Profiling the Inequality of School Water, Sanitation, and Hygiene Facilities Among Indonesian Regions Using Cluster Analysis

D. B. Unggul, Khomaria Nurul Ainy, R. Jannah
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Abstract

Introduction: Humans rely heavily on Water, Sanitation, and Hygiene (WASH) facilities. Goal 6 of the Sustainable Development Goals (SDGs) emphasizes ensuring communities possess universal access to clean water and sanitation. Because WASH is tremendously crucial in schools, the objective of this study is to provide a comprehensive profile of regional inequalities based on the availability of WASH indicators through cluster analysis. Methods: This study administered cross-sectional data from 514 regencies/cities in Indonesia with three variables, i.e. percentage of access to water, sanitation, and hygiene at public and private elementary schools. The profiling was performed by conducting K-means clustering method. Results and Discussion: Public and private schools were examined separately as the p-value in the difference test was less than 0.05. In accordance with the silhouette plot, the optimal number of clusters was two for each category. For the public-school category, the number of regencies/cities in Cluster 1 was 380 regencies/cities and 134 regencies/cities were in Cluster 2. For the private school category, Cluster 1 incorporated 418 regencies/cities and Cluster 2 merely encompassed 96 regencies/cities. Conclusion: Two clusters for each type of school had been established with Cluster 1 consisting of areas with high availability of WASH facilities while areas in Cluster 2 possessed a relatively low percentage in the three WASH indicators. There were 66 regencies/cities, generally located in eastern Indonesian provinces, grouped in Cluster 2 for both types of schools.
利用聚类分析分析印尼地区学校用水、环境卫生和个人卫生设施的不平等
简介:人类严重依赖水、环境卫生和个人卫生(WASH)设施。可持续发展目标(SDG)的目标6强调确保社区普遍获得清洁水和卫生设施。由于讲卫生运动在学校中至关重要,本研究的目的是通过聚类分析,根据讲卫生运动指标的可用性,全面了解地区不平等现象。方法:本研究采用了来自印度尼西亚514个县/城市的横断面数据,包括三个变量,即公立和私立小学获得水、卫生设施和个人卫生的百分比。通过K-means聚类方法进行了分析。结果与讨论:公立和私立学校分别进行了检查,因为差异测试中的p值小于0.05。根据轮廓图,每个类别的最佳聚类数量为两个。就公立学校类别而言,第1组中的县/城市数量为380个,第2组中为134个。就私立学校类别而言,第1组包括418个县/市,第2组仅包括96个县/城市。结论:为每种类型的学校建立了两个集群,集群1由讲卫生设施可用性高的地区组成,而集群2的地区在讲卫生三项指标中所占比例相对较低。这两类学校共有66个县/市,通常位于印度尼西亚东部省份,分为第2组。
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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
32
审稿时长
16 weeks
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