PERBANDINGAN PREDIKSI HARGA SAHAM DENGAN MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN DAN FUZZY TSUKAMOTO

WAHONO, ILHAM TEJO (2014) PERBANDINGAN PREDIKSI HARGA SAHAM DENGAN MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN DAN FUZZY TSUKAMOTO. Skripsi, Fakultas Ilmu Komputer.

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Abstract

With the rapid advancement of technology, almost anything can be predicted using the technology. One is to predict the stock price. Prediction of stock prices is very helpful for stock investors in terms of making decisions in the purchase of shares in the future. Making the right decision in the purchase of shares is an absolute requirement in the stock investment business. For it is necessary to have a method that can be used to predict future stock prices. Shares consist of two types, namely common stock or common stock and preferred stock or preferred stock common stock is a stock that is most popular in the community and for issuers, common stock are also used to find substantial funds from investors Therefore, the determination of the share purchase right is mandatory in need by brokers or traders and investors. Mistakes in making a purchase shares penjuaan tau can lead to a fatal loss for the broker or trader and investor. In the previous research have designed a web-based stock price prediction with Fuzzy Tsukamoto inference system based on the technical aspects, ie the bid price, demand and price inflation. To find out if there is a better method, then in this study conducted experiments using Backpropagation ANN method. By using the same input, it can be seen which method is more accurate in predicting stock prices

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