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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Agritechno Jurnal Meteorologi dan Geofisika
Mashudi Mashudi
Universitas Papua
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Earth & Planetary Sciences Energy Engineering Environmental Science Physics

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Estimasi Suhu Udara Di Kabupaten Manokwari Melalui Pemanfaatan Citra Satelit Landsat 8 Mashudi Mashudi; Arif Faisol
Jurnal Meteorologi dan Geofisika Vol 23, No 1 (2022)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (830.562 KB) | DOI: 10.31172/jmg.v23i1.753

Abstract

Air temperature is the main parameter in determining agricultural land. However, most areas in Manokwari do not have air temperature data due to limited meteorological stations. The utilization of Landsat 8 satellite imagery is one of the alternative solutions for providing air temperature data. This study aims to examine the performance of Landsat 8 satellite imagery in estimating air temperature in Manokwari. The air temperature is estimated using the Normalized Difference Vegetation Index (NDVI) approach. Seven (7) statistical parameters i.e mean error (ME), mean absolute error (MAE), root mean square error (RMSE), relative bias (RBIAS), mean bias factor (MBIAS), percent bias (PBIAS), and the Pearson correlation coefficient (r) are used in the test. Besides, a paired T-test was also used to determine the significance of the difference between the estimated and observed data. A total of 33 Landsat 8 satellite imagery recordings from 2015 to 2020 and air temperature data obtained from the climatological station were used. The results showed that the estimated temperature had good accuracy with ME = 0.50 oC, MAE = 2.73 oC, RMSE = 3.45 oC, RBIAS = 0.09, MBIAS = 1.00, and PBIAS = 9,16% compared with climatological data. Besides, the estimated temperature does not have a significant difference to observed data although it has a weak correlation with r = 0.31. Therefore, Landsat 8 satellite imagery can be used as an alternative solution in providing air temperature in Manokwari for supporting agricultural land development.
Estimation of Erosion Potentials through Utilization of Remote Sensing Data and The Universal Soil Loss Equation Model Arif Faisol; Mashudi Mashudi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 12, No 1 (2023): March 2023
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v12i1.223-235

Abstract

Remote sensing data and USLE models have been used widely for erosion analysis. In Indonesia, the USLE model is a reference in erosion analysis to assess land suitability for agricultural crop development. Erosion analysis using remote sensing data provides various advantages, including good accuracy, lower costs, and can analyze erosion rates quickly compared to direct measurement methods. The aim of this study was to analyze the potential erosion in the Arui watershed - Manokwari Regency – West Papua Province using remote sensing data and USLE models. The research was conducted from April to July 2022, with three main stages i.e data inventory, data analysis, and erosion rate estimation. The research shows that the potential erosion rate in the Arui watershed is 15 tons/ha/year or 3.480 tons/year, thus exceeding the tolerable soil loss (TSL) erosion rate threshold of 9.6 tons/ha/year. Therefore, a conservation and restoration program is needed to control the erosion rate in the Arui watershed. Keywords:   Erosion rate, Remote sensing, Tolerable soil loss, USLE, Watershed
Estimasi Suhu Udara Di Kabupaten Manokwari Melalui Pemanfaatan Citra Satelit Landsat 8 Mashudi Mashudi; Arif Faisol
Jurnal Meteorologi dan Geofisika Vol. 23 No. 1 (2022)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v23i1.753

Abstract

Air temperature is the main parameter in determining agricultural land. However, most areas in Manokwari do not have air temperature data due to limited meteorological stations. The utilization of Landsat 8 satellite imagery is one of the alternative solutions for providing air temperature data. This study aims to examine the performance of Landsat 8 satellite imagery in estimating air temperature in Manokwari. The air temperature is estimated using the Normalized Difference Vegetation Index (NDVI) approach. Seven (7) statistical parameters i.e mean error (ME), mean absolute error (MAE), root mean square error (RMSE), relative bias (RBIAS), mean bias factor (MBIAS), percent bias (PBIAS), and the Pearson correlation coefficient (r) are used in the test. Besides, a paired T-test was also used to determine the significance of the difference between the estimated and observed data. A total of 33 Landsat 8 satellite imagery recordings from 2015 to 2020 and air temperature data obtained from the climatological station were used. The results showed that the estimated temperature had good accuracy with ME = 0.50 oC, MAE = 2.73 oC, RMSE = 3.45 oC, RBIAS = 0.09, MBIAS = 1.00, and PBIAS = 9,16% compared with climatological data. Besides, the estimated temperature does not have a significant difference to observed data although it has a weak correlation with r = 0.31. Therefore, Landsat 8 satellite imagery can be used as an alternative solution in providing air temperature in Manokwari for supporting agricultural land development.
Comparison of Several Methods for Analysis Slope Length Index Factor at A Watershed Scale Arif Faisol; Mashudi Mashudi; Samsul Bachri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.817-830

Abstract

Slope length and steepness factor index (LS) is one of the parameters for the Universal Soil Loss Equation (USLE) to estimate soil erosion. Currently, several methods for LS analysis, i.e. Wischmeier-Smith, Moore-Nieber, and Desmet – Govers. This study aims to compare the Wischmeier-Smith method, Moore–Nieber method, and Desmet–Govers method to analyze LS in the watershed in Manokwari – West Papua. This research consists of 4 main stages, i.e. data inventory, watershed boundary delineation, LS analysis, and LS comparison. The research showed that the Wischmeier-Smith method gave a higher LS value than the Moore – Nieber method and the Desmet – Govers method. Meanwhile, the Desmet – Gover method gives a lower average LS value than the Wischmeier-Smith method and the Moore – Nieber method. Based on the T-test, the LS produced by the Wischmeier-Smith, Moore-Nieber, and Desmet–Govers methods has significant differences in analyzing LS in the watershed in Manokwari – West Papua. Keywords: Desmet – Govers, Moore – Nieber, Universal Soil Loss Equation, Watershed, Wischmeier-Smith
KOMPARASI NILAI INDEKS FAKTOR PANJANG DAN KEMIRINGAN LERENG PADA BEBERAPA DATA DIGITAL ELEVATION MODEL RESOLUSI MENENGAH Arif Faisol; Mashudi Mashudi; Samsul Bachri
Jurnal Agritechno Jurnal Agritechno Vol. 17, Nomor 1, April 2024
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/at.v17i1.1284

Abstract

Several erosion prediction models use slope length and slope steepness factors (LS) as one of the parameters. Some researchers have developed algorithms to analyze LS based on Digital Elevation Model (DEM) data. This study aims to compare the LS based on the medium resolution of DEM data, i.e Space Shuttle Radar Topography Mission (SRTM), ASTER Global DEM, Jaxa's Global ALOS 3D World, and Copernicus DEM at 2 (two) watersheds in Manokwari, West Papua. The LS was calculated using the Desmet - Govers method. The research showed that LS analyzed using Copernicus DEM provided higher values than LS generated from SRTM DEM, ASTER Global DEM, and Jaxa's Global ALOS 3D World, meanwhile, LS generated from ASTER Global DEM data provided lower values. Furthermore, the LS value from the analysis of the Desmet - Govers method and the SRTM, ASTER Global DEM, Jaxa's Global ALOS 3D World, and Copernicus DEM have significant differences with weak to moderate correlation based on the F test and Pearson correlation test
Co-Authors Arif Faisol Samsul Bachri