WebGIS-Based Diagnosis of Economic Vulnerability: Implementing the Inflation Risk-Burden Matrix via a Spiral Development Framework

Eva Febyliana (Department of Information Technology, Faculty of Engineering and Computer Science, Universitas Muhammadiyah Semarang, Indonesia)
Teuku Zaine Abror Attolok (Department of Information Technology, Faculty of Engineering and Computer Science, Universitas Muhammadiyah Semarang, Indonesia)
Auliya Rohman Riquelme Al Ubaidah (Department of Information Technology, Faculty of Engineering and Computer Science, Universitas Muhammadiyah Semarang, Indonesia)
Kilala Mahadewi (Department of Information Technology, Faculty of Engineering and Computer Science, Universitas Muhammadiyah Semarang, Indonesia)

Journal of Computing and Smart Ecosystems
Vol. 1 No. 2 (2025): J-CaSE

This study develops a WebGIS application to diagnose regional economic vulnerability using the Inflation Risk–Burden Matrix supported by a Spiral Development Framework. Monthly inflation data from 150 Indonesian cities for 2021–2024 are transformed into two indicators: long-term inflation burden and annual volatility risk. These indicators classify each city into four vulnerability quadrants. Findings show that more than half of the cities fall into the High-Burden & High-Risk category, indicating strong structural pressures and unstable price dynamics. The WebGIS system visualizes these classifications through thematic layers, spatial interaction tools, and automatic diagnostic pop-ups, allowing users to interpret inflation conditions more easily. The study concludes that integrating analytical metrics with spatial visualization enhances diagnostic accuracy and supports more effective, evidence-based decision-making for regional inflation control.