PERAMALAN HARGA SAHAM DENGAN METODA ARTIFICIAL NEURAL NETWORK: Studi Kasus PT TELKOM Tbk.

• Main Author: Agus Pribadiana, Komang
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/1654
• Institution: Institut Teknologi Bandung

In evaluating any company's stocks trend , the availability of a prediction system with high accurate results is really needed by investors, planning, performance evaluation, decision making and anticipation plans. The most known prediction system based on statistics method are time series and causal method Because of the dynamic characteristics, it is very hard in modelling it by using statistics methods. In many cases, there are so many simplification and linearization took into account to the actual system that we lost the important essential of the system modeled. By this age of computer technology , make it easier in using Artificial Neural Network (ANN) for the purpose of modelling any complexity and dynamics system such as showed by stocks price behavior. One of the remarkable power in using ANN is its ability to learning the system, then use it in redicting the future data. In this research, we will apply ANN method to stock price data of PT. Telkom Tbk.