The study aims to comprehensively analyze the spatial distribution and varying risk levels of Dengue Hemorrhagic Fever (DHF) within Aceh Province. The primary objective is to identify and delineate regions within Aceh Province that demonstrate diverse probabilities of DHF occurrences. By investigating the discrepancies in DHF cases and population susceptibility across districts and cities, the research intends to facilitate strategic planning and targeted interventions for disease mitigation and control. Utilizing secondary data sourced from the Aceh Provincial Health Profile spanning 2016 to 2022, this study employs the Bayesian Conditional Autoregressive (CAR) prior model Besag-York-Mollie (BYM). This statistiThe research significantly contributes to enhancing our understanding of DHF distribution patterns and associated risks within Aceh Province. By employing a robust statistical model and analyzing secondary health profile data, the study offers valuable insights into identifying areas with varying levels of DHF risk. The findings are pivotal in guiding evidence-based decision-making for targeted interventions, resource allocation, and strategic planning aimed at mitigating the impact of DHF in high-risk regions. The study's outcomes highlight notable fluctuations in mortality due to dengue cases within Aceh Province, particularly evident in the peaks observed during 2016 and 2022. Furthermore, through the Bayesian CAR (BYM) model, the research identifies districts and cities with varying relative risk values for DHF occurrences. Notably, Sabang city emerges with the highest relative risk value of 3.54, signifying elevated susceptibility, while Bener Meriah district demonstrates the lowest relative risk at 0.2, indicating lower vulnerability to DHF. These findings provide critical insights into the heterogeneous DHF risk landscape across Aceh Province, informing targeted interventions and planning strategies to effectively address the disease burden.