Pemanfaatan Sistem Informasi Geografi (SIG) Dalam Pemetaan Daerah Rawan Bencana Longsor Di Kecamatan Wih Pesam Kabupaten Bener Meriah

Wih Pesam Sub-district in Bener Meriah Regency is an area that has a high level of vulnerability to landslides due to geographical conditions dominated by steep slopes, high rainfall, and vulnerable soil types..This research aims to map landslide-prone areas by utilizing Geographic Information System (GIS) technology using the parameters of rainfall, soil type, slope, land cover, and geology. The methods used include overlay, weighting, and scoring techniques based on the guidelines of Puslittanak Bogor (2004). The mapping results show three vulnerability classifications: low (17.8 ha), medium (1,315.7 ha) and high (1,976.6 ha)..The majority of areas are in the high category, indicating a high potential for landslides in the area. The map resulting from this analysis is expected to be a reference in disaster mitigation, development planning, as well as increasing public awareness of landslide risks.

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Publication Details

Journal
PESHUM Jurnal Pendidikan Sosial dan Humaniora
Published
2025-08-04
DOI
https://doi.org/10.56799/peshum.v4i5.10081
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

Pemanfaatan Sistem Informasi Geografi (SIG) Dalam Pemetaan Daerah Rawan Bencana Longsor Di Kecamatan Wih Pesam Kabupaten Bener Meriah

M. Hafizul Furqan, Fitriani Yulianti, Novia Zalmita, Epa Aprilia
PESHUM Jurnal Pendidikan Sosial dan Humaniora
Data Mining and Machine Learning Applications
article

Pemanfaatan Sistem Informasi Geografi (SIG) Dalam Pemetaan Daerah Rawan Bencana Longsor Di Kecamatan Wih Pesam Kabupaten Bener Meriah

M. Hafizul Furqan, Fitriani Yulianti, Novia Zalmita, Epa Aprilia
article en

Abstract

Wih Pesam Sub-district in Bener Meriah Regency is an area that has a high level of vulnerability to landslides due to geographical conditions dominated by steep slopes, high rainfall, and vulnerable soil types..This research aims to map landslide-prone areas by utilizing Geographic Information System (GIS) technology using the parameters of rainfall, soil type, slope, land cover, and geology. The methods used include overlay, weighting, and scoring techniques based on the guidelines of Puslittanak Bogor (2004). The mapping results show three vulnerability classifications: low (17.8 ha), medium (1,315.7 ha) and high (1,976.6 ha)..The majority of areas are in the high category, indicating a high potential for landslides in the area. The map resulting from this analysis is expected to be a reference in disaster mitigation, development planning, as well as increasing public awareness of landslide risks.

PESHUM Jurnal Pendidikan Sosial dan HumanioraVol. 4(5)
Indonesia University of Education (ID), Universitas Syiah Kuala (ID)
Openalex Percentile: Top 65%
Data Mining and Machine Learning Applications
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