Authors : Ilyas Husti, Akbarizan , Muhammad Marizal, Rado Yendra and Ahmad Fudholi
Abstract: The present study was aimed to investigate the trend of Zakat collection from Islamic Social Finance Report 2014 in Indonesia, Malaysia and Brunai by using exponential smoothing models. Among the models, Simple Exponetial Smoothing (SES) model is the best model for characteristic data with constant level and no seasonaility like Zakat collection in Brunai. However, Holt’s Exponential Smoothing (HES) model showed a better fit to the actual data in comparison to the SES model for characteristic data with increasing or decreasing trend and no seasonality like Zakat collection in Indonesia and Malaysia. The findings from this work supported that the HES model was found to give the best fit with the lowest Sum of Squares Errors (SSE) and could be used to precisely predict the future trends in order the future planning and to prepare the proper strategies for the counties.
Ilyas Husti, Akbarizan , Muhammad Marizal, Rado Yendra and Ahmad Fudholi, 2017. Forecasting Model Holt’s for the Zakat Collection in Indonesia, Malaysia and Brunai. The Social Sciences, 12: 2370-2374.