Analysis of Data Mining for Forecasting Total Goods Delivery with Moving Average Method

(Case Study: Agent "X" Expedition "Z")

  • M. Azman Maricar Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
  • Putu Widiadnyana Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
  • I Wayan Arta Wijaya Department of Electrical and Computer Engineering, Udayana University

Abstract

In the logistics and distribution of goods, the expedition service is necessary, because the expedition is an important part of a business that has a strong attachment to the distribution. The number of deliveries from an expedition per period is uncertain, sometimes the number increases or decreases. This may result in an imbalance between existing facilities and employees and the number of shipments from customers or company policies. To overcome this, required forecasting techniques that are able to predict total shipments, as well as predict which goods and products are the most widely sent. The moving average method using the last 5 period data is used as a way of forecasting. MAPE (Mean Absolute % Error) is used as a test method, and a result of 34 %, indicates that the method is feasible to use.

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Published
2017-09-23
How to Cite
MARICAR, M. Azman; WIDIADNYANA, Putu; ARTA WIJAYA, I Wayan. Analysis of Data Mining for Forecasting Total Goods Delivery with Moving Average Method. International Journal of Engineering and Emerging Technology, [S.l.], v. 2, n. 1, p. 7-10, sep. 2017. ISSN 2579-5988. Available at: <https://ojs.unud.ac.id/index.php/ijeet/article/view/34436>. Date accessed: 07 dec. 2022.