Wahidah Sanusi, Sukarna, Nur Harisahani
Makassar is an area that has a monsoon rainfall pattern. This study aims to find a quantile regression model and 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 can detect extreme rainfall conditions, 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 (R2), namely the 0.8th quantile (θ) of 0.28%. Furthermore, based on the model, it is found that the factor that humidity significantly influences rainfall in the city of Makassar. At the same time, the air temperature and wind speed have no significant effect on rainfall in the city of Makassar. © 2023 Author(s).
Department of Mathematics, FMIPA, Universitas Negeri Makassar, Jl. A.P. Pettarani, Makassar, 90222, Indonesia
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