Aditiawan WSP, Fourita DM, Tarigan

Kerawanan Bencana Alam Sebagai Ancaman Nirmiliter Studi Penataan Infrastruktur Rawan Bencana di Kabupaten Magelang

Introduction

Kerawanan bencana alam sebagai ancaman nirmiliter studi penataan infrastruktur rawan bencana di kabupaten magelang. Analisis kerawanan bencana alam di Kabupaten Magelang menggunakan model peta topografi 3D. Meningkatkan pemahaman risiko letusan gunung, lahar, longsor, banjir, dan gempa untuk perencanaan infrastruktur & mitigasi yang efektif.

Abstract

This study aims to analyze disaster vulnerability in Magelang Regency and visualize it through a three-dimensional (3D) topographic map model. Magelang Regency has complex geological and geomorphological characteristics, which contribute to potential hazards such as volcanic eruptions, lahars, landslides, floods, and earthquakes. The research employs a spatial analysis approach by integrating topographic data, land-use information, and disaster risk zoning into a 3D visualization model. The resulting 3D map presents realistic elevation features overlaid with disaster vulnerability zones classified into low, medium, and high-risk levels. The findings indicate that 3D visualization significantly enhances spatial understanding of disaster risks compared to conventional two-dimensional maps, making it a more effective tool for mitigation planning and strategic decision-making. From a Defense Civil Engineering perspective, this model serves as an analytical tool for planning disaster infrastructure, supporting military operations other than war (MOOTW), and strengthening regional resilience. This study is expected to provide valuable references for local governments, disaster management agencies, and military education institutions in disaster risk reduction and preparedness efforts.

Review

This study presents a timely and highly relevant analysis of disaster vulnerability in Magelang Regency, framed compellingly as a non-military threat to regional stability and infrastructure. The authors propose an innovative approach by integrating spatial data—including topography, land-use, and disaster risk zoning—into a three-dimensional topographic map model. This methodology promises a more nuanced and comprehensive understanding of the complex geological and geomorphological characteristics of Magelang, which contribute to a range of potential hazards from volcanic eruptions and lahars to landslides, floods, and earthquakes. The focus on enhancing spatial comprehension for critical decision-making is particularly commendable and addresses a significant gap in conventional disaster management tools. A key strength of this work lies in its pioneering use of 3D visualization, which the abstract argues significantly surpasses the utility of traditional 2D maps in terms of spatial understanding for mitigation planning. The classification of vulnerability zones into low, medium, and high-risk levels within a realistic elevation model provides a tangible and actionable output for stakeholders. Furthermore, the inclusion of a "Defense Civil Engineering perspective" offers a unique and highly valuable contribution, positioning the model not just as a tool for civilian disaster management, but also as an analytical aid for military operations other than war (MOOTW) and for bolstering overall regional resilience. This interdisciplinary outlook enriches the study's scope and potential impact, making it relevant to a broader audience than typical geospatial analyses. While the abstract provides a strong overview, a full manuscript would benefit from further elaboration on several methodological specifics, such as the precise data sources, their resolution, the algorithms used for spatial analysis, and the validation process for the 3D model and risk classifications. Detailing how "disaster risk zoning" was derived and integrated would also be crucial for replicability and robustness. Nevertheless, the outlined research demonstrates significant potential as a valuable reference for local governments, disaster management agencies, and military education institutions. Its innovative visualization approach and strategic implications for infrastructure planning and regional resilience make it a meritorious contribution to disaster risk reduction and preparedness efforts.

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