PERAMALAN KEBUTUHAN BANDWIDTH PADA JARINGAN KOMPUTER DENGAN METODE JARINGAN SARAF TIRUAN BACKPROPAGATION

Ikhtison Mekongga, M.Kom and Dr.Rachmat Gernowo , M.Si and Aris Sugiharto, M.Kom (2012) PERAMALAN KEBUTUHAN BANDWIDTH PADA JARINGAN KOMPUTER DENGAN METODE JARINGAN SARAF TIRUAN BACKPROPAGATION. Masters thesis, Universitas Diponegoro.

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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 biological 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

Item Type:Thesis (Masters)
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Postgraduate Program > Master Program in Information System
ID Code:35988
Deposited By:Mr Musa MSI
Deposited On:28 Aug 2012 13:53
Last Modified:28 Aug 2012 13:53

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