Rendra, Gustriansyah and Ermatita, Ermatita and Dian Palupi, Rini and Reza, Firsandaya (2020) The Criteria That Have A Significant Effect on Forecasting the Number of Sales Using the Best-Worst Method. In: 020 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS), 19-20 Nov. 2020, Fakultas Ilmu Komputer UPN Veteran Jakarta.
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Abstract
Forecasting the number of sales is an effort for forecasting the number of product sales for a certain period in the future. The company's failure to supply products will have negative effects on the quality of service to customers, thereby reducing the company's competitiveness. One of the critical success factors on forecasting the number of sales is determining the criteria required by the decision support system. The problem is what criteria are needed or influential in forecasting the number of sales. Furthermore, most of the problems in decision making are uncertainties associated with input criteria. Therefore, this study will investigate the criteria that a significant effect in forecasting the number of sales by using the recent decision support method, namely the Best-Worst Method by considering uncertainty so that the optimum forecasting of the number of sales can be achieved. The results achieved in this study indicate that the three most significant criteria for forecasting the number of sales are frequency, quantity, and monetary. Preliminary experimental results have shown that perturbations in the case study had no significant effect on the final ranking of the decision support system criteria
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | best-worst method, decision support system, decision-making, sales forecasting, uncertainty |
| Subjects: | Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75.5.A142 Computer science. Information society. Information technology. |
| Divisions: | 09-Faculty of Computer Science > 57201-Information Systems (S1) |
| Depositing User: | Dr Ermatita zuhairi |
| Date Deposited: | 15 Mar 2022 08:01 |
| Last Modified: | 15 Mar 2022 08:01 |
| URI: | http://repository.unsri.ac.id/id/eprint/66126 |
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