This study aims to model and analyze the factors that influence the Prevalence of Undernourishment (PoU) at the regency/city level in Indonesia. The method used is spatial regression. The analysis was conducted separately for the five major islands in Indonesia, namely Sumatra, Java, Kalimantan, Sulawesi, and Papua. The data used included PoU as the dependent variable and seven independent vari…
The Prevalence of Undernourishment (PoU) is an important indicator for describing the state of food security in Indonesia. This study aims to Cluster regency/city in Indonesia based on seven PoU-related indicators. The Clustering method used is K-Means Clustering. The indicators analyzed include Rice Production, Population Density, Percentage of Poor Population, Percentage of Per Capita Expendi…
This study aims to classify the Prevalence of Undernourishment (PoU) in regencies/cities in Indonesia. The method used is Classification and Regression Tree (CART). The data used is secondary data covering Rice Production (Produksi Beras, PB), Population Density (Kepadatan Penduduk, KP), Percentage of Poor Population (Persentase Penduduk Miskin, PPM), Percentage of Per Capita Food Expenditure (…