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

*Ikhthison Mekongga -  Departement of Computer Engineering Sriwijaya State of Polytechnic, Palembang, Indonesia 30139
Rahmat Gernowo -  Jurusan Fisika, Fakultas Sains dan Matematika Universitas Diponegoro, Semarang
Aris Sugiharto -  Program Studi Teknik Informatika, Fakultas Sains dan Matematika Universitas Diponegoro, Semarang
Published: 18 Jun 2012.
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Language: ID

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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

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