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Prediction of Non-Oil and Gas Export Development of the Republic of Indonesia Using the Backpropagation Algorithm
M Jundi Hakim (a*), Sfenrianto (b),Ahmad Yusuf Malik (c),Dr. Windu Gata (d),Siti Masturoh (e),Siti Fauziah (f), Yulianti (g), Fuji Astuti (h),Yeni Angraini (i)

a) Master Of Computer Science Postgraduate Program, STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
*junday86[at]gmail.com
b) Computer science, BINA NUSANTARA
sfenrianto[at]binus.edu
c) Master Of Computer Science Postgraduate Program, STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
14002182[at]nusamandiri.ac.id
d) Graduate School Master Degree Computer Science, STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
windu.gata[at]nusamandiri.ac.id
e) Master Of Computer Science Postgraduate Program, STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
sitimast2707[at]bsi.ac.id
f) Master Of Computer Science Postgraduate Program, STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
14002168[at]nusamandiri.ac.id
g) Master Of Computer Science Postgraduate Program, STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
yuleeseunggi[at]gmail.com
h) Master Of Computer Science Postgraduate Program, STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
14002194[at]nusamandiri.ac.id
i) Master Of Computer Science Postgraduate Program STMIK NUSA MANDIRI
Jalan Kramat Raya No.18,Jakarta Pusat 10420,Indonesia
yeniangraini3[at]gmail.com


Abstract

Prediction of Non-Oil and Gas Export Development of the Republic of Indonesia Using the Backpropagation Algorithm. Non-oil and gas commodities are goods that are not in the form of oil and gas, such as plantations, agriculture, livestock etc. The aim of the authors are to conduct this research to predict the development of Indonesias non-oil and gas exports from 2013 - 2018 using the backpropagation algorithm. By using this backpropagation algorithm it is exelecent to do predictive tasks with a fairly low error rate. The research data was obtained from the Badan Pusat Statistik (BPS).

Keywords: backpropagation,Prediction,Non-Oil

Topic: International Symposium of Engineering, Technology, and Health Sciences

Link: https://ifory.id/abstract/RjJtaH3MCAqc

Conference: The 3rd International Conference on Sustainability and Innovation (ICoSI 2019)

Plain Format | Corresponding Author (M Jundi Hakim)

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