JURNAL SISTEM INFORMASI BISNIS
Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012

The Prediction of Bandwidth On Need Computer Network Through Artificial Neural Network Method of Backpropagation

Mekongga, Ikhthison (Unknown)
Gernowo, Rahmat (Unknown)
Sugiharto, Aris (Unknown)



Article Info

Publish Date
18 Jun 2012

Abstract

The need for bandwidth has been increasing recently. This is because the development of internet infrastructure is also increasing so that we need an economic and efficient provider system. This can be achieved through good planning and a proper system. The prediction of the bandwidth consumption is one of the factors that support the planning for an efficient internet service provider system. Bandwidth consumption is predicted using ANN. ANN is an information processing system which has similar characteristics as the biologic al neural network.  ANN  is  chosen  to  predict  the  consumption  of  the  bandwidth  because  ANN  has  good  approachability  to  non-linearity.  The variable used in ANN is the historical load data. A bandwidth consumption information system was built using neural networks  with a backpropagation algorithm to make the use of bandwidth more efficient in the future both in the rental rate of the bandwidth and in the usage of the bandwidth.Keywords: Forecasting, Bandwidth, Backpropagation

Copyrights © 2012






Journal Info

Abbrev

jsinbis

Publisher

Subject

Computer Science & IT Economics, Econometrics & Finance

Description

JSINBIS merupakan jurnal ilmiah dalam bidang Sistem Informasi bisnis fokus pada Business Intelligence. Sistem informasi bisnis didefinisikan sebagai suatu sistem yang mengintegrasikan teknologi informasi, orang dan bisnis. SINBIS membawa fungsi bisnis bersama informasi untuk membangun saluran ...