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All Journal Journal of Tropical Soils Geoplanning : Journal of Geomatics and Planning Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian Andalas Jurnal Agritechno Agritechnology : Jurnal Teknologi Pertanian
Budiyono Budiyono
Universitas Papua
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Engineering Environmental Science Immunology & microbiology

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Utilization of MODIS Surface Reflectance to Generate Air Temperature Information in East Java - Indonesia Arif Faisol; Indarto Indarto; Elida Novita; Budiyono Budiyono
Geoplanning: Journal of Geomatics and Planning Vol 7, No 1 (2020)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.7.1.37-46

Abstract

Ambient air temperature is main variable in climatological and hydrological analysis, however limited number of meteorological stations in Indonesia was becoming a problem to provide air temperature data for large areas.  The objective of this study is to generate air temparature using relationship of land surface temperature and vegetation index. A total of 6 climatological station and 84 MODIS Images for three years (2015 to 2017) were used for the analysis.  Research methods include: image georeferencing, band extraction from modis, derivation of NDVI, gererating ambient air temperature, calibrating using local meteorological station, and image interpretation. Results show that the accuracy of MODIS Surface Reflectance product to generate ambient air temperature in East Java at any periods is 86,37%. So MODIS Surface Reflectance product can be used as alternative solution to generate ambient air temperature.
An Evaluation of MODIS Global Evapotranspiration Product as Satellite-Based Evapotranspiration Data for Supporting Precision Agriculture in West Papua - Indonesia Arif Faisol; Indarto Indarto; Elida Novita; Budiyono Budiyono
JOURNAL OF TROPICAL SOILS Vol 26, No 1: January 2021
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2021.v26i1.43-49

Abstract

Precision Agriculture has been a significant issue since the middle of the 1980s. Evapotranspiration is one of the main parameters in precision agriculture to analyze real water needs in the agriculture area and managing water resources. Traditionally evapotranspiration estimates by directly measured methods, i.e., lysimeter, pan-evaporation, eddy covariance, Bowen ratio, soil water, and climate data analysis. These methods are expensive techniques with low spatial representativeness. The utilization of remote sensing technology is expected to be an alternative solution for providing evapotranspiration data with a cost-effective and high spatial representative. This research aims to evaluate the MODIS global evapotranspiration as satellite-based evapotranspiration in estimating evapotranspiration in West Papua. Four (4) statistical parameters, i.e., mean error (ME), root means square error (RMSE), relative bias (RB), and mean bias factor (MBF), are using for evaluation. The research showed that MODIS global evapotranspiration was overestimated in estimating evapotranspiration in West Papua. However, MODIS global evapotranspiration has an acceptable accuracy in estimating evapotranspiration in West Papua indicated by ME = 0.66 mm/day, RMSE = 0.94 mm/day, RB = 0.27, and MBF = 0.81. Therefore, MODIS global evapotranspiration can be used as an alternative solution for providing evapotranspiration data in West Papua with a cost-effective.
PEMETAAN POTENSI BAHAYA BANJIR DI KABUPATEN MANOKWARI MELALUI PEMANFAATAN DATA GLOBAL PRECIPITATION MEASUREMENT (GPM) DAN ANALISIS BENTANG LAHAN Arif Faisol; Indarto Indarto; Elida Novita; Budiyono Budiyono
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 9, No 2 (2020): Juni 2020
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.551 KB) | DOI: 10.23960/jtep-l.v9i2.96-103

Abstract

Rainfall data is the main parameter in flood analysis. The limited number of climate stations and rain stations in Manokwari due to low spatial representativeness of rainfall. This study aims to utilize Global Precipitation Measurement (GPM) as a satellite-based rainfall observer to analyze and floods hazard mapping in Manokwari. The method used in this research is landscape analysis. Research showed that almost all areas in Manokwari had high levels of flood hazard at any period except Tanah Rubuh district.
EVALUASI DATA CLIMATE HAZARDS GROUP INFRARED PRECIPITATION WITH STATION (CHIRPS) DENGAN DATA PEMBANDING AUTOMATIC WEATHER STATIONS (AWS) DALAM MENGESTIMASI CURAH HUJAN HARIAN DI PROVINSI PAPUA BARAT Budiyono Budiyono; Arif Faisol
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 10, No 1 (2021): Maret
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v10i1.64-72

