TY  - THES
N1  - Pembimbing: Nurochman, S.Kom., M.Kom
ID  - digilib12161
UR  - https://digilib.uin-suka.ac.id/id/eprint/12161/
A1  - MUHAMMAD ASFARUDIN, NIM. 09650051
Y1  - 2013/01/11/
N2  - One of the most important things for investor is knowing future stock price. There are many methods to do forecasting.Generalized Regression Neural Networkand Feed forward Neural Network are the most popular of Artificial neural network to forcast time series data. 
Normalization is the first step of time series forcasting using artificial neural network algorithm. Normalization was needed to increase forecasting accuration. The next step after normalization is forecasting it self. 
The comparison result reveal that Generalized Regression Neural Network is superior to Feed Forward Neural Network in forecasting of Jakarta Islamic Index.
PB  - UIN SUNAN KALIJAGA
KW  - Keyword: Generalized Regression Neural Network
KW  -  Feed Forward Neural network
KW  -  stock index
KW  -  Jakarta Islamic Index
KW  -  GRNN
KW  -  FFNN
KW  - time series data
KW  -  andforecasting.
M1  - skripsi
TI  - STUDI KOMPARASI PERAMALAN 
HARGA PENUTUPAN JAKARTA ISLAMIC INDEX (JII) 
DENGAN METODE GENERALIZED REGRESSION NEURAL NETWORK DAN FEED FORWARD NEURAL NETWORK
AV  - restricted
ER  -