Predictive Modeling and Risk Analysis
Conducts exposure and impact analysis to estimate affected population, infrastructure, and economic assets, supporting disaster preparedness and response planning.
Blog
Case Study
Client
National Agency for Disaster Countermeasure - BNPB
Published Date
Sep 30, 2025
Topic
Disaster Management
Service
Custom Software Development; Geospatial Data Integration & Visualization; Sensor Installation & Integration;
GeoDashboard for MHEWS represents a leap forward in disaster management innovation, delivering real-time predictions, actionable insights, and seamless communication to ensure timely and effective responses. With its robust features and alignment to national policies like 'Satu Data' and 'Satu Peta,' GeoDashboard is more than a solution—it's a strategic asset for saving lives and protecting communities across Indonesia.
Conducts exposure and impact analysis to estimate affected population, infrastructure, and economic assets, supporting disaster preparedness and response planning.
Integrates seamlessly with existing GIS servers, big data platforms, and data lakes, supporting real-time data ingestion from various sources such as hazard models, sensor networks, and historical datasets.
Displays real-time disaster data (e.g., water levels, weather forecasts) with interactive layers for flood, tsunami hazard zones, and evacuation routes.
Sends automated notifications and disseminates early warnings to relevant stakeholders via various communication channels, following the Common Alerting Protocol (CAP).
Uses Role-Based Access Control (RBAC) for secure user management, allowing access control over modules and features based on user roles.
Strongly-typed front-end codebase for reliability and maintainability.
Scalable API layer for authentication, business logic, and integrations.
Data processing, validation routines, and geospatial utilities.
Authoritative spatial database for parcels, boundaries, and price layers.
Asynchronous task queue for background jobs (validation, geoprocessing, report generation).
Container orchestration for high availability, scaling, and rolling updates.
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