Abstract:
Percentage of poor people is an indicator used to measure poverty in an area. Riau
Province has data on the percentage of poor people that fluctuates. In this study, the
Fourier series nonparametric regression method was used to model the percentage of poor
people in the Regency/City Riau Province in 2014-2018. Factors that are thought to
influence the percentage of poor people in Riau Province are the open unemployment
rate, per capita expenditure, and the average length of schooling. This study resulted in
the best Fourier series model at 𝐾 = 4 with a minimum GCV value of 33.50 with 16 model
parameters and produces a MAPE value of 17.61%, which means that the MAPE value
is in the second category, which is good.
