Proceedings of the Mathematics and Science Education International Seminar 2021 (MASEIS 2021)

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Fuzzy Subtractive C-Means for Teacher Distribution Analysis

Authors
Nirwana1, *, Arie Vatresia2, Asahar Johar3
1Program Studi Pendidikan Fisika, Universitas Bengkulu, Jl. WR Supratman, Kota Bengkulu, 38122, Indonesia
2Program Studi Informatika, Universitas Bengkulu, Jl. WR Supratman, Kota Bengkulu, 38122, Indonesia
3Program Studi Sistem Informasi, Universitas Bengkulu, Jl. WR Supratman, Kota Bengkulu, 38122, Indonesia
*Corresponding author. Email: nirwana@unib.ac.id
Corresponding Author
Nirwana
Available Online 29 March 2023.
DOI
10.2991/978-2-38476-012-1_31How to use a DOI?
Keywords
Fuzzy Subtractive C-Means; Teacher Distribution Analysis
Abstract

One of factors to maintain the quality of education is a good teacher distribution based on the school resources and requirements. The better balance of the teacher will improve the quality of management education in school. Although there is a data to record the number of teachers in the school, the adequacy value of teacher distribution over the school in Indonesia remain an open question. Here, we showed the implementation of fuzzy subtractive C-Means to see the cluster of teacher distribution over Bengkulu area. This research used new improved method of K-Means clustering that can show a better representation of teacher distribution in Bengkulu. The data used are numbers of the teachers teaching in each school, number of students, numbers of group study, number of teaching hours needed. It was implemented on to 25 secondary schools Bengkulu are to see the cluster developed in the province for 8 subjects. The research clustered the teachers on to 3 cluster with its unique characteristics to see the condition of the distribution in Bengkulu. The validation value of the system was 100% using the black box method. The result shows that 35.5% schools were categorized as cluster 1, 36.5% clustered as cluster 2, and only 28% were categorized in cluster 3.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Mathematics and Science Education International Seminar 2021 (MASEIS 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
29 March 2023
ISBN
10.2991/978-2-38476-012-1_31
ISSN
2352-5398
DOI
10.2991/978-2-38476-012-1_31How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nirwana
AU  - Arie Vatresia
AU  - Asahar Johar
PY  - 2023
DA  - 2023/03/29
TI  - Fuzzy Subtractive C-Means for Teacher Distribution Analysis
BT  - Proceedings of the Mathematics and Science Education International Seminar 2021 (MASEIS 2021)
PB  - Atlantis Press
SP  - 233
EP  - 244
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-012-1_31
DO  - 10.2991/978-2-38476-012-1_31
ID  - 2023
ER  -