Perancangan Simulasi Sistem Prediksi Arah Gerak Indeks Harga Saham Gabungan Berbasis Adaptive Neuro-fuzzy Inference System

Fat, Joni and Wardhani, Lydwina (2014) Perancangan Simulasi Sistem Prediksi Arah Gerak Indeks Harga Saham Gabungan Berbasis Adaptive Neuro-fuzzy Inference System. SMAP 2014.

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Abstract

The Simulation system using Fuzzy Inference System (FIS) method in this research could predict the daily closing price trend. the simulation system uses technical indicator as input variables. the FIF's type Sugeno. The defuzzification method is wtaver. Neural Network (NN) is used to update the range of membership function for labels in each variabel. the simulation output is a price change variabel. This system accuracy is about 61.55%

Item Type: Article
Subjects: Penelitian > Fakultas Teknik
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: Puskom untar untar
Date Deposited: 13 Mar 2018 08:09
Last Modified: 13 Mar 2018 08:09
URI: http://repository.untar.ac.id/id/eprint/1775

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