Prediksi Harga Saham Menggunakan Neural Network

Abstract

One of the central economic movements Bursa Efek Indonesia (BEI) and IDX every day trade the company's stock exchanges, the overall movement of the stock. One sector that is in IDX and IDX is the mining sector, which is a company related to the mine or komoditas. Hal can also affect the company's stock price and a positive influence on the Indeks Harga Saham Gabungan(IHSG) movement. With the prediction of stock price, it is very helpful to investors in decision making. In addition to predicting the conventional methods can also be used in the Neural Network (Artificial Neural Network). A neural network makes predictions based on the input descriptor variables are presented to the network and the associated weights dijaringan connection. In the prediction using neural netwok there are several algorithms that are often used as propagation and optimization with conjugate gradient. The algorithm predicts using training data set by adjusting the weights to reduce the prediction error.