Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Sains & Teknologi Modifikasi Cuaca Formosa Journal of Science and Technology (FJST)
Lutfi Fitriano, Lutfi
Unknown Affiliation
Humanities Computer Science & IT Education Industrial & Manufacturing Engineering Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
METODE PENCUPLIKAN NILAI ECHO CITRA RADAR *.PNG DENGAN REFERENSI SPASIAL DAN KOMBINASI WARNA RGB Purwadi, Purwadi; Fitriano, Lutfi
Jurnal Sains & Teknologi Modifikasi Cuaca Vol 18, No 1 (2017): June 2017
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.733 KB) | DOI: 10.29122/jstmc.v18i1.2043

Abstract

IntisariData meteorologi yang berupa citra/gambar sulit dianalisis dan dikombinasikan dengan data lain. Dalam tulisan ini akan dijelaskan metode pencuplikan citra/gambar radar yang dipublikasikan oleh BMKG menjadi data teks. Proses pengolahan terdiri dari dua tahap yaitu proses pemetaan setiap pixel dalam citra radar menjadi koordinat bumi (latitude dan longitude) dan penentuan nilai echo radar (dBZ). Dari legenda pada citra radar didapatkan 9 pola warna RGB yang digunakan sebagai penentu nilai dBZ setiap pixel dalam citra radar. Hasil pengolahan citra radar berupa data teks yang terdiri dari longitude, latitude, dan nilai dBZ. Untuk membandingkan dengan data asli, data radar teks hasil pengolahan ditampilkan pada Website Global Informasion System (WebGIS). Warna data radar pada WebGIS ditentukan dengan persamaan warna sebagai fungsi dari nilai dBZ. Secara kualitatif, hasil perbandingan gambar radar asli dengan data numerik yang ditampilkan pada WebGIS menunjukkan bahwa hasil data numerik cukup presisi pada posisi longitude dan latitude. Namun, dari segi nilai numerik echo radar (dBZ) yang dihasilkan terdeteksi kurang akurat pada batas awan karena latar belakang gambar yang berwarna hitam.   AbstractMeteorological data in the form of image has difficulty in further analysis such as to combine the data with other data sources. In this research, the proposed method for converting image data into texts using image processing for BMKG data provided is presented. The processing scenarios consist of two main steps; mapping process of every pixel of the images into the earth coordinate (latitude and longitude) step and radar echo values estimation in dBZ step. From the analysis, the 9 color patterns of RGB are obtained and used as the dBZ justification tool for the pixel color of radar image. The results of this image processing step are the texts data of latitude, longitude and the radar echo values in dBZ. In order to compare the analysis results with the original data, the processing data are then reshown to global information system website (WebGIS). The radar color data on WebGIS is determined based on color equation as a function of the echo radar. Qualitatively, the results of this comparison show that the numerical data results are precise in terms of longitude and latitude positions. However, in terms of numerical values echo radar (dBZ), the results perform less accurate especially on the boundary of the cloud due to the black color of background image.  
METODE PENCUPLIKAN NILAI ECHO CITRA RADAR *.PNG DENGAN REFERENSI SPASIAL DAN KOMBINASI WARNA RGB Purwadi, Purwadi; Fitriano, Lutfi
Jurnal Sains & Teknologi Modifikasi Cuaca Vol 18, No 1 (2017): June 2017
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.733 KB) | DOI: 10.29122/jstmc.v18i1.2043

Abstract

IntisariData meteorologi yang berupa citra/gambar sulit dianalisis dan dikombinasikan dengan data lain. Dalam tulisan ini akan dijelaskan metode pencuplikan citra/gambar radar yang dipublikasikan oleh BMKG menjadi data teks. Proses pengolahan terdiri dari dua tahap yaitu proses pemetaan setiap pixel dalam citra radar menjadi koordinat bumi (latitude dan longitude) dan penentuan nilai echo radar (dBZ). Dari legenda pada citra radar didapatkan 9 pola warna RGB yang digunakan sebagai penentu nilai dBZ setiap pixel dalam citra radar. Hasil pengolahan citra radar berupa data teks yang terdiri dari longitude, latitude, dan nilai dBZ. Untuk membandingkan dengan data asli, data radar teks hasil pengolahan ditampilkan pada Website Global Informasion System (WebGIS). Warna data radar pada WebGIS ditentukan dengan persamaan warna sebagai fungsi dari nilai dBZ. Secara kualitatif, hasil perbandingan gambar radar asli dengan data numerik yang ditampilkan pada WebGIS menunjukkan bahwa hasil data numerik cukup presisi pada posisi longitude dan latitude. Namun, dari segi nilai numerik echo radar (dBZ) yang dihasilkan terdeteksi kurang akurat pada batas awan karena latar belakang gambar yang berwarna hitam.   AbstractMeteorological data in the form of image has difficulty in further analysis such as to combine the data with other data sources. In this research, the proposed method for converting image data into texts using image processing for BMKG data provided is presented. The processing scenarios consist of two main steps; mapping process of every pixel of the images into the earth coordinate (latitude and longitude) step and radar echo values estimation in dBZ step. From the analysis, the 9 color patterns of RGB are obtained and used as the dBZ justification tool for the pixel color of radar image. The results of this image processing step are the texts data of latitude, longitude and the radar echo values in dBZ. In order to compare the analysis results with the original data, the processing data are then reshown to global information system website (WebGIS). The radar color data on WebGIS is determined based on color equation as a function of the echo radar. Qualitatively, the results of this comparison show that the numerical data results are precise in terms of longitude and latitude positions. However, in terms of numerical values echo radar (dBZ), the results perform less accurate especially on the boundary of the cloud due to the black color of background image.  
PERBAIKAN ESTIMASI CURAH HUJAN BERBASIS DATA SATELIT DENGAN MEMPERHITUNGKAN FAKTOR PERTUMBUHAN AWAN Mulsandi, Adi; Mamenun, Mamenun; Fitriano, Lutfi; Hidayat, Rahmat
Jurnal Sains & Teknologi Modifikasi Cuaca Vol 20, No 2 (2019): December 2019
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (807.424 KB) | DOI: 10.29122/jstmc.v20i2.3810

