UMN Site Traffic Prediction using Technical Method
Alvin Alexander1, Seng Hansun2

1Alvin Alexander, Department of Informatics, Universitas Multimedia Nusantara, Tangerang, Indonesia.
2Seng Hansun, Department of Informatics, Universitas Multimedia Nusantara, Tangerang, Indonesia.

Manuscript received on 13 August 2019 | Revised Manuscript received on 19 August 2019 | Manuscript published on 30 August 2019 | PP: 3501-3504 | Volume-8 Issue-10, August 2019 | Retrieval Number: J97380881019/19©BEIESP | DOI: 10.35940/ijitee.J9738.0881019
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: The Marketing division of Universitas Multimedia Nusantara has a role in attracting prospective students to join and continue their next level of education. To help their task, the Marketing division needs an application that can predict the site traffic profile visits for the next following day. Therefore, a website-based application was created to assist the Marketing division. We used the Weighted Moving Average algorithm to calculate the number of subsequent visitors and its future prediction number. We also used the Weighted Mean Absolute Percentage Error after getting the prediction results to get the error rate of a prediction made. In the implementation process that has been done, the percentage error is 2.57%. The built application also had been evaluated by the UMN Marketing division employees by the means of questionnaires to find out how satisfied the application was.
Index Terms: Marketing, Universitas Multimedia Nusantara, Weighted Moving Average, Weighted Mean Absolute Percentage Error.

Scope of the Article: Regression and Prediction