Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)

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Implementation of the Gath-Geva Clustering Algorithm in the Clustering Districts/Cities in Central Sulawesi Based on Public Health Development Indicators

Authors
Nichen Grasya Peso’a1, *, Rais1, Nurul Fiskia Gamayanti1
1Department of Statistics Faculty of Mathematical and Natural Sciences, Tadulako University, Jl. Soekarno Hatta KM.9, Palu, 94118, Indonesia
*Corresponding author. Email: nichenpesoa26@gmail.com
Corresponding Author
Nichen Grasya Peso’a
Available Online 22 August 2023.
DOI
10.2991/978-94-6463-228-6_36How to use a DOI?
Keywords
Clustering; Gath-Geva Clustering; Public Health Development; Kwon
Abstract

Public health development indicators are a health indicator set that can describe health problems. The health indicators set can, directly and indirectly, increase longevity and healthy life expectancy. Central Sulawesi was listed as the sixth province in Indonesia with the lowest public health development score. In order to develop an equitable and appropriate health development strategy in each region in Central Sulawesi, this can be done by clustering the districts/cities in central Sulawesi on the basis of public health development indicators using the Gath-Geva Clustering method. The algorithm of the Gath-Geva Clustering method uses a distance norm based on Fuzzy Maximum Likelihood Estimation (FMLE) with an exponential aspect, which allows the method to converge faster and thus reduce the number of iterations. Using the validity index Kwon, rank/weight m = 2, threshold ε = 0.0005, and the iterations maximum number is 1000, we obtained that the optimal number of clusters is 3 clusters, and the attributes of each cluster vary according to the development index of public health. Cluster 1 is a low public health development cluster, cluster 2 is a medium public health development cluster, and Cluster3 is a high public health development cluster.

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 4th International Seminar on Science and Technology (ISST 2022)
Series
Advances in Physics Research
Publication Date
22 August 2023
ISBN
978-94-6463-228-6
ISSN
2352-541X
DOI
10.2991/978-94-6463-228-6_36How 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  - Nichen Grasya Peso’a
AU  - Rais
AU  - Nurul Fiskia Gamayanti
PY  - 2023
DA  - 2023/08/22
TI  - Implementation of the Gath-Geva Clustering Algorithm in the Clustering Districts/Cities in Central Sulawesi Based on Public Health Development Indicators
BT  - Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)
PB  - Atlantis Press
SP  - 320
EP  - 328
SN  - 2352-541X
UR  - https://doi.org/10.2991/978-94-6463-228-6_36
DO  - 10.2991/978-94-6463-228-6_36
ID  - Peso’a2023
ER  -