PENGARUH SELF ORGANIZING MAP TERHADAP BACKPROPAGATION DALAM MEMPREDIKSI HARGA CRYPTOCURRENCY

HEDITIANTO, EWALDO HARYOSENO and Yusliani, Novi and Marieska, Mastura Diana (2020) PENGARUH SELF ORGANIZING MAP TERHADAP BACKPROPAGATION DALAM MEMPREDIKSI HARGA CRYPTOCURRENCY. Undergraduate thesis, Sriwijaya University.

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Abstract

The backpropagation algorithm is an artificial neural network algorithm which is used to predict, but the backpropagation algorithm requires a target value in the prediction process. In this study the target value is obtained from winning neurons, which is obtained by using the self organizing map algorithm which is usually used to cluster large data. The accuracy rate of cryptocurrency predictions using the backpropagation algorithm in this study is 96.97%, and the prediction results of cryptocurrency using self organizing map and backpropagation algorithm is 98.83%. The results obtained are not significant, less than 2%. Keywords: cryptocurrency price prediction, backpropagation, self organizing map

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	cryptocurrency price prediction, backpropagation, self organizing map
Subjects:	T Technology > T Technology (General) > T58.5-58.64 Information technology > T58.5 General works Management information systems Cf. HD30.213 Industrial management Cf. HF5549.5.C6+ Communication in personnel management Cf. TS158.6 Automatic data collection systems (Production control)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 6793 not found.
Date Deposited:	30 Jul 2020 08:07
Last Modified:	30 Jul 2020 08:07
URI:	http://repository.unsri.ac.id/id/eprint/31973

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