TY  - JOUR
T1  - Forecasting Model Holt’s for the Zakat Collection in Indonesia,
Malaysia and Brunai
AU - Fudholi, Ahmad AU - Husti, Ilyas AU - , Akbarizan AU - Marizal, Muhammad AU - Yendra, Rado 
JO  - The Social Sciences
VL  - 12
IS  - 12
SP  - 2370
EP  - 2374
PY  - 2017
DA  - 2001/08/19
SN  - 1818-5800
DO  - sscience.2017.2370.2374
UR  - https://makhillpublications.co/view-article.php?doi=sscience.2017.2370.2374
KW  - Forecasting
KW  -holts winter
KW  -Zakat
KW  -trend
KW  -SSE
KW  -exponetial
AB  - 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.
ER  -