Widiya Astuti
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摘要

降雨是影响西努沙登加拉省人民生活的气候因素之一。2016年12月,西努沙登加拉省(NTB)首府马塔兰市因降雨量增加而受到洪水灾害的影响。这导致马塔兰市的所有活动瘫痪。本研究旨在模拟2017年马塔兰市的降雨并确定降雨等级预测。采用傅立叶级数的非参数回归方法。根据已有的分析结果,在Selaparang站得到的最佳傅立叶级数非参数回归模型为节数为101,R2为0.959116的模型。对于Ampenan站,最佳模型为101节,R2值为0.966992。对于Cakranegara站,得到的最佳模型为节数106,R2值0.987778。
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Model Regresi Nonparametrik Deret Fourier pada Pola Data Curah Hujan di Kota Mataram
Rainfall is one of the elements of the climate that has influence on people's lives in West Nusa Tenggara Province. The capital city of West Nusa Tenggara Province (NTB), namely the City of Mataram, in December 2016 was affected by flood disaster due the rainfall increation. This causes all activities in the City of Mataram paralyzed. This study aimed to modelling the rainfall and to determine the rainfall grade prediction in the City of Mataram in 2017. The method used was nonparametric regression of Fourier series. Based on the results of the analysis that has been committed, the best Fourier series of nonparametric regression model obtained at the Selaparang station was a model with 101 number of knots and 0.959116 value of R2 . For the Ampenan station, the best model obtained with 101 knots and 0.966992 value of R2 . As well as for the Cakranegara station, the best model obtained with 106 number of knots and 0.987778 value of R2 .
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