Forecasting the Export and Import Volume of Crude Oil, Oil Products and Gas Using ANN

The purpose of this study is to see the development of the volume (value) of exports and Imports of oil and gas in Indonesia in the form of estimated results for the coming years. Research data was taken from the Central Statistics Agency and the Indonesian Customs Service. Data is divided into 7 va...

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Bibliographic Details
Published in:Journal of physics. Conference series 2019-08, Vol.1255 (1), p.12016
Main Authors: Wanto, Anjar, Herawan Hayadi, B., Subekti, Purwo, Sudrajat, Dadang, Wikansari, Rinandita, Bhawika, Gita Widi, Sumartono, Eko, Surya, Sara
Format: Article
Language:English
Subjects:
Algorithms
Back propagation networks
Crude oil
Exports
Imports
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Summary:The purpose of this study is to see the development of the volume (value) of exports and Imports of oil and gas in Indonesia in the form of estimated results for the coming years. Research data was taken from the Central Statistics Agency and the Indonesian Customs Service. Data is divided into 7 variables, namely; In the year, crude oil exports, crude oil Imports, oil exports, oil Imports, gas exports and gas Imports. The application of the method for estimating the volume of Crude Oil, Oil Products and Gas export Imports is the ANN backpropagation algorithm with 4 network architectural models namely; 12-5-1, 12-8-1, 12-10-1 and 12-14-1. The best network architectural model is 12-5-1 with an accuracy of 83% and MSE 0.0281641257. The minimum error used is 0.001-0.05 with a learning rate of 0.01. While the activation function used is bipolar and linear sigmoid with gradient descent training function.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1255/1/012016