Abstract

This research aims to evaluate the CHIRPS data in estimating daily rainfall in West Papua compared with automatic weather stations (AWS) data recording. The data used in this research are daily CHIRPS data and AWS daily data recording 1996 to 2020 from AWS Rendani–Manokwari, AWS Jefman–Raja Ampat, AWS Torea–Fakfak, and AWS Kaimana–Kaimana. CHIRPS data were evaluated using the Point to Pixel method based on numerical and categorical parameters i.e., root mean square error (RMSE), mean error (ME), mean absolute error (MAE), Pearson correlation (r), probability of detection (POD), critical success index (CSI), and T-test. The research showed that CHIRPS had a significant difference to AWS data in estimating daily rainfall in West Papua based on a T-test. However CHIRPS has a moderate accuracy in estimating daily rainfall in West Papua with RMSE = 8.59 mm, ME=2.75 mm, and MAE = 5.15 mm and had a moderate positive correlation with AWS data with r= 0.43. Besides, CHIRPS has good accuracy in detecting rain events in West Papua indicated by a POD = 0.72 and CSI = 0.43. Therefore, CHIRPS data can be used as an alternative solution for providing rainfall data in West Papua.   Keywords:  satellite observation, rainfall predictor, point to pixel 
KOMPARASI ANTARA CLIMATE HAZARDS GROUP INFRARED PRECIPITATION WITH STATIONS (CHIRPS) DAN GLOBAL PRECIPITATION MEASUREMENT (GPM) DALAM MEMBANGKITKAN INFORMASI CURAH HUJAN HARIAN DI PROVINSI JAWA TIMUR Arif Faisol; Indarto Indarto; Elida Novita; Budiyono Budiyono
Jurnal Teknologi Pertanian Andalas Vol 24, No 2 (2020)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jtpa.24.2.148-156.2020

Abstract

Climate Hazzard Group Infrared Precipitation with Station (CHRIPS) dan Global Precipitation Measurement (GPM) merupakan pengamat curah hujan berbasis satelit. CHIRPS dan GPM menyediakan data hujan harian serta digunakan secara luas pada berbagai bidang, diantaranya pertanian hidrologi, dan lingkungan. Penelitian ini bertujuan untuk membandingkan performa CHIRPS dan GPM dalam membangkitkan informasi curah hujan harian di Jawa Timur. Data yang digunakan pada penelitian ini adalah data hujan harian CHIRPS versi 2.0, GPM versi 6.0, dan automatic weather station (AWS) perekaman tahun 2015 – 2019. Pengujian yang dilakukan adalah uji presisi dan akurasi. Hasil penelitian menunjukkan bahwa CHIRPS versi 2.0 lebih presisi serta lebih akurat dari GPM versi 6.0 dalam membangkitkan informasi curah hujan harian di Jawa Timur. Namun GPM versi 6.0 lebih akurat dalam mendeteksi hujan serta memiliki korelasi yang lebih baik terhadap data hujan lokal (AWS).
Pemanfaatan Data Global Precipitation Measurement (GPM) dan Standardized Precipitation Index (SPI) untuk Deteksi Kekeringan Meteorologis di Provinsi Papua Barat Arif faisol; Budiyono Budiyono; Indarto Indarto; Elida Novita
Jurnal Agritechno Jurnal Agritechno, Vol. 13, Number 1, April 2020
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (748.766 KB) | DOI: 10.20956/at.v13i1.242

Abstract

Drought is a natural disaster in Indonesia. The National Disaster Management Agency (BNPB) reports that West Papua Province has a moderate to high threat of drought. This study aims to analyze the level of drought in West Papua Province using Global Precipitation Measurement (GPM) data and the Standardized Precipitation Index (SPI) method. The results showed that throughout 2019 there was no meteorological drought in West Papua, only a few areas in Kaimana were rather dry in the January-March 2019 SPI. In general, the GPM data and the SPI method have quite good accuracy in describing the level of meteorological drought in The Province of West Papua is compared with the analysis of rainfall data and drought level maps released by the Meteorology, Climatology and Geophysics Agency (BMKG), so that the GPM data and SPI method can be used to monitor the level of drought in West Papua Province especially in agricultural areas.
Comparison between Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) Methods to Identify Meteorological Drought in West Papua Arif Faisol; Budiyono Budiyono
Agritechnology Vol 5 No 2 (2022): Edisi Desember
Publisher : Fakultas Teknologi Pertanian, Universitas Papua, Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51310/agritechnology.v5i2.89

Abstract

The Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) methods have been widely used to monitor meteorological droughts, especially in Indonesia. This study aims to compare the SPI and SPEI methods in identifying meteorological drought in West Papua. This research consists of 3 (three) main stages, i.e., climate data inventory acquired from 1996 to 2020, drought level analysis using SPI and SPEI methods, and comparison SPI and SPEI drought index. The results showed that the drought level in West Papua is moderately dry to moderately wet based on the SPI method, and near normal to moderately wet based on the SPEI method. Generally, the SPI and SPEI methods have a strong correlation in analyzing drought in West Papua although in some periods there were significant differences in index values.
Co-Authors Arif Faisol Elida Novita indarto indarto