| dc.description.abstract | Coal is one of the non-renewable natural resources. The use of coal is generally used as
a steam power plant. Coal is the main source of energy in electricity generation. At least
27% of the world's total energy output and more than 39% of all electricity is generated
by coal-fired power plants. Increased consumption of coal in the domestic market is due
to the large number of steam power plants. So it takes prediction of coal consumption to
determine the policy to be taken. Fuzzy Time Series is one of the Soft Computing methods
that have been used and applied in time series data analysis. Fuzzy Time Series has
advantages that do not require assumptions such as forecasting with classical methods.
In this research apply the method of Fuzzy Time Series Second-Order (FTSS) and
Stevenson & Porter (FTSSP). The data used are the data of the three largest coal
consumption countries in Southeast Asia, namely Indonesia, Vietnam and Thailand. In
predicting the largest coal consumption using the Fuzzy Time Series Secound-Order
method, the RMSE value for Indonesia is 2,8 and the MAPE value is 7,9, the RMSE value
is 1,1 and the MAPE value is 10,9 and for Thailand the RMSE value is 1,1 and MAPE
value of 8,3, the method of Fuzzy Time Series Stevenson & Porter obtained RMSE value
for Indonesia of 1,8 and MAPE value of 3.3, for Vietnam RMSE value of 0,9 and MAPE
value of 5,9 And for Thailand with RMSE value of 0,6 and MAPE value of 3,2. | en_US |
