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All Journal Jurnal Sains dan Pendidikan Fisika Forum Geografi GEA, Jurnal Pendidikan Geografi Journal of the Civil Engineering Forum Jurnal Geografi, Edukasi dan Lingkungan Jurnal Geografi Eksakta : Berkala Ilmiah Bidang MIPA JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Teknologi Pertanian Andalas Social, Humanities, and Educational Studies (SHEs): Conference Series To Maega: Jurnal Pengabdian Masyarakat GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Edukasi dan Pengabdian kepada Masyarakat (JEPKM) Wahana Fisika : Jurnal Fisika dan Terapannya Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian
Arno, Giarno
(Scopus ID: 57188976838) Sekolah Tinggi Meteorologi Klimatologi Dan Geofisika
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Forum Geografi

 1 
Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait Giarno, G; Hadi, Muhammad Pramono; Suprayogi, Slamet; Murti, Sigit Heru
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5774

Abstract

This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table.
Suitable Proportion Sample of Holdout Validation for Spatial Rainfall Interpolation in Surrounding the Makassar Strait Giarno Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8351

Abstract

Spatial rainfall interpolation requires a number of suitable validation samples to maintain accuracy. Generally, the larger the areas which can be predicted, the better the interpolation. In addition, the data used for validation should be separated from the modelling data. Moreover, the number of samples determine optimally proportion the independent sites. The objective of this study is to determine the optimal sample ratio for holdout validation in interpolation methods; the Makassar Strait was chosen as the study location because of its daily rainfall variation. The accuracy of the sample selection is tested using correlation, root mean square error (RMSE), mean absolute error (MAE) and the indicators of contingency tables. The results show that accuracy depends on the ratio of the modelling data. Therefore, the more extensive the data used for interpolation, the better the accuracy. Otherwise, if the rain gauge data is separated according to province, there will be a variation in accuracy in the portion of independent samples. For rainfall interpolation, it is recommended to use a minimum 75% of data sites to maintain accuracy. Comparison between kriging and inverse distance weighting or IDW methods indicates that IDW is better. Moreover, rainfall characteristics affect the accuracy and portion of the independent sample.
Verification of Weather Predictions Using Voluntary Weather Observations Via WhatsApp and Google Forms During the Dry Season 2021 Giarno Giarno; Munawar Munawar; Ervan Ferdiansyah; Fendy Arifianto; Asri Pratiwi; Silvia Yulianti
Forum Geografi Vol 36, No 1 (2022): July 2022
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v36i1.16333

Abstract

The weather data that can be obtained through government institutions is very limited, whereas in order to increase the accuracy of weather predictions a homogeneous and dense distribution of data is needed. Therfore it is necessary to increase the data and the purpose of this research is to create a simple and effective way to encourage the number of weather observations in Indonesia through the STMKG Weather Care program. Forms that are made as easy as for respondents to understand, simple, and don't take the time. Developed using Google Form and distributed via the most popular social media today, namely WhatsApp. The test results showed that social media has the potential to be used to support voluntary weather data. The form made is sufficient so that the respondents make relatively few mistakes in terms of the main content of the form. Moreover, the mistakes that are often made by respondents include filling in ID, and typing sub-districts that require manual correction. Based on the results of voluntary observations spread in almost all provinces of Indonesia with the most incoming data coming from the provinces of Central Java and East Java. Based on the evaluation results of 4 months of testing, weather variations and their predictions can be identified with an accurate distribution, with an average accuracy of 0.79. Differences in methods used in verification may affect accuracy.
Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait G Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5774

Abstract

This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table.
Co-Authors Achmad Fahruddin Rais Agung Hari Saputra Agustina Rachmawardani Agustina Rachmawardani Agustina Rachmawardani Agustina Rachmawardani Ahmad Fadlan Ahmad Fadlan Alfi Dimas Pangedoan Aqasha Raechan Anam Aries Kristianto Asifin, Hasyid Agha Zuhairul Aslama Afghani, Fadhli Asri Pratiwi Asri Pratiwi Azan Kanezar MS Azan kenzer Bagus Prabadi Wibowo Bella Puspita dewi Christian Halawa, Jordana Dedi Sucahyono Dedi Sucahyono Dedi Sucahyono Didiharyono, D. Djoko Prabowo Duo Rahman Abdilah Dwiki Anugerah Atmojo Ervan Ferdiansyah Farhan Nul Hakim Fendy Arifianto Fendy Arifianto Fikri Asfahanif Filbert Pascalis Almer Mahendra Hafidz Syarifuddin Hana Amalina Hanifullah Hafidz Arrizal Hapsoro Agung Nugroho Hariyanto Hasibuan, Muhammad Ansori Hilmy Muhammad Rosyid Huda Wahyujati Ilham Abdullah Sidiq Ilil Firrizqi Nur Ilahi Imawan Mashuri Imawan Mashuri Imma Redha Nugraheni Khaerul Majdi Ash-shiddiqy M. Fatnan Hikami Marzuki Sinambela Muflihah Muflihah muflihah muflihah Muhammad Ansori Hasibuan Muhammad Devanio Afreza Muhammad Devanio Afreza Muhammad Pramono Hadi Muhammad Pramono Hadi Muhammad Pramono Hadi, Muhammad Pramono Mujahidin Mujahidin Mujahidin Mujahidin Munawar Munawar Munawar Munawar Musa Ali Mustofa Muzakkie, Muhammad Labieb Nurtiti Sunusi Puji Ariyanto Qosinatus Sa'diyah Ravaella Lumbantobing, Glory Salsabila Nurul Izzah Santosa, Sigit Herumurti Budi Sastra K. Wijaya Sayful Amri Sayful Amri Sa’diyah, Qosinatus Shidiq, Ilham Abdullah Sigit Heru Murti Silvia Yulianti Slamet Suprayogi Slamet Suprayogi Slamet Suprayogi Suharni Suharni Suko Prayitno Adi Sulistyowati Umaroh Veyqah Dwi Muthi'ah Yehezkiel Sidauruk, Vasco Yosafat Donni Haryanto Yosafat Donny Haryanto Yusuf Isa Nur Muhammad Zadrach Ledoufij Dupe Zauyik Nana Ruslana