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All Journal InComTech: Jurnal Telekomunikasi dan Komputer
Azhari, Ardi
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Gold Price Prediction Using Linear Regression and Polynomial Regression Method Azhari, Ardi; Umniati, Naeli
InComTech : Jurnal Telekomunikasi dan Komputer Vol 15, No 1 (2025)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v15i1.27311

Abstract

Gold is a precious metal with high value from mining prices and usage. His ability to purchase power and gold was often used as an investment tool in protecting value and wealth (protector of value and wealth). The high demand for gold from year to year is increasing yearly. So, it is essential to have some knowledge in predicting gold prices which aims to find out the opportunities for gold prices that will happen in future. The purpose of this study is to predict the price of gold to find out the price of gold in the coming year. Predictions are made using linear regression and polynomial regression methods, which are then compared to get the best model for the dataset. The dataset used 5703 data from gold prices from 2000-2022.Keywords—Gold Prices, Prediction, Linear Regression, Polynomial Regression
Co-Authors Naeli Umniati