QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019
Makassar is an area that has a monsoon rainfall pattern. This study aims to find a quantile regression model and to determine the factors that significantly influence rainfall in the city of Makassar. This applied research applies a quantile regression model to rainfall data which is seasonal data....
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Universitas Pattimura
2023-04-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5810 |
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| author | Wahidah Sanusi Sukarna Sukarna Nur Harisahani |
| author_facet | Wahidah Sanusi Sukarna Sukarna Nur Harisahani |
| author_sort | Wahidah Sanusi |
| collection | DOAJ |
| description | Makassar is an area that has a monsoon rainfall pattern. This study aims to find a quantile regression model and to determine the factors that significantly influence rainfall in the city of Makassar. This applied research applies a quantile regression model to rainfall data which is seasonal data. The advantage of this quantile regression model is that it is able to detect extreme conditions of rainfall, such as heavy rain. The data used is daily data in 2019. The estimation results obtained 9 (nine) models from each quantile used. The best model is obtained based on the largest coefficient of determination ( ), namely the 0,8th quantile ( ) of 0.28%. Furthermore, based on the model, it is found that the factor that significantly influences rainfall in the city of Makassar is humidity. At the same time, the air temperature and wind speed have no significant effect on rainfall in the city of Makassar. |
| format | Article |
| id | doaj-art-7da27c7d3f014423bba273ce15900ca8 |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2023-04-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-7da27c7d3f014423bba273ce15900ca82025-08-20T03:35:55ZengUniversitas PattimuraBarekeng1978-72272615-30172023-04-011710001000810.30598/barekengvol17iss1pp0001-00085810QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019Wahidah Sanusi0Sukarna Sukarna1Nur Harisahani2Department of Mathematics, FMIPA, Universitas Negeri Makassar, IndonesiaDepartment of Mathematics, FMIPA, Universitas Negeri Makassar, IndonesiaDepartment of Mathematics, FMIPA, Universitas Negeri Makassar, IndonesiaMakassar is an area that has a monsoon rainfall pattern. This study aims to find a quantile regression model and to determine the factors that significantly influence rainfall in the city of Makassar. This applied research applies a quantile regression model to rainfall data which is seasonal data. The advantage of this quantile regression model is that it is able to detect extreme conditions of rainfall, such as heavy rain. The data used is daily data in 2019. The estimation results obtained 9 (nine) models from each quantile used. The best model is obtained based on the largest coefficient of determination ( ), namely the 0,8th quantile ( ) of 0.28%. Furthermore, based on the model, it is found that the factor that significantly influences rainfall in the city of Makassar is humidity. At the same time, the air temperature and wind speed have no significant effect on rainfall in the city of Makassar.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5810quantile regressionrainfallmakassarseasonal data |
| spellingShingle | Wahidah Sanusi Sukarna Sukarna Nur Harisahani QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 Barekeng quantile regression rainfall makassar seasonal data |
| title | QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 |
| title_full | QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 |
| title_fullStr | QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 |
| title_full_unstemmed | QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 |
| title_short | QUANTILE REGRESSION MODEL ON RAINFALL IN MAKASSAR 2019 |
| title_sort | quantile regression model on rainfall in makassar 2019 |
| topic | quantile regression rainfall makassar seasonal data |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5810 |
| work_keys_str_mv | AT wahidahsanusi quantileregressionmodelonrainfallinmakassar2019 AT sukarnasukarna quantileregressionmodelonrainfallinmakassar2019 AT nurharisahani quantileregressionmodelonrainfallinmakassar2019 |