JEECS (Journal of Electrical Engineering and Computer Sciences)
Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)

Honda Motorcycle Stock Forecasting System Using Double Exponential Smoothing Method (case Study of Honda Dealer PT

Tommy Ferdiansyah (Universitas Bhayangkara Surabaya)
Rifki Fahrial Zainal (Universitas Bhayangkara Surabaya)
Arif Arizal (Universitas Bhayangkara Surabaya)



Article Info

Publish Date
28 Jun 2019

Abstract

Stock in the warehouse of PT. Delta Sari Agung Sidoarjo is currently unstable, therefore between in and out stock is still out of control. Forecasting is estimating the state of the future through testing the state of the past. In social life, everything is uncertain and difficult to predict accurately, so forecasting is needed. In other words forecasting aims to get forecasting that can minimize forecasting errors (forecast error) which is usually measured by mean square error, mean absolute error, and so on. The Double Exponential Smoothing method is used for forecasting by determining the amount of α (alpha), as well as the smoothing process twice and this study is compared with ANNMatlab. From the results of the comparison of the trial system forecasting and JST-Matlab there is a difference of 16 motorbikes from the remaining stock, which is for the results of forecasting 622 and JST-Matlab 638 results.

Copyrights © 2019






Journal Info

Abbrev

jeecs

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Description

We aims to promote high-quality Electrical Engineering and Computer Sciences research among academics and practitioners alike, including power system, electrical engineering, industry automation, mechatronics, computer sciences, informatics, and information system. This journal is dedicated for the ...