ANALYSIS PREDICTION OF THREE INDONESIAN BANKING STOCKS FROM BCA, BNI AND MANDIRI USING ADAPTIVE NEURAL - FUZZY INFERENCE SYSTEM (ANFIS) AND INVESTMENT STRATEGIES.

• Main Author: BUDI TRIANTO (NIM: 10209005), ANDRIANTAMA
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/17959
• Institution: Institut Teknologi Bandung

Indonesians's living income has increased significantly which gives people advantage to invest their money in stockstock market share. The price stocks that are used are provided by three national banks, BCA, BNI, and MANDIRI. To help these investors, we can use a method called Adaptif Neural – Fuzzy Inference System (ANFIS). ANFIS is divided into two main parts, neural adaptif network and fuzzy system. ANFIS uses the Takagi – Sugeno rules and Generalized bell (Gbell) for their membership function. ANFIS uses the hybrid system for their learning system, which consist of forward and backward learning system to predict stock prices in future. After predicting, we implementing active and passive strategic investment. By utilizing this method, it will allow investors to predict the stock prices movement and might be used to gaining more profit. The purpose of this reasearch is to find out whether ANFIS can be used as a helping tool in stock investment