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All Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi
Ramadhan, Yudhi Raymond
Sekolah Tinggi Teknologi Wastukancana
Computer Science & IT

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Linear Regression Method Predicting BMRI Stock Price Using Machine Learning Ashar, Kholik Zaenudin; Muttaqin, Muhammad Raffi; Ramadhan, Yudhi Raymond
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 3: Desember 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i3.1427

Abstract

Investing in stocks carries considerable risk as stock prices fluctuate depending on market conditions and company performance. Therefore, it is necessary to analyze stock price movements so that investors can use the analysis results to make investment decisions. In this study, using the linear regression method, machine learning is used to predict the closing price of Bank Mandiri Tbk (BMRI) shares. The attributes used in this research are Open, High, and Low as inputs and Close labels to determine the prediction value. The data obtained is processed using Visual Studio Code tools with the Python programming language. This research focuses on assessing the value of error and precision, mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE). Based on the tests conducted, the results obtained an error value of 960.97 for the MSE value, 30.9995 for the RMSE value, and 0.57% for the MAPE value. 
Co-Authors Ashar, Kholik Zaenudin Muttaqin, Muhammad Raffi