Rahmadathul Wisdawati, Rani Nooraeni, Bagaskoro Cahyo Laksono, Bintang Izzatul Fatah
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引用次数: 0
摘要
五岁以下儿童的贫困是指儿童的需求得不到满足,导致儿童营养不良,无法充分发挥其在社会领域的潜力。2019年,东努沙登加拉省仍然面临着印尼最大的营养问题。本研究旨在解释构成东努沙登加拉(ENT)儿童多维贫困的变量,形成多维五岁以下贫困指数(MUPI),并将指数形成的结果与双聚类结果进行比较。本研究使用的数据来源为SUSENAS KOR 2019。所使用的分析方法是因子和双聚类分析。结果表明,11个多维贫困指标构成了三个维度,即充足的食品和饮料设施系数、健康保护系数和住房和营养系数,用于构成该指数。根据地区分组,有5个地区的MUPI得分较低,14个地区的MUPI得分中等,3个地区的MUPI得分较高。然而,双聚类结果显示,有两个地区属于低贫困类别,13个地区属于中等贫困类别,7个地区属于高贫困类别。MUPI分组与双聚类方法的比较结果根据所得区域的组成获得了不同的结果。
Implementation of Factor Analysis and BiClustering in Classifying Multidimensional Under-Five Poverty in East Nusa Tenggara
Under-five poverty is a condition where the needs of toodlers are not met, resulting in undernourished children and unable to reach their full potential in the social sphere. East Nusa Tenggara is a province that still faces the biggest nutritional problems in Indonesia in 2019. This study aims to explain the variables that form toodlers multidimensional poverty in East Nusa Tenggara (ENT), form the Multidimensional Under-Five Poverty Index (MUPI), and compare the results of index formed with the results of bicluster. Data source used in this study is SUSENAS KOR 2019. The analytical method used is a factor and bicluster analysis. The results shows that 11 multidimensional poverty indicators form three dimensions, namely the Adequate Food and Beverage Facility Factor, Health Protection Factor, and Housing and Nutrition Factor, which is used to form the index. Based on regional grouping, there are five areas with low MUPI scores, fourteen areas with medium MUPI scores, and three areas with high MUPI scores. However, biclustering results show that there are two areas with low poverty category, thirteen regions with moderate poverty category, and seven regions with high poverty category. The result of the comparison of MUPI grouping with the biclustering method obtained different results based on the composition of the resulting area.