Nursida Arif
Universitas Muhammadiyah Gorontalo

Published : 5 Documents
Articles

Found 5 Documents
Search

REMOTE SENSING AND GIS APPROACHES TO A QUALITATIVE ASSESSMENT OF SOIL EROSION RISK IN SERANG WATERSHED, KULONPROGO, INDONESIA Arif, Nursida; Danoedoro, Projo; Hartono, Hartono
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017): (October 2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2042.425 KB) | DOI: 10.14710/geoplanning.4.2.131-142

Abstract

This research aims to determine the risk of soil erosion qualitatively by integrating remote sensing with the geographic information system. Factors that contributed to the occurrence of erosion in the area of study were analyzed using the method of the variation of combined input data of the factors controlling erosion (soil, climate, topography, vegetation, and humans). The input data were quantitative data changed into qualitative data that were obtained from field data and extracted from remote sensing imagery, i.e. SPOT 5. A number of parameters were calculated using the RUSLE model equation. The model was validated by observing the qualitative erosion indicators in the field (pedestal, tree root exposure, armor layers, rill erosion, and gully erosion) by observing slope steepness in each sample area. The area of study was Serang watershed located in Kulon Progo Regency, Yogyakarta. It is one of the critically potential watersheds viewed from the landform and land use. The results of various combinations generated the highest of accuracy by 90.57 % with extremely erosion dominating the area of study. The factors with the highest contribution to erosion in Serang Watershed were slope length and steepness (LS) and erodibility (K).
STUDI KOMPARASI KRIGING DAN IDW UNTUK ESTIMASI SPASIAL BAHAN ORGANIK TANAH Arif, Nursida
Geomedia: Majalah Ilmiah dan Informasi Kegeografian Vol 17, No 2 (2019): Geomedia
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v17i2.28866

Abstract

Interpolasi merupakan metode yang dapat diunggulkan untuk melakukan prediksi nilai-nilai sebaran pada suatu area berdasarkan data sampel. Karakteristik data sampel sangat mempengaruhi hasil dari metode interpolasi yang digunakan. Tujuan penelitian ini adalah membandingkan metode interpolasi Inverse Distance Weighting (IDW) dan kriging dengan berbagai variogram untuk memprediksi sebaran spasial bahan organik tanah di DAS Serang Kulonprogo. Metode yang digunakan untuk mengukur metode yang paling akurat yaitu: 1) menghitung root mean square error (RMSE), dan 2) melihat nilai minimum dan maksimum yang memenuhi data sampel. Hasil penelitian menunjukan metode IDW lebih akurat karena nilai yang dihasilkan mendekati nilai data sampel dan memenuhi nilai minimum dan maksimum data. Sedangkan RMSE terendah yaitu kriging dengan variogram gaussian.
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.
PEMODELAN SPASIAL EROSI KUALITATIF BERBASIS RASTER (STUDI KASUS DI DAS SERANG, KABUPATEN KULONPROGO) Arif, Nursida; Danoedoro, Projo; Hartono, Hartono
Jurnal Ilmu Lingkungan Vol 15, No 2 (2017): Oktober 2017
Publisher : Program Studi Ilmu Lingkungan,Program Pascasarjana, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1965.297 KB) | DOI: 10.14710/jil.15.2.127-134

Abstract

Erosi merupakan salah satu fenomena alam yang banyak dikaji karena melibatkan banyak faktor yaitu vegetasi, tanah, iklim, topografi dan manusia.  Kompleksitas faktor-faktor yang mempengaruhi erosi disederhanakan melalui pemodelan untuk memprediksi tingkat erosi pada suatu wilayah dengan memanfaatkan data penginderaan jauh dan sistem informasi geografis. Faktor yang digunakan dalam menyusun model hanya melibatkan tiga faktor yaitu vegetasi, tanah dan lereng. Penelitian ini dilakukan di DAS Serang karena termasuk salah satu DAS yang berada dalam kondisi kritis yang dapat memicu terjadinya degradasi lahan, erosi dan longsor. Tujuan penelitian ini adalah mengetahui distribusi spasial tingkat erosi kualitatif di DAS Serang. Pendekatan yang digunakan adalah integrasi peginderaan jauh dan sistem informasi geografis berbasis raster. Validasi model dilakukan dengan melihat faktor topografi dan indikator erosi kualitatif di lapangan yaitu armour layer, singkapan akar, pedestal, erosi alur dan gully. Hasil penelitian menunjukan model yang dihasilkan sangat efektif sebagai solusi cepat prediksi erosi. Berdasarkan hasil analisis tingkat erosi sangat berat mendominasi di wilayah kajian yaitu sebagian besar di kecamatan Kokap, Girimulyo dan sebagian Pengasih.Kata kunci: Erosi, Model, Kualitatif, DAS SerangEnglish Title: Spatial Modeling of Raster Based  Qualitative ErosionABSTRACTErosion is one of the natural phenomena that's studied by many because it involves many factors, namely vegetation, soil, climate, topography and humans. The complexity of the factors affecting erosion is simplified through modeling to predict of erosion rates in a region by utilizing remote sensing data and geographic information systems. The erosion control factor used in this research fewer parameters, namely vegetation, soil and topography only. This research was conducted in Serang watershed because it is one of the watersheds which are in critical conditions which can trigger land degradation, erosion and landslides. The purpose of this research was to know the spatial distribution of erosion susceptibility levels in Serang watershed. The approach used was the integration of remote sensing and raster-based geographic information system. Model validation was undertaken based on topograhy factor and observation of qualitative erosion indicators in the field. The indicators used were pedestals, armor layers, root exposure, or other erosion featuress such as rill and gullies. The results show that the resulting model is more effective as a quick solution to the prediction of erosion. Based on the results of the analysis, the spatial distribution of erosion rates is very dominant in the study area, mostly in Kokap, Girimulyo and some of the sub-districts.Keywords: Erosion, Modeling, Qualitative, Serang watershedCitation: Arif, N., Danoedoro, P., dan Hartono. (2017). Pemodelan Spasial Erosi Kualitatif Berbasis Raster Studi Kasus di DAS Serang, Kabupaten Kulonprogo. Jurnal Ilmu Lingkungan, 15(2),127-134, doi:10.14710/jil.15.2.127-134
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.