Ermatita, Ermatita (2024) Similarity Integration of Decision-Making Method and Data-Mining Method as A Preliminary Study of Novel Sales Forecasting Method. Turnitin Universitas Sriwijaya. (Submitted)
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Turnitin - Integration of Decision-Making Method and Data-Mining Method as A Preliminary Study of Novel Sales Forecasting Method.pdf Download (1MB) |
Abstract
Sales forecasting is intended to control the amount of available stock so that shortages or excess stock can be minimized, the fulfillment of consumer demand can be prepared on time, and cooperation with suppliers can be maintained properly. Therefore, this study aims to develop a new sales forecasting method that integrates the concept of RFM, the data-mining method, and the Best-Worst Method (BWM), where RFM is a strong-method in the field of database marketing and BWM is a new decision-making method. This research is a preliminary study that outlines the theory and phases of the proposed sales forecasting method. Based on the concept offered, research on the proposed sales forecasting method is very possible to be developed. This new sales forecasting method can be an alternative method for company management to optimize services to consumers, inventory efficiency, and predict the company's economic benefits in the future.
| Item Type: | Other |
|---|---|
| Subjects: | #3 Repository of Lecturer Academic Credit Systems (TPAK) > Results of Ithenticate Plagiarism and Similarity Checker |
| Divisions: | 09-Faculty of Computer Science > 55101-Informatics (S2) |
| Depositing User: | Dr Ermatita zuhairi |
| Date Deposited: | 25 Jun 2024 06:02 |
| Last Modified: | 25 Jun 2024 06:02 |
| URI: | http://repository.unsri.ac.id/id/eprint/147700 |
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