Page 40 - Proceeding The 2nd International Seminar of Science and Technology : Accelerating Sustainable Innovation Towards Society 5.0

nd
The 2 International Seminar of Science and Technology
“Accelerating Sustainable innovation towards Society 5.0”
ISST 2022 FST UT 2022
Universitas Terbuka
Table 2. ntree and error values for Random Forest method

Based on Table. 2. The smallest MAPE, RMSE and MSE values are
12.866, 1.287 and 1.656 respectively using a ntree value of 50. With
an error value below 15%, it is included in the good category.
Therefore, the Random Forest method can be used to predict the
demand for gold in Indonesian jewellery. The following is a graph of
forecasting results using the Random Forest method using a ntree
value of 50.
Based on the graph in Figure. 2 The data from the forecasting results
are quite good in following the data pattern or not much different from
the actual data pattern. The graph also shows the results of
forecasting for each quarter in quartile IV/2021 to quartile IV/2022. As
seen in the graph, the demand for gold for Indonesian state jewellery
in the period IV/2021 to the next IV/2022 tends to decline.

ISST 2022 – FST Universitas Terbuka, Indonesia 19
International Seminar of Science and Technology “Accelerating Sustainable
Towards Society 5.0