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All Journal AKADEMIKA Indonesian Journal of Science and Technology
Nursida Arif
Universitas Muhammadiyah Gorontalo
Computer Science & IT Environmental Science

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ANALISIS SPASIAL LAHAN KRITIS DI KECAMATAN BUKAL KABUPATEN BUOL Arif, Nursida
AKADEMIKA Vol 1, No 3 (2013)
Publisher : AKADEMIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (26.587 KB)

Abstract

Land conversion on the increase due to the insistence of the human need for natural resources available. The impact of this is the emergence of critical land that become a new problem for the government. Spatial analysis of critical land is done to see the spread of critical land with the aim of helping to prioritize conservation or rehabilitation of land in the study area. Sampling was is done with field survey and analysis of the maps consisting of variables that determine critical land. The parameters are used as a determinant of critical class of land i.e land cover, slope, solum depth, and soil texture. The results show areas of research are somewhat critical areas and critical potential spread of plantation area while critical in most residential areas. The dominant factor affecting the critical of land in the district, namely Buccal slope and land conversion.
Erosion Prediction Model using Fractional Vegetation Cover Arif, Nursida; Danoedoro, Projo; Hartono, Hartono; Mulabbi, Andrew
Indonesian Journal of Science and Technology Vol 5, No 1 (2020): IJOST: VOLUME 5, ISSUE 1, 2020
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v5i1.21060

Abstract

The purpose of this study was to  create an erosion prediction model in Serang Watershed, Indonesia. The erosion model used two input data, namely the slope derivied from Digital Elevation Model (DEM) data, and Fractional Vegetation Cover (FVC) from SPOT images. Assessment of the model was carried out using questionnaires and interviews with several experts by presenting the results of the model and its supporting data. Based on the DEM data, the level of slope steepness in the study area is very varied namely; flat (52.77%), sloping (7.62%), and rather steep to very steep (39.59%). Vegetation density according to the FVC results is dominated by medium density. The results of the analysis of the two input models can provide predictions of the level of erosion with an accuracy of 67.92%. Evaluation of the model was done by experts with conclusions that the method was very flexible and can be adapted to similar watersheds elsewhere.
Co-Authors Hartono Hartono Mulabbi, Andrew Projo Danoedoro