clustering is needed to classify the amount of School Operational Aid (BOS)funds with other influential variables with the aim as the consideration in making policy on the distribution and amount of School Operational Aid funds. The method of Fuzzy Cluster Means was used because it has the advantage of always converging or being able to cluster to the degree of quadratic convergence. The variables used in this study were the School Operational Aid (BOS) funds, total coaching costs, and total regency/ city management costs in Central Java Province. The best result of the clustering process was to use cluster 4 with a value of Root Mean Square Error (RMSE) of 0.335.

Keywords
clustering fuzzy c means school operational aid (bos) funds
Published
2020-02-05
Publisher
EAI
http://dx.doi.org/10.4108/eai.28-9-2019.2291052
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