DocumentCode :
3697560
Title :
Forecasting Avian Influenza incidence in Java and Madura area
Author :
Adhistya Erna Permanasari;Irma Kurnia Utami;Indriana Hidayah;Sri Suning Kusumawardani; Samkhan
Author_Institution :
Department of Electrical Engineering and Information Technology, Gadjah Mada University, Jl. Grafika no. 2, Yogyakarta 55281, Indonesia
fYear :
2015
Firstpage :
212
Lastpage :
216
Abstract :
Avian Influenza is a disease that becomes serious outbreak within animal population at Indonesia. The outbreak not only gives impact on economic losses for farmers but also threats human health. Time series forecasting of Avian Influenza incidence is implemented to predict the occurrence of disease in the future. The result is valuable for the decision maker to make strategic planning to control the outbreaks. This research applied ARIMA method to forecast Avian Influenza incidence in Java and Madura Island. The data were obtained from Animal Disease Investigation Center of Wates Yogyakarta. ARIMA is used because it can be updated rapidly in order to adapt to new data. The relationship between dependent and independent variable in ARIMA model is easy to interpret. The result shows that ARIMA may represent the future incident model in the case of Avian Influenza in Java and Madura Island. ARIMA has MSE=623.4764, Theil´s U1=0.447343 and Theil´s U2=0.908758.
Keywords :
"Influenza","Forecasting","Autoregressive processes","Mathematical model","Predictive models","Time series analysis","Data models"
Publisher :
ieee
Conference_Titel :
Control, Electronics, Renewable Energy and Communications (ICCEREC), 2015 International Conference on
Type :
conf
DOI :
10.1109/ICCEREC.2015.7337047
Filename :
7337047
Link To Document :
بازگشت