SEPA (Simulator Epidemi Penyakit Airborne)

Developed using Python 3.8+ , the platform transitions beyond traditional homogeneous compartmental mathematical models (e.g., standard SIR models) by simulating stochastic micro-interactions and spatial heterogeneity within dense human populations.The simulator evaluates airborne pathogen transmission risks based on real-time Euclidean distance thresholds per simulation tick.

A core scientific contribution of SEPA is its dynamic, responsive immunological framework. Rather than treating individual immunity as a static value, each agent is initialized with a Gaussian distributed immune status that actively degrades based on physical locomotion constraints (fatigue) and fluctuates via localized environmental modifiers.Key Technical Features:Spatial Heterogeneity: Integrates six distinct parametric city layouts (e.g., commercial centers, residential areas, industrial zones) to model varying demographic densities and structural movement restrictions.Strict Structural Constraints: Implements strict vector-reflection collision detection to prevent agent overlaps with physical obstacles, ensuring spatial realism.Real-Time Intervention Control: Allows users to manually deploy and toggle localized policy interventions, including centralized healthcare vaccination zones, distributed random immunization sectors, and high-contamination infection zones.Analytical Dashboards & Data Interoperability: Displays active epidemiological curves and comprehensive analytical counters with a real-time data export system to CSV formats for external statistical validation.