2023
DOI: 10.1088/1755-1315/1276/1/012024
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Machine Learning for Landslide Susceptibility Mapping Using Phyton in Sigi Biromaru Area (Near Palu), Central Sulawesi, Indonesia

S Sukristiyanti,
Y Arifianti,
A F Rozie
et al.

Abstract: Sigi Biromaru is near Palu City; both experienced the Palu earthquake on 28 September 2018. Unlike Palu City, a flat area, Sigi Biromaru is hilly, so it experienced landslides after the big earthquake. This study performed landslide susceptibility mapping for Sigi Biromaru using a machine learning method, namely random forest. Nine parameters were used, i.e., altitude, slope, lithology, peak ground acceleration, land cover, river density, lineament density, rainfall, and aspect. The total data points were 530,… Show more

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