Predict Foreign Exchange Revenue from CPO Commodity Exports Using Backpropagation Neural Network. (August 2019)

• Record Type: Journal Article
• Authors: Siregar, B; Sitompul, OS; Prayitno, OZ; Sulindawaty,
• Is Part Of: Journal of physics. Volume 1255(2019)
• Publication Date: 2019-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1255/1/012035
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Export of CPO and its derivative products is one of the biggest revenues for Indonesian foreign exchange. Through this research, predictions of foreign exchange earnings from CPO exports are made using backpropagation artificial neural networks. The data used in the form of export data for the period September 2013 to December 2016. The final results of this research using epoch 10000, learning rate 0.2, and hidden layer 10.