Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Arif, Hariyanto
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Engineering Medicine & Pharmacology Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pemanfaatan Citra Landsat 8 Oli/Tirs Untuk Penentuan Zona Potensi Penangkapan Ikan (ZPPI) Di Perairan Kabupaten Wakatobi Arif, Hariyanto; Saleh, Fitra; Jaya, Golok
JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Vol 2, No 2 (2018): JAGAT (Jurnal Geografi Aplikasi dan Teknologi)
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (627.169 KB) | DOI: 10.33772/jagat.v2i2.6357

Abstract

Penentuan posisi tangkapan ikan dapat diprediksi dengan menggunakan parameter oseanografi yaitu suhu permukaan laut (SPL) dan klorofil-a. Penelitian ini bertujuan untuk mengetahui sebaran SPL dan klorofil-a serta distribusi spasial zona potensi penangkapan ikan (ZPPI) di perairan Kabupaten Wakatobi. Proses pemetaan dilakukan dengan mengolah data citra Landsat 8 OLI/TIRS selama 1 tahun dimulai pada bulan Januari sampai Desember 2017 kemudian dianalisis. Analisis yang dilakukan menggunakan algoritma Syariz untuk penentun SPL dan algoritma Laili untuk penentuan klorofil-a. Hasil analisis pengolahan citra kemudian di overlay untuk menghasilkan peta ZPPI. Konsentrasi suhu permukaan laut hasil pengukuran in situ dikorelasikan dengan menggunakan akurasi RMSE dan determinasi (R2) dengan suhu permukaan laut hasil pengolahan citra. Hasil penelitian menunjukkan nilai RMSE 0,58 untuk band 10 dan 0,34 untuk band 11 sedangkan untuk determinasi (R2) yaitu 0,75 untuk band 10 dan 0,94 untuk band 11.Kata Kunci: ZPPI, Landsat 8, Suhu Permukaan Laut, Klorofil-aDOI : 10.5281/zenodo.3354728
Analysis of Air Quality during the COVID-19 Pandemic Using Remote Sensing Data in DKI Jakarta Arif, Hariyanto; Djojomartono, Prijono Nugroho
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2021: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.616 KB) | DOI: 10.23917/iseth.1206

Abstract

The distribution of air pollution in an area can be determined by using remote sensing data. This study aims to (1) identify and inventory the parameters determining the level of air quality; (2) implementing a number of algorithms to measure air quality using remote sensing data; and (3) evaluate the results of air quality calculations from remote sensing data with in-situ data in the field. The map-making process is carried out by processing Landsat 8 OLI/TIRS image data for 1 year starting from January to December 2020 in DKI Jakarta and by applying a number of algorithms. The algorithms used in determining air quality include: the algorithm developed by Othman to measure the PM10 concentration, the Somvashi algorithm to measure the CO concentration, the SO2 concentration determined by applying the Hasan algorithm, and the algorithm developed by Alserory to calculate the NOx concentration in the air. Air quality parameters that can be known by using Landsat 8 OLI/TIRS satellite imagery are PM10, CO, SO2, and NOx. These results are then correlated with the SPKU belonging to the DKI Jakarta Environment and Forestry Service. The PM10 parameter has a correlation of -0,13, 0,26, -0,72, -0,25 and -0,18. The next parameter is SO2 with correlation values -0.02, 0,3, -0,6, -0,4 and -0,3. As for the CO parameter, it cannot do the correlation test because the value of the satellite image processing results is 1. -0,39, -0,34, -0,31, -0,45, and -0,53 are the correlation values for the NOx parameter. Based on these results, it is necessary to develop a new algorithm and make adjustments to certain areas to analyze air quality, so that it can produce reliable and accountable information on air quality.
Co-Authors Djojomartono, Prijono Nugroho Jaya, La Ode Muhammad Golok Saleh, Fitra