Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal CICES (Cyberpreneurship Innovative and Creative Exact and Social Science)
Fitriansyah, Muhammad Daffa
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice

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

Found 1 Documents
Search

 1 
Implementasi ANFIS Untuk Forecasting Penjualan Sembako Pada CV XYZ Fitriansyah, Muhammad Daffa; Anggraeny, Fetty Tri; Wahanani, Henni Endah
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 11 No 1 (2025): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v11i1.3492

Abstract

This study compares the performance of three fuzzy membership functions—Gaussmf, Gbellmf, and Trimf—in forecasting basic goods sales. The evaluation was conducted by measuring the Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) on both training and testing data across various window sizes. The evaluation results indicate that the Trimf membership function achieved the best performance. For a window size of 4, Trimf yielded a testing RMSE of 1.77 and a testing MAPE of 8.23%, outperforming Gaussmf (RMSE 2.82, MAPE 12.57%) and Gbellmf (RMSE 4.64, MAPE 17.54%). Meanwhile, Gaussmf and Gbellmf exhibited weaker performance on testing data, particularly at larger window sizes. These findings suggest that the appropriate selection of fuzzy membership functions can significantly enhance prediction accuracy. Future research could explore combinations of membership functions or other parameters that may further improve forecasting performance.
Co-Authors Fetty Tri Anggraeny Henni Endah Wahanani