Model Spasial Deteksi Dini Tanah Longsor dengan Metode Exponential Smoothing Memanfaatkan Google API: Studi Kasus Provinsi Jawa Tengah
| Main Author: | Ma’ruf, Joko |
|---|---|
| Other Authors: | Hartomo, Kristoko Dwi |
| Format: | Thesis application/pdf |
| Bahasa: | ind |
| Terbitan: |
Program Studi Teknik Informatika FTI-UKSW
, 2018
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| Subjects: | |
| Online Access: |
http://repository.uksw.edu/handle/123456789/13726 |
Daftar Isi:
- According to Meteorology Climatology and Geophysics Council, there will be high rainfall around Boyolali at the beginning of year. That issue will be happened because Boyolali has sandy and loose soil structure area. Mapping landslides is done by taking spatial data from rainfall data and soil types in Boyolali. The analysis of this study used Exponential Smoothing method that used for early detection landslides by averaging and repairing forecasting a value from time to time by vertical way. The next forecasting will be showed in geographic information system by using Google API. The result of this study is an application of mapping that can give you information about area that indicated to landslides in Boyolali.