| dc.description.abstract | The location of Indonesia which is between the Pacific and Indian Ocean causes the climate to
be influenced by the global condition in bath oceans. The goal of this research is to use
modelling to predict the length of the rainy season. To do this we use support vector
regression (SVR), and the southern oscillation index (SOl) from the Pacific Ocean and the
dipole mode index from the Indian Ocean as the predictor variables. The predictive value of
this model is evaluated with determination coefficient (R2) and root mean square error
(RMSE). The data used in this research is the length of rai ny season data from three weather
stations in Pacitan district (Arjosari, Kebon Agung, Pringkuku) between 198211983 and
2011/2012 periods as the observation data. SOl and DMI between 1982 and 2011 used in this
research as the predictor data. The rcsult of this research is a prediction model for each
climate station. The best R 2 for Arjasari, Kebon Agung, and Pringkuku weather stations are
0.73,0.63, and 0.58 respcctivcly. Meanwhilc, the best RMSE for Arjasari, Kebon Agung, and
Pringkuku weather stations are 2.45, 3.23, and 2.86 respectively. | id |
