Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient

Artificial Neural Network Backpropagation is known as one of the most reliable methods of predicting. The algorithm used in this research is Conjugate Gradient algorithm, with gold data data of input data for training data. The price of gold becomes an issue in the market, as a precious metal that c...

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Autor principal:	yuslena Sari
Formato:	article
Lenguaje:	EN ID
Publicado:	P3M Politeknik Negeri Banjarmasin 2018
Materias:	Conjugate Gradient Artificial Neural Network Backpropagation Prediksi Emas Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/036bc611320845b78e77c63320ff282a
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spelling	oai:doaj.org-article:036bc611320845b78e77c63320ff282a2021-12-02T10:53:02ZPrediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient2598-32452598-328810.31961/eltikom.v1i2.21https://doaj.org/article/036bc611320845b78e77c63320ff282a2018-01-01T00:00:00Zhttp://eltikom.poliban.ac.id/index.php/eltikom/article/view/21https://doaj.org/toc/2598-3245https://doaj.org/toc/2598-3288Artificial Neural Network Backpropagation is known as one of the most reliable methods of predicting. The algorithm used in this research is Conjugate Gradient algorithm, with gold data data of input data for training data. The price of gold becomes an issue in the market, as a precious metal that can be used for investment is very interesting to make a gold price prediction application. Gold prices continue to increase in the world market, making investors interested to invest in this precious metal. The application of gold price prediction will be very useful for investors of precious metals. Gold price data used in this research is daily data, taken 3 (three) last year and divided into test data and data testing. Test data is used to generate new weights for data testing. The parameters used in the measurement of evaluation of predicted results from Conjugate Gradient algorithm Artificial Neural Network Backpropagation method is Meant Square Error (MSE), where the result of MSE from this research is 0.0313651yuslena SariP3M Politeknik Negeri BanjarmasinarticleConjugate GradientArtificial Neural NetworkBackpropagationPrediksiEmasElectrical engineering. Electronics. Nuclear engineeringTK1-9971Information technologyT58.5-58.64ENIDJurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, Vol 1, Iss 2, Pp 64-70 (2018)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	Conjugate Gradient Artificial Neural Network Backpropagation Prediksi Emas Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64
spellingShingle	Conjugate Gradient Artificial Neural Network Backpropagation Prediksi Emas Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64 yuslena Sari Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient
description	Artificial Neural Network Backpropagation is known as one of the most reliable methods of predicting. The algorithm used in this research is Conjugate Gradient algorithm, with gold data data of input data for training data. The price of gold becomes an issue in the market, as a precious metal that can be used for investment is very interesting to make a gold price prediction application. Gold prices continue to increase in the world market, making investors interested to invest in this precious metal. The application of gold price prediction will be very useful for investors of precious metals. Gold price data used in this research is daily data, taken 3 (three) last year and divided into test data and data testing. Test data is used to generate new weights for data testing. The parameters used in the measurement of evaluation of predicted results from Conjugate Gradient algorithm Artificial Neural Network Backpropagation method is Meant Square Error (MSE), where the result of MSE from this research is 0.0313651
format	article
author	yuslena Sari
author_facet	yuslena Sari
author_sort	yuslena Sari
title	Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient
title_short	Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient
title_full	Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient
title_fullStr	Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient
title_full_unstemmed	Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient
title_sort	prediksi harga emas menggunakan metode neural network backropagation algoritma conjugate gradient
publisher	P3M Politeknik Negeri Banjarmasin
publishDate	2018
url	https://doaj.org/article/036bc611320845b78e77c63320ff282a
work_keys_str_mv	AT yuslenasari prediksihargaemasmenggunakanmetodeneuralnetworkbackropagationalgoritmaconjugategradient
_version_	1718396509820551168

Prediksi Harga Emas Menggunakan Metode Neural Network Backropagation Algoritma Conjugate Gradient

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