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All Journal Jurnal Geografi Geosfera Indonesia
Prasetyo, Widodo Eko
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Geomorphological Survey and Mapping Practice for Physical Characteristics at Precet Forest Park Study Irawan, Listyo Yudha; Purwanto, Purwanto; Hartono, Rudi; Prasad, Ravinesh Rohit; Amatullah, Aulia; Chairil, Azril; Ardiansyah, Zunan Faruq; Prasetyo, Widodo Eko
JURNAL GEOGRAFI Vol. 17 No. 2 (2025): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v17i2.67290

Abstract

Geomorphology is a field of study that focuses on landforms and the natural processes that shape the earth’s surface. The physical characteristics of an area are important for determining land use suitability, environmental management, and disaster risk mitigation, especially in volcanic regions. This study aims to carry out a geomorphological survey and mapping of Precet Forest Park, located on the slopes of Mount Kawi, East Java. The research uses a descriptive quantitative approach by combining field surveys and geospatial data analysis. Primary data were obtained from Total Station measurements, GPS tracking, and observations of land use, landforms, and soil characteristics. Meanwhile, secondary data such as DEMNAS, geological maps, and soil type maps from official sources were used to support the analysis. The morphometric data were processed using interpolation methods including Kriging, Minimum Curvature, and Polynomial techniques through Surfer and QGIS software. The results showed that the study area is dominated by volcanic landforms with Cambisol soils that have a silty clay texture. The topography is characterized by steep to undulating slopes with varying soil permeability and saturation levels, which affect slope stability. Mass movements such as slumps were identified in several locations. The findings of this research are expected to support land use planning and environmental management efforts, as well as serve as a learning reference for geography students in applying geomorphological mapping techniques in the field.
Erosion Prediction Based on Terrestris Survey and RUSLE Method (Revised Universal Soil Loss Equation) in Precet Forest Park, Wagir, Malang Irawan, Listyo Yudha; Wahyu, Hyundra Zakiya Putri; Firdausa, Ayunda Laras; Wijaya, Andhika Ananda; Azizah, Vischawafiq; Prasetyo, Widodo Eko
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.45479

Abstract

Erosion was a process that led to decreased land productivity and soil layer depletion. Four factors affected erosion, including erosivity, erodibility, slope and land cover. This study aimed to assess erosion predictions based on the results of field measurements or terrestrial surveys and the RUSLE method. Precet Forest Park was the location of the research facility. Erosion prediction was conducted by measuring slopes using Total Station. The RUSLE technique with five variables was used to calculate erosion values. These factors included the slope factor (LS), plant management index and ground cover vegetation (C), soil erodibility (K), rain erosion (R), and soil conservation measures (P). The calculation results indicated that the erosivity value (R) was 254.5, the K value was 0.46, the average LS value is was 8.39, the C value was 0.1, and the P value  was 0.9. Calculations using the RUSLE method yielded an average value of the amount of eroded soil in Precet Forest Park of 86.37 tons/ha/year with a soil solum depth of >90 cm. Based on the erosion classification, the grade was classified as class II (Medium). In general, erosion was categorized as high to very high in the middle slope areas of the mountain. This was due to land cover characterised by thick vegetation. In addition, the soil management practices also reduced the value of erosion in Precet Forest Park.
Erosion Prediction Based on Terrestris Survey and RUSLE Method (Revised Universal Soil Loss Equation) in Precet Forest Park, Wagir, Malang Irawan, Listyo Yudha; Wahyu, Hyundra Zakiya Putri; Firdausa, Ayunda Laras; Wijaya, Andhika Ananda; Azizah, Vischawafiq; Prasetyo, Widodo Eko
Geosfera Indonesia Vol. 9 No. 3 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i3.45479

Abstract

Erosion was a process that led to decreased land productivity and soil layer depletion. Four factors affected erosion, including erosivity, erodibility, slope and land cover. This study aimed to assess erosion predictions based on the results of field measurements or terrestrial surveys and the RUSLE method. Precet Forest Park was the location of the research facility. Erosion prediction was conducted by measuring slopes using Total Station. The RUSLE technique with five variables was used to calculate erosion values. These factors included the slope factor (LS), plant management index and ground cover vegetation (C), soil erodibility (K), rain erosion (R), and soil conservation measures (P). The calculation results indicated that the erosivity value (R) was 254.5, the K value was 0.46, the average LS value is was 8.39, the C value was 0.1, and the P value  was 0.9. Calculations using the RUSLE method yielded an average value of the amount of eroded soil in Precet Forest Park of 86.37 tons/ha/year with a soil solum depth of >90 cm. Based on the erosion classification, the grade was classified as class II (Medium). In general, erosion was categorized as high to very high in the middle slope areas of the mountain. This was due to land cover characterised by thick vegetation. In addition, the soil management practices also reduced the value of erosion in Precet Forest Park.
Co-Authors Amatullah, Aulia Ardiansyah, Zunan Faruq Azizah, Vischawafiq Chairil, Azril Firdausa, Ayunda Laras Hartono, Rudi Listyo Yudha Irawan Purwanto Purwanto Ravinesh Rohit Prasad, Ravinesh Rohit Wahyu, Hyundra Zakiya Putri Wijaya, Andhika Ananda