Abstract

Intisari Permasalahan utama dalam mengestimasi curah hujan menggunakan data satelit adalah kegagalan membedakan antara awan cumuliform dengan awan stratiform dimana dapat menyebabkan nilai estimasi hujan under/overestimate. Dalam penelitian ini teknik estimasi curah hujan berbasis satelit yang digunakan adalah modifikasi Convective Stratiform Technique (CSTm). CSTm memiliki kelemahan ketika harus menghitung sistem awan konveksi dengan inti konveksi yang sangat luas karena akan memiliki nilai slope parameter kecil, sehingga menghasilkan estimasi curah hujan yang underestimate. Dengan melibatkan perhitungan faktor pertumbuhan awan di algoritma CSTm permasalahan tersebut dapat diatasi. Penelitian ini menerapkan algoritma CSTm dan faktor pertumbuhan awan (CSTm+Growth Factor) untuk mengestimasi kejadian hujan lebat yang menyebabkan banjir di Jakarta pada tanggal 24 Januari 2016 yang digunakan juga sebagai studi kasus di proyek pengembangan model NWP di BMKG. Hasil penelitian menunjukan bahwa perlibatan faktor pertumbuhan awan sangat efektif memperbaiki kelemahan teknik CSTm, diperlihatkan dengan peningkatan nilai korelasi dari 0.6 menjadi 0.8 untuk wilayah Kemayoran dan -0.1 menjadi 0.83 untuk wilayah Cengkareng. Secara umum gabungan teknik CSTm dan faktor pertumbuhan awan dapat memperbaiki estimasi nilai intensitas dan fase hujan. Abstract  The main problem in estimating rainfall using satellite data is a failure to distinguish between cumuliform and stratiform clouds, which can cause under/overestimate of rains. In this research, the Modified Convective Stratiform Technique (CSTm) has been used to estimate rainfall based on satellite data. The weakness of the CSTm technique is defined when calculating the convective cloud system within a widely convective point. Cloud convective will have a low value of parameter slope and produce an underestimate of rainfall. This issue can be resolved by calculating the cloud growth factor on CSTm. CSTm algorithm and cloud growth factor (CSTm+Growth Factor) has been applied to this research to estimate heavy rainfall for floods event in Jakarta area on January 24th, 2016. The result showed that the cloud growth factor is very effective in improving the weakness of rainfall estimation using the CSTm technique. Correlation between estimation and observation rainfall has increased from 0,6 to 0,8 on Kemayoran and from -0,1 to 0,83 on Cengkareng. The coupled method of CSTm and cloud growth factor significantly improve in estimating phase and intensity of rainfall.
Application of Weather Modification Technology for Wetting Peatlands as a Mitigation Measure for Forest and Land Fires in South Kalimantan Province Fitriano, Lutfi; Poniman, Aris; Harsono, Gentio
Formosa Journal of Science and Technology Vol. 3 No. 11 (2024): November 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v3i11.12220

Abstract

Weather Modification Operation (WMO) was conducted in South Kalimantan Province from July 29 to August 9, 2024, to support the wetting of peatland as a measure to mitigate forest and land fires. (karhutla). This operation was carried out by inserting superfine powder NaCl seeding material, which was sown into the clouds using the TNI AU's Casa 212-200 aircraft. Global and local weather factors were taken into account in determining the timing and location of seeding. El Niño and Indian Ocean Dipole (IOD) factors that were in the neutral phase as well as warm sea surface temperatures (+0.5°C to +2.0°C) around the waters of South Kalimantan contributed to the success of this operation. In the implementation of OMC, analysis of air humidity in the 925 to 500 mb layer showed the potential for convective cloud growth in most of the target areas, although humidity decreased on several days in certain layers. The implementation of the operation successfully increased rainfall in the target area, with rain intensity varying between 0 to 40 mm per day during the OMC period, resulting in significant wetting of peatland and an increase in groundwater table height (TMAT) at critical locations. The contribution of OMC successfully reduced the risk of forest and land fires by decreasing the number of hotspots in the priority peatland areas of South Kalimantan. In line with the Indonesian government's climate change mitigation strategy, we expect the long-term impact of this activity to reduce the intensity of forest and land fires and carbon emissions from peatlands in this area.
Co-Authors Adi Mulsandi ARIS PONIMAN Gentio Harsono Mamenun, Mamenun Purwadi Purwadi Rahmat Hidayat