Classification of provinces in Indonesia based on 2014 presidential election participation levels using fuzzy c-means

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Abstract

The presidential and vice presidential elections held every five years is a benchmark for democracy in Indonesia. However, the expected level of participation cannot be achieved. Election socialization as an effort to increase the level of participation in each province is different because the level of participation in each province is also varied. Therefore, there is a need of regional grouping based on the level of electoral participation in order to facilitate the electoral socialization process. This study uses fuzzy c-means with two attributes, namely the number of voters and the number of voting rights users. All provinces in Indonesia are classified into two clusters. If the provincial participation rate is below the national participation standard (69.58%) then the province is considered to have a low participation rate and vice versa. Therefore, the first cluster constitutes provinces with high electoral participation rate and the second cluster constitutes provinces with low electoral participation rate. The results of the classification are 9 provinces in first cluster and 24 provinces in the second cluster.

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Yuswatun, A., & Abadi, A. M. (2019). Classification of provinces in Indonesia based on 2014 presidential election participation levels using fuzzy c-means. In Journal of Physics: Conference Series (Vol. 1320). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1320/1/012022

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