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All Journal Journal of Tropical Soils Geoplanning : Journal of Geomatics and Planning Jurnal Pertanian Terpadu MEDIAN Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Teknologi Pertanian Andalas Jurnal Agritechno Agritechnology : Jurnal Teknologi Pertanian Jurnal Natural Igya ser hanjop: Jurnal Pembangunan Berkelanjutan Rona Teknik Pertanian Jurnal Meteorologi dan Geofisika
Arif Faisol
Universitas Papua
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Energy Engineering Environmental Science Immunology & microbiology Mathematics Physics Other

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Komparasi Dataset Suhu Udara Berbasis Penginderaan Jauh Dalam Mengestimasi Suhu Udara Bulanan di Provinsi Papua Barat Arif Faisol; Bertha Ollin Paga; Baso Daeng
Rona Teknik Pertanian Vol 15, No 1 (2022): Volume No. 15, No. 1, April 2022
Publisher : Department of Agricultural Engineering, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/rtp.v15i1.25319

Abstract

Abstrak. Pada umumnya data suhu udara diperoleh dari hasil pengamatan pada stasiun iklim Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). Metode ini dapat digunakan untuk merepresentasikan suhu udara suatu wilayah yang berada pada radius ≤ 10 km dari lokasi stasiun iklim, sehingga dibutuhkan sebuah solusi alternatif untuk mendapatkan data suhu udara yang dapat merepresentasikan wilayah yang lebih luas, salah satunya memanfaatkan dataset suhu udara berbasis penginderaan jauh. Penelitian ini bertujuan membandingkan performa sejumlah dataset suhu udara berbasis penginderaan jauh, yaitu Climatic Research Unit gridded Time Series (CRU-TS), Climatologies at High Resolution for the Earth Land Surface Areas (CHELSA), dan TerraClimate dalam mengestimasi curah hujan bulanan di Provinsi Papua Barat. Penelitian ini terdiri atas 6 (enam) tahapan utama, yaitu; (1) inventarisasi data yang bertujuan mengumpulkan dataset suhu udara dan data suhu udara hasil perekaman pada Automatic Weather Station (AWS) tahun 1996 sampai tahun 2019, (2) ekstraksi data, (3) screening data untuk mengganti nilai ekstrim dengan nilai rata-rata, (4) evaluasi data untuk membandingkan dataset dengan data AWS, (5) komparasi data untuk membandingkan performa dataset, dan (6) rekomendasi yang bertujuan untuk menentukan dataset yang paling sesuai untuk digunakan di Provinsi Papua Barat. Hasil penelitian menunjukkan bahwa CHELSA, TerraClimate, dan CRU-TS sangat akurat dalam mengestimasi suhu udara bulanan di Provinsi Papua Barat yang ditunjukkan dengan nilai RBIAS 0,1. Disamping itu CHELSA, TerraClimate, dan CRU-TS memiliki tingkat keeratan hubungan yang sedang terhadap data AWS dengan nilai r = 0,36 – 0,68. Sehingga TerraClimate, CHELSA, dan CRU-TS dapat digunakan sebagai solusi alternatif untuk mendapatkan informasi suhu udara bulanan di Provinsi Papua Barat.Comparison of Remote Sensing-Based Air Temperature Dataset in Estimating Monthly Air Temperature in West PapuaAbstract. Air temperature is one of the important components in agriculture. Generally, air temperature data is obtained from climate stations of the Meteorological, Climatological, and Geophysical Agency (BMKG). These methods represented an area within a radius of 10 km from the climate station, therefore an alternative solution is needed for a larger area. The utilization of the air temperature dataset is one alternative solution. This research aims to compare Climatic Research Unit gridded Time Series (CRU-TS), Climatologies at High Resolution for the Earth Land Surface Areas (CHELSA), and TerraClimate as an air temperature dataset in estimating the monthly temperature in West Papua. The main stages in this research are data inventory, data extraction, data screening, data evaluation, data comparison, and data recommendation. The data used in this research are CRU-TS, TerraClimate, CHELSA, and local AWS data recording from 1996 to 2019. The research showed that CRU-TS, TerraClimate, and CHELSA are very accurate in estimating the monthly temperature in West Papua as indicated by RBIAS 0.1. Furthermore, CRU-TS, TerraClimate, and CHELSA have a moderate correlation with AWS data in estimating monthly air temperature with r= 0.36 - 0.68. Therefore, CRU-TS, TerraClimate, and CHELSA can be used as an alternative solution to obtain monthly air temperature information in West Papua.    
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
Analisis dan Proyeksi Kebutuhan Beberapa Komoditas Tanaman Pangan menggunakan Pendekatan Sistem Dinamis untuk Memenuhi Kebutuhan Pangan di Kabupaten Manokwari Arif Faisol; Siti Asfihana Rahmawati; Hostalige Hutasoit
Median : Jurnal Ilmu Ilmu Eksakta Vol. 15 No. 3 (2023): Jurnal Median
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/md.v15i3.2781

Abstract

Food is one of the fundamental requirements that must be fulfilled for everyone. The Food Balance Sheet (FBS) is one of the tools used to describe the food situation of a region. This study aims to analyze and project the requirement of food crops in Manokwari using a dynamic system modeling, i.e. paddy, soybeans, corn, peanuts, green beans, cassava, and sweet potatoes. Generally, this research consists of 4 (four) main stages, i.e. data inventory, data analysis, system dynamic model design, and projection of the requirement of food crops until 2050. The research showed that in 2022 some food crops production is in deficit, i.e. rice, soybeans, and green beans. Furthermore, corn, peanuts, cassava, and sweet potatoes are surplus. One of the solutions to supply food consumption in Manokwari Regency until 2050 is increasing food crop production through the expansion of food cropland and the use of superior varieties. In addition, increasing the Crop Index (CI) of rice plants from 2 times a year to 3 times a year is an alternative solution to increase rice production due to limited agricultural land provided by the government.
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 Atekan Baso Daeng Bertha Ollin Paga Budiyono Budiyono Darma Darma Elida Novita Hostalige Hutasoit Hostalige Hutasoit Indarto Indarto indarto indarto Joko Suryanto Mario M. Selano Mashudi Mashudi Risma Ulli Situngkir Samsul Bachri Siti Asfihana Rahmawati Siti Asfihana Rahmawati