Fuzzy Adaptive Clustering Untuk Mengetahui Pengaruh Faktor Lingkungan Hidup Terhadap Tingkat Keluhan Kesehatan

Abstract

Health is something that is very valuable for a person. Along with the development of life, there are more and more various health complaints. The purpose of this study was to determine the effect of environmental factors on the level of health complaints. The data analysis method uses a classification method, namely clustering using Fuzzy Adaptive Clustering (FAC). In this case, the number of clusters is determined, namely 3 clusters. Environmental factors with the largest average percentage value in cluster 1, namely ownership of garden or land infiltration and waste sorting behavior, and environmental factors with the smallest percentage in cluster 1 are porous infiltration holes, presence of perennials, and the habit of using used water for purposes other. Environmental factors with the largest average percentage in cluster 2, namely the presence of perennials and porous infiltration holes and environmental factors with the smallest percentage in cluster 2 are ownership of motorized vehicles, garden/soil infiltration and waste sorting treatment. While environmental factors with the largest average percentage in cluster 3 are infiltration wells, the habit of using used water for other purposes and ownership of motorized vehicles.