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

Authors

  • 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

Keywords:

Informatian System, Regional Inflation, WebGIS, Spatial Analysis, Economic Planning

Abstract

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.

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Published

2025-12-31

How to Cite

Febyliana, E., Attolok, T. Z. A. ., Ubaidah, A. R. R. A. ., & Mahadewi, K. . (2025). WebGIS-Based Diagnosis of Economic Vulnerability: Implementing the Inflation Risk-Burden Matrix via a Spiral Development Framework. Journal of Computing and Smart Ecosystems, 1(2). Retrieved from https://jurnalnew.unimus.ac.id/index.php/J-CaSE/article/view/907

Issue

Vol. 1 No. 2 (2025): J-CaSE

Section

Articles

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