Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Neo Journal of economy and social humanities
Muhammad Rizki
Institut Teknologi Batam
Humanities Economics, Econometrics & Finance Social Sciences

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Decision Support System for Digital Business Optimization: A Comparative Analysis of Sales Forecasting Using the Moving Average Method Dely Indah Sari; I Made Sondra Wijaya; Muhammad Rizki
Neo Journal of economy and social humanities Vol 5 No 1 (2026): Neo Journal of Economy and Social Humanities
Publisher : International Publisher (YAPENBI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56403/nejesh.v5i1.404

Abstract

This research aims to analyze and compare the accuracy of sales prediction fore-casting methods using three types of Moving Average (MA), namely Simple Moving Average (SMA), Weighted Moving Average (WMA), and Trend Semi Average in the context of digital business optimization. The MA method is used to identify sales trends and assist in planning more effective business strategies. The data used in this research is historical sales data from digital business companies during a certain period. Each MA method is applied to the data to produce sales predictions. The accuracy of each method was evaluated using Mean Absolute Percentage Error (MAPE) as the main metric. This research provides an important contribution for companies in choosing the most appropriate forecasting method to increase operational efficiency and effectiveness. Recommendations resulting from this research can help companies optimize sales strategies and manage inventory better, to increase competitiveness in the market.
Co-Authors Indah Sari, Dely Sondra Wijaya, I Made