Open AccessPeramalan Jumlah Penumpang Datang Melalui Transportasi Udara Di Sulawesi Tengah Menggunakan Support Vector Regression (SVR)
Author(s) -
Drajat Indra Purnama
Publication year - 2020
Publication title -
jurnal ilmiah matematika dan terapan/jurnal ilmiah matematika dan terapan
Language(s) - English
Resource type - Journals
eISSN - 2540-766X
pISSN - 1829-8133
DOI - 10.22487/2540766x.2020.v17.i1.15186
Subject(s) - support vector machine , computer science , kernel (algebra) , transport engineering , geography , mathematics , engineering , artificial intelligence , combinatorics
The number of air transportation passengers in Central Sulawesi shows an increase and decrease every month. For this reason, a forecasting method is needed to predict the number of air transportation passengers in the future. Because the pattern of data on the number of air transportation passengers in Central Sulawesi Province has a nonlinear data pattern, a forecasting method is needed that can overcome these problems where in this study using the SVR model. In this study, the SVR model uses the RBF kernel function to overcome nonlinear data patterns and uses the grid search method to obtain the optimal parameters of the model.