salisa, meutia eldurr riska (2023) EVALUASI MITIGASI BENCANA TANAH LONGSOR MELALUI LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN KENDAL PROVINSI JAWA TENGAH. Other thesis, IPDN.
|
Text
MEUTIA ELDURR_30.0694_EVALUASI MITIGASI BENCANA TANAH LONGSOR MELALUI LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN KENDAL PROVINSI JAWA TENGAH.pdf Download (233kB) | Preview |
Abstract
ABSTRACT Problem Statement/Background (GAP): Landslides in Kendal Regency are still a serious concern for disaster management. Purpose: to find out that the implementation of the Landslide Early Warning System (LEWS) is success. Method: The research used to qualitative method with a descriptive approach. Result: The benefits generated in the evaluation of the distribution of information through the Landslide Early Warning System (LEWS) can reduce disaster risk according to mitigation goals. Conclusion: landslide mitigation in Kendal Regency was successfully implemented according to its objectives and went well with community integration by Landslide Early Warning System (LEWS). Keyword : Landslide Mitigation, Landslide Early Warning System (LEWS), Kendal Regency ABSTRAK Permasalahan/Latar Belakang (GAP): tanah longsor di Kabupaten Kendal masih menjadi perhatian serius terhadap penanggulangan bencana. Tujuan: untuk mengetahui bahwa penerapan Landslide Early Warning System (LEWS) berhasil diimplementasikan. Metode: pendekatan penelitian melalui metode kualitatif dengan pendekatan deskriptif. Hasil/Temuan: evaluasi pendistribusian informasi melalui Landslide Early Warning System (LEWS) mampu mengurangi risiko bencana sesuai tujuan mitigasi. Kesimpulan: penerapan mitigasi bencana tanah longsor di Kabupaten Kendal berhasil diimplementasikan sesuai tujuan dan berjalan baik dengan integrasi masyarakat melalui Landslide Early Warning System (LEWS). Kata Kunci : Mitigasi Tanah Longsor, Landslide Early Warning System (LEWS), Kabupaten Kendal
Item Type: | Thesis (Other) |
---|---|
Subjects: | H Social Sciences > H Social Sciences (General) |
Divisions: | Faculty of Goverment Management > Safety Management and Public Security |
Depositing User: | Manajemen Keamanan dan Keselamatan Publik FPM |
Date Deposited: | 06 Jun 2023 06:40 |
Last Modified: | 06 Jun 2023 06:40 |
URI: | http://eprints.ipdn.ac.id/id/eprint/13723 |
Actions (login required)
View Item |