eprintid: 12161
rev_number: 33
eprint_status: archive
userid: 71
dir: disk0/00/01/21/61
datestamp: 2014-04-26 04:43:05
lastmod: 2016-03-17 11:29:02
status_changed: 2014-04-26 04:43:05
type: thesis
metadata_visibility: show
creators_name: MUHAMMAD ASFARUDIN, NIM. 09650051
title: STUDI KOMPARASI PERAMALAN 
HARGA PENUTUPAN JAKARTA ISLAMIC INDEX (JII) 
DENGAN METODE GENERALIZED REGRESSION NEURAL NETWORK DAN FEED FORWARD NEURAL NETWORK
ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
keywords: Keyword: Generalized Regression Neural Network, Feed Forward Neural network, stock index, Jakarta Islamic Index, GRNN, FFNN,time series data, andforecasting.
note: Pembimbing: Nurochman, S.Kom., M.Kom
abstract: 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.
date: 2013-01-11
date_type: published
institution: UIN SUNAN KALIJAGA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   MUHAMMAD ASFARUDIN, NIM. 09650051  (2013) STUDI KOMPARASI PERAMALAN HARGA PENUTUPAN JAKARTA ISLAMIC INDEX (JII) DENGAN METODE GENERALIZED REGRESSION NEURAL NETWORK DAN FEED FORWARD NEURAL NETWORK.  Skripsi thesis, UIN SUNAN KALIJAGA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/12161/1/BAB%20I%2C%20V%2C%20DAFTAR%20PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/12161/31/BAB%20II%2C%20III%2C%20IV.pdf