PENERAPAN METODE ALGORITMA LONG-SHORT TERM MEMORY DALAM MEMPREDIKSI HARGA SAHAM BANK SYARIAH INDONESIA

RAHMAWATI, FITRIA (2022) PENERAPAN METODE ALGORITMA LONG-SHORT TERM MEMORY DALAM MEMPREDIKSI HARGA SAHAM BANK SYARIAH INDONESIA. Other thesis, Universitas Pesantren Tinggi Darul 'Ulum.

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Abstract

Bank Syariah Indonesia is a bank that officially operates on February 1, 2021 after the merger between PT Bank BRI Syariah (BRIS), PT Bank Syariah Mandiri (BSM), and PT Bank BNI Syariah (BNIS). Then, because the stock price index must fluctuate in a short time, and potential investors need a view before investing in Bank Syariah Indonesia which are categorized as newly operating, a research will be conducted on stock price predictions using the LongShort Term Memory (LSTM) Algorithm. . The LSTM method is one solution in dealing with prediction models that have a large error or error value. The LSTM and Dense pattern parameters used in this study were 50 and 25 layers, epoch 1, and batch size 1. The resulting Root Mean Square Error (RMSE) was 15.081586201985678. While the Mean Absolute Percentage Error (MAPE) value is 5.810843804. Based on the RMSE and MAPE values, the average value of the difference between the closing stock price and the stock prediction price is 117.06 rupiah. So, the Long-Short Term Memory Algorithm method is a good method and can be used to predict the stock price of Bank Syariah Indonesia (BRIS.JK) because the error value is small. Keywords: Bank Syariah Indonesia, Stocks, Stock Price Prediction

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