Analysis of the Potential of Landslide Prone Areas in Bawen and Tuntang Districts with the Simple Additive Weighting (SAW) Method

  • Mira Universitas Kristen Satya Wacana
  • Merryana Lestari Universitas Kristen Satya Wacana
  • Candra Gudiato Universitas Kristen Satya Wacana
  • Sri Yulianto Prasetyo Universitas Kristen Satya Wacana
  • Charitas Fibriani Universitas Kristen Satya Wacana
Keywords: Landslide, Land Cover, Slope, Rainfall, SAW, SAVI, NDVI, NDWI

Abstract

The high intensity of rainfall at the end of 2020 and early 2021 not only caused several areas in Indonesia to be flooded but also landslides. Landslides can occur due to soil movements in the rainy season and are influenced by tectonic conditions in Indonesia which are always changing. Bawen and Tuntang Districts are two districts in Semarang Regency, Central Java. Both areas were hit by floods and landslides in April 2020. The material and moral losses of the local population are inevitable. To take precautions as early as possible in order to reduce future losses, it is necessary to conduct research on the potential of landslide-prone areas in Bawen and Tuntang Districts. The analysis was carried out using the Simple Additive Weighting (SAW) method to calculate the percentage of an area where landslides occurred. The parameters used include land cover, slope, rainfall, Soil Adjusted Vegetation Index (SAVI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Wetness Index (NDWI). The results of this study indicate that the level of landslide vulnerability in Bawen and Tuntang Districts is classified as "kurang rawan". The results of this study are expected to become a spatial planning document based on landslide disaster mitigation in Semarang Regency, especially in Bawen and Tuntang Districts.

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Published
2021-09-10
How to Cite
Mira, Lestari, M., Gudiato, C., Prasetyo, S. Y., & Fibriani, C. (2021). Analysis of the Potential of Landslide Prone Areas in Bawen and Tuntang Districts with the Simple Additive Weighting (SAW) Method. Journal of Information Technology, 1(2), 17-25. https://doi.org/10.46229/jifotech.v1i2.280