Jessica, Jessica and Hansun, Seng (2016) Forecasting Motorcycle Sales Using Nearest Symmetric Trapezoidal Fuzzy Number. Ultimatics : Jurnal Teknik Informatika, 8 (2). ISSN 2085-4552
Full text not available from this repository.Abstract
A business activity aimed at obtaining forecasting as an initial step in planning activities helps provide an overview of sales in a business for the coming period based on data available. This research aims to design and develop a motorcycle sales forecasting application using Fuzzy Time Series with Nearest Symmetric Trapezoidal Fuzzy Number approach to predict the next period sales of PT Mutiara Motor. To test the accuracy of the method used in application, we used the MSE and MAPE criteria. Based on the results of three experiments taken: (1) monthly ‘All Category’-’All Type’ with MSE = 54.42 and MAPE = 4.28%, (2) monthly ‘Beat CW Fuel Injection’ with MSE = 3.67 and MAPE = 4.04%, and (3) daily ‘All Category’- ’All Type’ with MSE = 1.42 and MAPE = 27.36% we indicate that Fuzzy Time Series with Nearest Symmetric Trapezoidal Fuzzy Number approach could give higher accuracy than the Single Exponential Smoothing method as comparison in forecasting motorcycle sales.
| Item Type: | Article |
|---|---|
| Keywords: | fuzzy time series, nearest symmetric trapezoidal fuzzy number, sales forecasting |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 19 Oct 2021 07:27 |
| Last Modified: | 19 Oct 2021 07:27 |
| URI: | https://kc.umn.ac.id/id/eprint/18875 |
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