PENERAPAN TRANSFORMASI DATA DISCRETE WAVELET TRANSFORM PADA NEURAL NETWORK UNTUK PREDIKSI HARGA SAHAM
Research on stock prices is still interesting for researchers. As in this study, ANTM's stock price closing data is used as a data set that is processed to be then predicted in the future. The Neural Network method is a method that is very widely used by researchers because of its various advantages. While the Discrete Wavelet Transform method is used to transform data to improve data quality so that it is expected to improve Neural Network performance. Based on experiments conducted by the Neural Network method with the Binary Sigmoid activation function which also carried out data transformation with Discrete Wavelet Transform, it has produced a smaller RMSE than prediction experiments without using data transformation with Discrete Wavelet Transform.
Keywords: Prediction, Stock Prices, Neural Network, Discrete Wavelet Transform
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