Prediction of Banking Stock Prices Using Naïve Bayes Method

Abstract

Bank Rakyat Indonesia (BRI) is one of the largest state-owned banks in Indonesia. It has prompted both local and foreign investors to buy shares in the largest bank in the country. Reading stock price trends is very important for investors to buy or sell the shares they own. The method usually used by investors is fundamental analysis and technical analysis. Analysis by reading financial reports is quite complicated and requires high accuracy. Besides that, it takes much time because of the large amount of data available. A banking stock price prediction can be a solution to make it easier for investors to read stock price movements. In this study, the authors will design a web-based system to predict banking stock prices using the Naïve Bayes method. This system can provide investors with ease and effectiveness in reading stock price movements.