Abstract
Forecasting seems to be the most important tool for any organization and individual in making any decision. It is very important for them to know about the future by making a prediction on what will happen in future. In this case, the type of predictiont hat had been chose is time series forecast. This research is involve Syarikat Penerbangan Malaysia (MAS) as an organization who willing and be able to give support especially in data collection as the main material for forecasting research.MAS itself is eager to know about the result that will be the main output at the end of this research. The data that had been collected was passengers departure from Kuala Lumpur, Johor Bahru and Kuching in year 2000 until 2005. This research will be use the Box-Jenkins methodology and Neural Network methodology. This research generally will cover data analysis that will use a few of software such as SPSS, Statistica 6.0, Matlab 7.0 and Microsoft product. The main goal of this research is to get the best forecasting model that will give the most precise result.
Website : http://ir.fsksm.utm.my/961/
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