Article Per Year (5 Year)
p-Index From 2019 - 2024
3.441
P-Index
This Author published in this journals
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
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

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
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.
Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed Arif Faisol; Indarto Indarto
JOURNAL OF TROPICAL SOILS Vol 15, No 2: May 2010
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2010.v15i2.147-152

Abstract

Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed (A Faisol and Indarto): Erosion is one  factor that cause soil degradation in Indonesia. RUSLE (Revised Universal Soil Loss Equation) is widely used to predict average annual rate of soil erosion. This research integrate the Revised Universal Soil Loss Equation (RUSLE) and Geographic Information System (GIS) to predict potential soil erosion losses. Study was conducted at Sampean Watershed where located in Eastern part of East Java. Firstly, GIS layer was obtained from available database that cover East Java Province. All treatment of GIS layer was done using Mapwindows GIS. Furthermore, RUSLE method was used to predict rate of soil erosion from GIS layer treated previously.  Results showed that up to 82% (102,921 ha) area of the watershed have tolerable soil erosion rate.
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 
Potensi Pemanfaatan Data Iklim Berbasis Citra Satelit untuk Pengembangan Lahan Pertanian di Provinsi Papua Barat Arif Faisol; Atekan
Igya ser hanjop: Jurnal Pembangunan Berkelanjutan Vol 2 No 2 (2020)
Publisher : Badan Penelitian dan Pengembangan Provinsi Papua Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47039/ish.2.2020.69-80

Abstract

Terbatasnya stasiun iklim di Papua Barat mengakibatkan sebagian wilayah di Papua Barat tidak memiliki data iklim sehingga menjadi kendala dalam menentukan kawasan yang sesuai untuk pengembangan pertanian. Saat ini telah tersedia sejumlah citra satelit yang menyediakan atau dapat membangkitkan data iklim. Berdasarkan hasil uji kehandalan pada penelitian terdahulu, Global Precipitation Measurement (GPM) dan Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) memiliki akurasi yang cukup baik dalam membangkitkan data hujan harian di Papua Barat, dan citra Moderate Resolution Imaging Spectroradiometer (MODIS) memiliki akurasi yang sangat baik dalam membangkitkan suhu udara di Kabupaten Manokwari. Sehingga citra satelit khususnya GPM, CHIRPS, dan MODIS dapat menjadi solusi alternatif dalam penyediaan informasi iklim di Papua Barat dengan keterwakilan spasial yang cukup tinggi guna mendukung pengembangan kawasan pertanian di Papua Barat.
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).
Pemetaan Potensi Bahaya Gempa Bumi di Provinsi Papua Barat Menggunakan Metode Percepatan Tanah Maksimum dan Point Source Analysis Arif Faisol
Jurnal Natural Vol. 16 No. 1 (2020): Jurnal Natural
Publisher : FMIPA Universitas Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30862/jn.v16i1.47

Abstract

Earthquakes are one of the main hazards in West Papua. Based on information from the National Disaster Management Authority (BNPB), the frequency of the destroyed earthquakes in West Papua is more than 9 times from 2002 until 2015. Peak Ground Acceleration (PGA) is one factor that caused destroy on earthquakes. This parameter has been used in this research to estimate the level of earthquakes hazard in West Papua at any period that combined with Point Source analysis and Gumbel distributions method. Seismic data recording of 1970 – 2017 that obtained from Meteorological, Climatological, and Geophysical Agency (BMKG) and United States Geological Survey (USGS) used in this research. The research shows that the level of earthquakes in West Papua is lower to the middle because the PGA value is < 0,70 g at any period. Generally, the level of earthquakes hazards in the north area more higher than in other areas because of some of the fault in the north area.
Uji Lapang Mesin Pemarut Sagu Tipe Silinder Bertenaga Motor Bakar Bensin Darma Darma; Arif Faisol; Mario M. Selano
Agritechnology Vol 2 No 2 (2019): Edisi Desember
Publisher : Fakultas Teknologi Pertanian, Universitas Papua, Manokwari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51310/agritechnology.v2i2.38

Abstract

Bengkel permesinan agroindustri Fateta Unipa telah menghasilkan berbagai prototype mesin pemarut sagu, salah satu diantaranya yaitu tipe silinder menggunakan sistem pemarutan dengan pengupasan kulit batang. Suatu prototype mesin wajib dilakukan uji lapang agar diketahui kinerja mesin pada kondisi yang sesungguhnya (real condition). Tujuan penelitian ini adalah pengujian lapangan mesin pemarut sagu tipe silinder bertenaga motor bakar bensin. Uji lapang dilakukan di Distrik Masni, Kabupaten Manokwari dengan melibatkan 2 keluarga pemilik dusun sagu. Evaluasi kinerja mesin pada kondisi lapang dilakukan dengan mengukur parameter (a) kapasitas pemarutan, (b) rendemen pati, (c) hasil pati, (d) kehilangan pati pada ampas dan (e) konsumsi bahan bakar bensin. Dari hasil uji lapang menunjukkan bahwa semua bagian mesin berfungsi dengan baik dan petani dengan mudah dapat mengoperasikan mesin tersebut. Selama pengujian tidak ditemui adanya kendala teknis. Performansi mesin pada kondisi lapang yaitu: (a) kapasitas pemarutan 621 kg/jam, (b) rendemen pati 41,5%, (c) hasil pati 479 kg/pohon, (d) kehilangan pati pati pada ampas 6,79% dan (e) konsumsi bahan bakar 1,05 liter/jam.
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.
Co-Authors Atekan Baso Daeng Bertha Ollin Paga Budiyono Budiyono Darma Darma Elida Novita Hostalige Hutasoit Indarto Indarto indarto indarto Joko Suryanto Mario M. Selano Mashudi Mashudi Risma Ulli Situngkir Samsul Bachri Siti Asfihana Rahmawati