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All Journal Jurnal BETA (Biosistem dan Teknik Pertanian)
Ngadisih
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology

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Pemetaan Kerawanan Tanah Longsor pada Lahan Pertanian di Dusun Sambak 1, Desa Sambak, Magelang, Jawa Tengah Ni Made Julita Dea Ananda; Sumiyati; Ngadisih; Ni Nyoman Sulastri; I Putu Wahyu Adipratama; I Gd Agus Adithya Wira Pranata
Jurnal BETA (Biosistem dan Teknik Pertanian) Vol 14 No 2 (2026): September
Publisher : Program Studi Teknik Pertanian dan Biosistem, Fakultas Teknologi Pertanian, Universitas Udayana, Badung, Bali, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/jbeta.2026.v14.i02.p12

Abstract

Landslide susceptibility mapping on agricultural land is an important pre-disaster mitigation effort, particularly in areas with undulating to steep topographic conditions such as Sambak 1 Hamlet, Sambak Village, Magelang Regency, Central Java. This study aims to map the level of landslide susceptibility on agricultural land as a basis for safer land-use planning. The method utilizes Geographic Information System (GIS) technology by processing Digital Elevation Model (DEM) and orthomosaic data extracted from unmanned aerial vehicle (UAV/drone) imagery. The topographic parameters analyzed include slope, aspect, and curvature, which were subsequently integrated using the weighted overlay method based on empirical Frequency Ratio (FR) weighting. Spatial analysis results indicate that, overall, Sambak 1 Hamlet is dominated by the moderate susceptibility class. However, a crucial finding reveals that mixed gardens are the most threatened agricultural land category in the high susceptibility zone, covering a total area of 2.99 ha, far exceeding dry land (0.17 ha) and wet land (0.13 ha). The resulting susceptibility map serves as an essential instrument for local governments and communities in planning sustainable land use, particularly as a basis for implementing integrated mitigation measures through multistrata agroforestry models, vetiver grass planting, as well as the optimization of terracing and drainage.
Co-Authors I Gd Agus Adithya Wira Pranata I Putu Wahyu Adipratama Ni Made Julita Dea Ananda Ni Nyoman Sulastri Sumiyati