Comparison of Exponential Smoothing Method and Autoregressive Integrated Moving Average (ARIMA) Method in Predicting Dengue Fever Cases in the City of Palembang
Ensiwi Munarsih (a*), Imelda Saluza (b)
(a)Institute of pharmacy Bhakti Pertiwi Palembang
Jl.Ariodilla III No.22A Palembang
*ensiwi.munarsih[at]gmail.com
(b) Indo Global Mandiri University
Jl. Jend. Sudirman KM 4,5 Palembang
Abstract
Dengue fever is an acute disease caused by the dengue virus. Dengue fever is still a public health issue in major cities in Indonesia, one of which is Palembang. Based on the profile done by Palembang City-s Public Health Office in 2017, dengue fever cases in the area from year to year tend to fluctuates. To get the overview of the number of dengue fever cases in the upcoming years, time series forecasting methods are used, namely the Exponential Smoothing method and the Autoregressive Integrated Moving Average (ARIMA) method. Afterward, the results of predictions from the two methods are compared. Forecasting using the ARIMA method gives the smallest MSE and MAE results of 108077,877 and 172,424, respectively, compared to the Exponential Smoothing method. This means that the ARIMA method is better at predicting the number of dengue fever cases in Palembang in the coming years.
Keywords: Number of Cases of Dengue fever, MAE and MSE
Topic: Mathematics Education