Pengklasifikasian Wilayah Bedasarkan Data Tingkat Stunting di Kota Bandung

Abstract

This study aims to identify areas with the highest prevalence of stunting in toddlers in Bandung City using the Decision Tree algorithm. Stunting is a serious public health problem that impacts children's physical growth and cognitive development, as well as affecting the quality of life of future generations. The research data was taken from the 2023 One Data Catalog report, which includes the prevalence of stunting at the sub-district level. The Decision Tree method was used to analyze the distribution pattern of stunting and identify the main risk factors, such as the number of toddlers, the percentage of toddlers with short height, and the socio-economic conditions of the region. The results showed that the West Bandung area had the highest prevalence of stunting, with the main factor being a very high percentage of stunted toddlers. The Decision Tree model used had an accuracy of 100%, indicating a strong predictive ability to classify areas at risk. Based on these results, it is recommended to strengthen public health interventions, such as increasing the capacity of Posyandu, improving access to sanitation and clean water, and empowering family economies. These findings provide a strong basis for the Bandung City government to design data-based policies to reduce stunting rates effectively and sustainably.