Prediksi Harga Saham Bank Bri Menggunakan Algoritma Linear Regresion Sebagai Strategi Jual Beli Saham

Shares are securities as proof of ownership investors in a company. Stocks have volatile nature, this makes stocks difficult to predict. Stock prediction is an effort estimate the stock price, especially Bank Rakyat Indonesia company that will appear future, and increase investors' profit opportunities making investment decisions. During COVID-19 pandemic, BRI's shares experienced significant ups downs four months, which illustrates sensitivity event. Therefore, it important predict prices reduce risk accepted by investors. The itself requires time series data. Time data collected sequentially from time. method used for Linear Regression because can handle time-series Based on these problems, research be conducted at using method. share price were obtained investing.com website period starting January 1, 2008, June 2020. processed preprocessing determine attributes, remove unnecessary change contents type, then process split divide dataset into training test attributes study Date Price distribution 60:40, 65:35, 70:30, 75:25, 80:20. best ratio 80:20 produces train accuracy 0.89 0.91, Then each testing entered linear regression model prediction. error results predictions calculated MAPE yielded percentage 13.751% data, 13.773% 13.755% overall indicate BRI Bank.