Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal JURNAL BUANA Jurnal Buana JURNAL BUANA
Isra Haryati Diva
Unknown Affiliation
Humanities Earth & Planetary Sciences Education Environmental Science Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
ANALISIS KAWASAN LONGSOR MENGGUNAKAN PEMROGRAMAN R DI KECAMATAN AKABILURU KABUPATEN LIMAPULUH KOTA Isra Haryati Diva
JURNAL BUANA Vol 6 No 4 (2022): Edisi Geografi Bencana
Publisher : JURUSAN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/student.v6i4.2248

Abstract

The purpose of research is (1) to determine the location of the occurrence of landslides in 2016-2021. (2) knowing the dominant factor of landslide using R programming. (3) knowing the landslide susceptibility area in Akabiluru District. The variables used are the point of occurrence of landslides, slope, slope direction, source rock, soil type, rainfall, land use, vegetation density and landform. The landslide point is divided into 50% test data and 50% train data. The method used is bivariate statistics assisted by the R programming language. The results of the study are that there are 30 points of landslide occurrence from 2016-2021 which are spread in Akabiluru District. Factors dominant the occurrence of landslides are slope with AUC 0.78, land use with AUC 0.72, source rock with AUC 0.69, landforms with AUC 0.68, aspect with AUC 0.71, soil type with AUC 0.65. From the total WoE calculation, the AUC value is 0.75 and produces a map of the landslide susceptibility zone which consists of 4 classes, namely high class (20.84%), middle class (26.35%), low class (25.74%) and very low class (27.07% ).
ANALISIS KAWASAN LONGSOR MENGGUNAKAN PEMROGRAMAN R DI KECAMATAN AKABILURU KABUPATEN LIMAPULUH KOTA Isra Haryati Diva
JURNAL BUANA Vol 6 No 4 (2022): Edisi Geografi Bencana
Publisher : JURUSAN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/student.v6i4.2248

Abstract

The purpose of research is (1) to determine the location of the occurrence of landslides in 2016-2021. (2) knowing the dominant factor of landslide using R programming. (3) knowing the landslide susceptibility area in Akabiluru District. The variables used are the point of occurrence of landslides, slope, slope direction, source rock, soil type, rainfall, land use, vegetation density and landform. The landslide point is divided into 50% test data and 50% train data. The method used is bivariate statistics assisted by the R programming language. The results of the study are that there are 30 points of landslide occurrence from 2016-2021 which are spread in Akabiluru District. Factors dominant the occurrence of landslides are slope with AUC 0.78, land use with AUC 0.72, source rock with AUC 0.69, landforms with AUC 0.68, aspect with AUC 0.71, soil type with AUC 0.65. From the total WoE calculation, the AUC value is 0.75 and produces a map of the landslide susceptibility zone which consists of 4 classes, namely high class (20.84%), middle class (26.35%), low class (25.74%) and very low class (27.07% ).
ANALISIS KAWASAN LONGSOR MENGGUNAKAN PEMROGRAMAN R DI KECAMATAN AKABILURU KABUPATEN LIMAPULUH KOTA Isra Haryati Diva; Iswandi Umar
JURNAL BUANA Vol 6 No 4 (2022): Edisi Geografi Bencana
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana.v6i4.2248

Abstract

The purpose of research is (1) to determine the location of the occurrence of landslides in 2016-2021. (2) knowing the dominant factor of landslide using R programming. (3) knowing the landslide susceptibility area in Akabiluru District. The variables used are the point of occurrence of landslides, slope, slope direction, source rock, soil type, rainfall, land use, vegetation density and landform. The landslide point is divided into 50% test data and 50% train data. The method used is bivariate statistics assisted by the R programming language. The results of the study are that there are 30 points of landslide occurrence from 2016-2021 which are spread in Akabiluru District. Factors dominant the occurrence of landslides are slope with AUC 0.78, land use with AUC 0.72, source rock with AUC 0.69, landforms with AUC 0.68, aspect with AUC 0.71, soil type with AUC 0.65. From the total WoE calculation, the AUC value is 0.75 and produces a map of the landslide susceptibility zone which consists of 4 classes, namely high class (20.84%), middle class (26.35%), low class (25.74%) and very low class (27.07% ).
Co-Authors Iswandi Umar