Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Yan Satriyo
Unknown Affiliation
Earth & Planetary Sciences Energy Engineering Environmental Science Other

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
IDENTIFIKASI POTENSI GERAKAN TANAH MENGGUNAKAN ANALISIS STATISTIK BIVARIATE PADA SISTEM INFORMASI GEOGRAFIS DI DESA CIASMARA, BOGOR Kusuma, Fanny; Arico, Yusuf; Yan Satriyo; Dimas Wijaya; Moh. Ardhi Afnan; Misbahudin
Jurnal Abdi Masyarakat Indonesia (JAMIN) Vol 5 No 1 (2023): JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jamin.v5i1.10249

Abstract

Mass movements often occur in the village of Ciasmara, Pamijahan district, Bogor regency. The phenomenon of mass movement can provide economic losses as well as casualties. Therefore, the village community needs to know the region's potential for a mass movement. Ciasmara village has characteristics of steep slopes and lithological arrangement that has experienced weathering. The high rain intensity also aggravates this condition; it can cause mass movements. In this community service activity, statistical analysis of Geographic Information Systems has been conducted in digitally mapping the potential of mass movement in Ciasmara village, Pamijahan, Bogor. As a data input, landslides and slope impact points from Landsat 8 were used. As a result, 212 landslide points have been collected as an inventory. This data is broken down into training data, 60% of the overall data, and the rest as validation data. The modelling results showed the correlation of landslide events with an Area Under Curve (AUC) value>0.6. After validation, the model accuracy rate of up to 81.11% indicates that the model can be accepted. This community service resulted in a land movement vulnerability map in Ciasmara village with a vulnerability level of 4 zones; the vulnerability level is very low, low, medium, and high.
Co-Authors Arico, Yusuf Dimas Wijaya Kusuma, Fanny Misbahudin Moh. Ardhi Afnan