Forecasting of stock prices on the Indonesian Sharia Stock Index (ISSI) using backpropogation artificial neural network

Dede Arseyani Pratamasyari
2021 Natural Science Journal of Science and Technology  
Forecasting is a method for estimating a value in the future by looking at data in the past. In this study, the author will discuss the results of forecasting the price of the Islamic stock index using a backpropogation artificial neural network. The results show that the forecasting value of the stock closing price at ISSI for the next 1 period April 2018 is an average of 192,6842. After getting the forecast value, then it is compared with the actual average data, which is 185.4748. the amount
more » ... of error generated greatly affects the number of inputs and the selection of the right network architecture pattern. Keywords: Prediction, Backpropogation, ISSI
doi:10.22487/25411969.2021.v10.i02.15622 fatcat:3gzd6mtkubhhxhyvazezeyof3u