The Design of UML-Based Sales Forecasting Application
Rendra Gustriansyah1, Nazori Suhandi2, Fery Antony3
1Rendra Gustriansyah, Faculty of Computer Science, Universitas Indo Global Mandiri, Palembang, Indonesia.
2Nazori Suhandi, Faculty of Computer Science, Universitas Indo Global Mandiri, Palembang, Indonesia.
3Fery Antony, Faculty of Computer Science, Universitas Indo Global Mandiri, Palembang, Indonesia.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1507-1511 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2641037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: It has now become an important research direction by applying UML as a concept of software development model. The Unified Modeling Language (UML) is a standard modeling language for visualizing the design of a system to make it easier for software developers to build a system. In this research, we designed software for sales forecasting application using best worst method (a new multi criteria decision making method) and adopted RFM concept (recency-frequency-monetary, one of the most popular data mining techniques) based on UML (use case diagram, class diagram, and sequence diagram). The proposed design is expected to accelerate the software development process, reduce complexity and minimize errors while building the software. Finally, through usability testing, sales forecasting application that has been designed based on UML had a user acceptance score of 85.0 (excellent level), so that the design of UML-based sales forecasting application can be used by all users.
Keywords: Data mining, Design, Sales forecasting Application, UML
Scope of the Article: Data Mining