Abstract
Majalengka Regency is one of the districts with a high landslide hazard in West Java Province. They are mostly affected by heavy rainfall or prolonged rain. This study aims to classify landslide events in 2018-2019 based on physical factors consisting of slopes, soil types, lithology, land use, and vegetation density using the K-Means Clustering analysis method. To analyze the characteristics of rainfall that triggered landslides in 2018-2019 using the Thiessen polygon method. The results showed that the clustering of landslide events in 2018-2019 in Majalengka Regency was formed five clusters with the highest rainfall on the D-Day average in cluster 5, which is 49 mm/day. The highest average cumulative rainfall 3 days before the landslide events was in cluster 4, which is 80 mm/day. The highest average cumulative rainfall 5 days before the landslide events was in cluster 3 is 112 mm/day. The highest average cumulative rainfall 10 days before the landslide events was in cluster 1, which is 174 mm/day.
| Original language | English |
|---|---|
| Article number | 012054 |
| Journal | IOP Conference Series: Earth and Environmental Science |
| Volume | 884 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 17 Nov 2021 |
| Event | 2nd International Conference on Hazard Mitigation in Geographic and Education Perspectives, ICHMGEP 2020 - Yogyakarta, Indonesia Duration: 11 Sept 2020 → 12 Sept 2020 |
Keywords
- K-Means Clustering
- Landslide
- Majalengka Regency
- Physical Factors
- Rainfall
