Amir Hamzah, Diyana Izyan and Rusiman, Mohd Saifullah and Che Him, Norziha and Shafi, Muhammad Ammar and Alma, Ozlem Gurunlu and Suhartono, Suhartono (2021) A time series analysis for sales of chicken based food product. In: https://doi.org/10.1063/5.0053699, 1-2 December 2020, UTHM.
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Abstract
This study provides a time series analysis and interpretation of the output for forecast sales of chicken based food product of weekly sales data. These data were collected directly from the outlet shop of one factory in Malacca started from January 2015 to December 2016. Methods of forecasting include autoregressive (AR) method and simple exponential smoothing (SES) method. The accuracy for both methods will be compared using mean squared error (MSE), mean absolute percentage error (MAPE) and mean absolute deviation (MAD). There will be 1 period ahead of predictions for AR method and 1 period ahead for SES method. This analysis found that AR method with AR (1) model is more accurate than SES method and can be used for the future prediction of chicken based food product of weekly sales data. Recommendations for future study is trying out other method to analyse this sales of chicken based food product and using R software to analyse the dataset.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | H Social Sciences > HG Finance > HG4001-4285 Finance management. Business finance. Corporation finance |
| Divisions: | Faculty of Applied Science and Technology > Department of Technology and Natural Resources |
| Depositing User: | Mr. Abdul Rahim Mat Radzuan |
| Date Deposited: | 25 Oct 2021 07:55 |
| Last Modified: | 25 Oct 2021 07:55 |
| URI: | http://eprints.uthm.edu.my/id/eprint/2618 |
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