Analisis Cluster Data Pasien HIV di Kabupaten Situbondo Menggunakan Metode Density-Based Spatial Clustering of Applications with Noise (DBSCAN)

Abstract

Human Immunodeficiency Virus (HIV) infection remains a significant public health challenge, causing physical, social, and emotional issues worldwide. Since its emergence in the 1980s, HIV/AIDS has evolved into a global pandemic, profoundly affecting global health. Despite medical advancements reducing AIDS mortality by 42% since 2004 (Patel et al., 2017), HIV/AIDS prevalence remains a critical concern. Situbondo Regency in East Java reported 1,162 HIV/AIDS cases in 2022 (Situbondo Health Department, 2022), underscoring the region's serious public health burden. This study focuses on employing Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to analyze HIV/AIDS data, aiming to identify distinct health risk clusters, understand their distribution patterns, and visualize spatial risks using choropleth maps. The research aims to enhance local understanding of disease spread dynamics and inform targeted prevention and intervention strategies tailored to Situbondo's high-risk areas, contributing to improved public health management and policy formulation.