EVALUASI MITIGASI BENCANA TANAH LONGSOR MELALUI LANDSLIDE EARLY WARNING SYSTEM (LEWS) DI KABUPATEN KENDAL PROVINSI JAWA TENGAH

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)

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

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