International Journal of Engineering and Emerging Technology
Vol 2 No 1 (2017): January - June

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

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)

Article Info

Publish Date
23 Sep 2017

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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Journal Info
International Journal of Engineering and Emerging Technology
Website

Abbrev

ijeet

Publisher

Universitas Udayana

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

Description

International Journal of Engineering and Emerging Technology is the biannual official publication of the Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University. The journal is open to submission from scholars and experts in the wide areas of engineering, such as civil ...