JURNAL MEDIA INFORMATIKA BUDIDARMA
Vol 6, No 2 (2022): April 2022

Forecasting Stok Sparepart Sepeda Motor Menggunakan Metode Double Exponential Smoothing(DES)

Gusrina Surianingsih (STMIK Royal, Kisaran)
Havid Syafwan (STMIK Royal, Kisaran)
Andy Sapta (STMIK Royal, Kisaran)



Article Info

Publish Date
25 Apr 2022

Abstract

PT. Anugerah Karya Abiwara II is a company engaged in the service sector in the workshop that serves its customers. The problem that occurs is the difficulty of determining the goods and the number of goods that must be provided every month in order to continue to meet customer needs. Stock or inventory is a number of goods provided by the company to meet consumer demand. Without adequate inventory, a business will not run smoothly. Therefore, to be more efficient, the authors designed a forecasting system with the Double Exponential Smoothing method using Visual Basic 2010 programming and MySQL database. The data predicted for the past 1 year are April 2021-March 2022 and the data will be forecasted in April. By calculating the Double Exponential Smoothing, the MAD value is 46.65, MSE 3975.26, RMSE 63.05, and the MAPE value is 21.48%, which means that the forecasting accuracy is almost 80%. So the algorithm with the DES method can be applied to the spare part stock forecasting process making it easier to determine the spare part stock in the next period.

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Journal Info

Abbrev

mib

Publisher

Subject

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

Description

Decission Support System, Expert System, Informatics tecnique, Information System, Cryptography, Networking, Security, Computer Science, Image Processing, Artificial Inteligence, Steganography etc (related to informatics and computer ...