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Kardina, Dalendra
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics

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Mapping Tsunami Disaster Evacuation Routes Based on Geographic Information Systems (Case Study: Tambakrejo Village, Malang Regency, East Java) Kardina, Dalendra; Susilo, Adi; Usman, Fadly
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11260

Abstract

Indonesia is situated amidst three major tectonic plates: the Indo-Australian Plate, Eurasian Plate, and Pacific Plate. As a consequence, the country is characterized by numerous volcanoes, frequent earthquakes in various regions, and the occurrence of tsunamis. Particularly in the southern region of Java Island, this coastal area is a disaster-prone area. One of the areas is Tambakrejo Village, which is located in the coastal area of Malang Regency, which has potential in the form of beautiful beaches, abundant fishery products and development of the tourist village. This research aims to create a tsunami evacuation route map using a GIS. The digital elevation model data was obtained from Geospatial Information Agency using reclassification based on variations in altitude levels. Distance data from the coastline is processed using a base map of the research location and assisted by the Multiple Ring Buffer Toolbox. Land use data is processed using the Maximum Likelihood Classification process, the data used is Landsat 8 imagery. Determination of tsunami evacuation routes is carried out by implementing the Network Analyst method. The Network Analyst method uses the starting point of the incident to the end point of the facility to produce an appropriate evacuation route. The results show four new gathering points and 6 recommended evacuation routes for Sendangbiru, Tamban and Sendiki Beaches respectively.
Co-Authors Adi Susilo Fadly Usman