Jurnal Riset Informatika
Vol. 4 No. 4 (2022): September 2022

FORECASTING OYSTER MUSHROOM SALES USING THE DOUBLE EXPONENTIAL SMOOTHING METHOD AT KUB RUMAH MUSHROOM BERSAMA

Winda Wulandari (STMIK Royal Kisaran)
Havid Syafwan (STMIK Royal Kisaran)
Muhammad Ihsan (STMIK Royal Kisaran)

Article Info

Publish Date
24 Sep 2022

Abstract

The amount of oyster mushroom production is often not by consumer orders due to a lack of attention to the mushroom stock in the Mushroom House KUB. The purpose of this study is to apply double exponential smoothing (DES) to predict future sales of oyster mushrooms so that consumer needs are met. This research method uses quantitative methods. The data source comes from data on sales of oyster mushrooms from June 2021-May to 2022. The data is analyzed using double exponential smoothing based on alpha and MAPE values. The results showed that an alpha of 0.6 with a MAPE value of 6.23% was the alpha with the smallest MAPE. This study concluded that the double exponential smoothing method could accurately predict future oyster mushroom sales.

Copyrights © 2022




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Full PDF
912.963 KB
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
Jurnal Riset Informatika
Website

Abbrev

jri

Publisher

KresnaMedia Publisher

Subject

Computer Science & IT

Description

Jurnal Riset Informatika, merupakan Jurnal yang diterbitkan oleh Kresnamedia Publisher. Jurnal Riset Informatika, berawal diperuntukan menampung paper-paper ilmiah yang dibuat oleh peneliti dan dosen-dosen program studi Sistem Informasi dan Teknik ...