DISTANCE: Journal of Data Science, Technology, and Computer Science
Vol 1 No 1 (2021): December : 2021

Application of Exponential Smoothing Method for Forecasting Clothing Sales at Ria Clothing Stores

Fiahati Laia (STMIK Pelita Nusantara)
Hasanul Fahmi (STMIK Pelita Nusantara)



Article Info

Publish Date
01 Dec 2021

Abstract

Forecasting is one of the methods in data mining that can be used as the most important tool in effective planning, especially in the economic field. Forecasting the right product sales will be realized if a plan and analysis are made to determine how much sales volume must be achieved. Ria Busana is having problems not being able to increase profits and experiencing excess or shortage of inventory. In addition, sales data processing uses a manual system, resulting in sales continuing to experience losses. One of the forecasting methods based on time series cycles is to use the Exponential Smoothing method, this method is a continuous improvement procedure for forecasting new objects of observation by focusing on lowering a higher priority for forecasting than older observations.

Copyrights © 2021






Journal Info

Abbrev

distance

Publisher

Subject

Computer Science & IT

Description

DISTANCE: Journal of Data Science, Technology and Computer Science is an international peer-reviewed biannual journal (June and December) published by Pustaka Timur Publisher. It is dedicated to interchange for the articles of high-quality research in the field of Data Science, Technology, and ...