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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) TELKOMNIKA (Telecommunication Computing Electronics and Control) Binus Business Review Jurnal ULTIMA InfoSys ComTech: Computer, Mathematics and Engineering Applications Jurnal Ilmu Komputer dan Desain Komunikasi Visual International Journal Science and Technology (IJST)
Ford Lumban Gaol
Bina Nusantara University
Arts Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics

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Journal : Jurnal ULTIMA InfoSys

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Finding Features of Multiple Linear Regression On Currency Exchange Pairs Raymond Sunardi Oetama; Ford Lumban Gaol; Benfano Soewito; Harco Leslie Hendric Spits Warnars
ULTIMA InfoSys Vol 13 No 1 (2022): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v13i1.2683

Abstract

Due to the prospects for financial gain, forex is always attractive to many people. However, because forex market analysis is not simple, a computer is needed to assist in creating predictions using features that are understandable to people. This study employs the Multilinear Regression technique to identify these kinds of features. The features and prediction target have a very strong correlation. With a very low RMSE and a very high R square, the prediction quality is quite outstanding. The outcome will help academics in the forex field use machine learning algorithms to make better predictions.
Co-Authors Abdinagoro, Sri Bramantoro Ario Adi Prasetyo Arta Moro Sundjaja Bahtiar S. Abbas Benfano Soewito Benny Ranti Edi Abdurachman Hari Setiabudi Husni Rakhmat Arianto Raymond Sunardi Oetama Ridha Sefina Samosir Sabarguna, Boy Subirosa Suhono Harso Supangkat Suzanna Suzanna Warnars, Harco Leslie Hendric Spits Yaya Heryadi