Jurnal Mantik
Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)

Implementation Of Secos Algorithm In Forecasting Gold Prices To Improve Business Intelligence Using Mse Accuracy Value Measurement

Meri Anisa Br Purba (Universitas Prima Indonesia)
Krisdorin Lase (Universitas Prima Indonesia)
Alisha Indah Sari Sembiring (Universitas Prima Indonesia)
Lamhot M.E. Panjaitan (Universitas Prima Indonesia)
Adya Zizwan Putra (Universitas Prima Indonesia)

Article Info

Publish Date
30 Aug 2021

Abstract

SECOS is one of the artificial neural networks that can be used in this study to make a prediction or forecasting of gold prices. This research will produce a combination of parameters, namely learning rate 1, learning rate 2, error threshold that will be carried out on the system then in the training process the data is quite influential on the resulting error value. From the results of the combination of parameters and testing with the SeCos algorithm shown in Figure 4.2, the smallest error value at layer 3 is 54262,375, which is obtained from the learning rate 1 parameter is 0.5, learning rate 2 is 1, learning rate 3 is 1.5. while the largest error value is 46023.9375. The results of the SECOS algorithm in forecasting the gold price can run well, which shows that the model from the implemented training and testing data can predict gold prices.

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Journal Info
Jurnal Mantik
Website

Abbrev

mantik

Publisher

Institute Of Computer Science

Subject

Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

Description

Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public ...