The picture below describe the outline of the submitted thesis topic by Ni`mah Firsta C. S. This study try to solve the problem within stock movement in Indonesia based on Bursa Efek Saham Indonesia. The selection of feature with genetic algorithm expected to get the best individual that will be proceed later with Artificial Neural Network and Support Vector Machine algorithm. The result produce by the following algorithms will be compared to understand which algorithm will be deliver the best result based on the problem.

Analisa Feature Selection dengan Algoritme Genetika pada Prediksi Nilai Saham Perbankan