Proceedings of the 1st International Seminar on Teacher Training and Education, ISTED 2021, 17-18 July 2021, Purwokerto, Indonesia

Research Article

Implementation of Fuzzy C-Means and K-Medoids in Grouping People's Welfare Indicators (Case Study in Riau Province in 2020)

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  • @INPROCEEDINGS{10.4108/eai.17-7-2021.2312396,
        author={Safira Naila Farafisha and Achmad Fauzan and Afdelia Novianti},
        title={Implementation of Fuzzy C-Means and K-Medoids in Grouping People's Welfare Indicators (Case Study in Riau Province in 2020)},
        proceedings={Proceedings of the 1st International Seminar on Teacher Training and Education, ISTED 2021, 17-18 July 2021, Purwokerto, Indonesia},
        publisher={EAI},
        proceedings_a={ISTED},
        year={2021},
        month={10},
        keywords={riau province clustering fuzzy c-means k-medoids variance},
        doi={10.4108/eai.17-7-2021.2312396}
    }
    
  • Safira Naila Farafisha
    Achmad Fauzan
    Afdelia Novianti
    Year: 2021
    Implementation of Fuzzy C-Means and K-Medoids in Grouping People's Welfare Indicators (Case Study in Riau Province in 2020)
    ISTED
    EAI
    DOI: 10.4108/eai.17-7-2021.2312396
Safira Naila Farafisha1, Achmad Fauzan2,*, Afdelia Novianti1
  • 1: Statistics Department, Faculty of Mathematics and Natural Science, Universitas Islam Indonesia, Yogyakarta, Indonesia
  • 2: Statistics Disaster Management Laboratory, Statistics Department, Faculty of Mathematics and Natural Science, Universitas Islam Indonesia, Yogyakarta, Indonesia
*Contact email: achmadfauzan@uii.ac.id

Abstract

Riau Province is one of the provinces that has social inequality in its society. This is due to the uneven distribution of development carried out in remote areas that are difficult for the government to access. Therefore, the researchers grouped districts in Riau Province with a low welfare index by clustering using Fuzzy C-Means and K-Medoids methods. Clustering is a method of grouping objects or events into groups based on their similarity values. Later, a comparison will be made between the Fuzzy C-Means and K-Medoids methods to get the best result on the Riau Province community welfare data in 2020. From the analysis that has been carried out, there is a grouping of data into 3 clusters for Fuzzy C-Means method and 2 clusters for K-Medoids. Based on the result of the variances comparison of the two methods, namely Fuzzy C-Means and K-Medoids, each of which has a variance of 0.375681 and 3.248903, it can be concluded that the best cluster method for this case is Fuzzy C-Means. Based on the results of clustering on districts/cities by Fuzzy C-Means method can be applied as a reference by related parties to improve the welfare of the people of the Riau province.