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Optimization of Tsunami and Earthquake Awareness Through Digital Mapping Using a Decision Support System with Simple Additive Weighting (SAW) in Padang City
Andrew Kurniawan Vadreas, Harfebi Fryonanda, Hendra Saputra, Raihan Efel Maulana, Dwi Welly Sukma Nirad

Politeknik Negeri Padang


Abstract

Padang is a city that is prone to earthquakes and tsunamis due to its location between the India and Asia plates on the west coast and being crossed by the Great Sumatran fault. The Padang coastal region is a strong source of earthquakes and tsunamis. Despite having experienced earthquakes in 2006, 2007, and 2009, Padang still faces difficulties in managing tsunami evacuation because of the lack of infrastructure and straight roads from the coast to higher ground. The presence of rivers in Padang causes the tsunami waves to be concentrated within a 200-meter radius and the evacuation routes are hindered by the presence of bridges that are not durable against tsunamis and earthquakes. Additionally, traffic congestion after an earthquake exacerbates the evacuation problems. This study aims to map the risk and potential of earthquakes and tsunamis in Padang 3 KM from the coast by comparing population and building data with the availability of shelters. The Simple Additive Weighting (SAW) method, as part of Geographic Information System, is used to analyze demographic data and shelter locations. The results show that Koto Tangah is the area with the highest risk level for earthquakes and tsunamis.

Keywords: Shelter, Geographic Information System (GIS), Simple Additive Weighting (SAW), Digital Mapping

Topic: Artificial Intelligence (AI)

Plain Format | Corresponding Author (Andrew Kurniawan Vadreas)

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