Proceedings of the 7th International Conference on Research, Implementation, and Education of Mathematics and Sciences (ICRIEMS 2020)

Implementation of Average-Based Fuzzy Time Series Model in Forecasting Product Selling at Ainaya Boutique

Authors
Eva N. Ramadhani, Agus M. Abadi
Corresponding Author
Eva N. Ramadhani
Available Online 8 March 2021.
DOI
10.2991/assehr.k.210305.039How to use a DOI?
Keywords
Forecasting, Fuzzy, Average-based Fuzzy Time Series
Abstract

Demand forecasting is needed in a company to find out the estimated level of demand in the future. Forecasting cannot be considered as an absolute one because there is no accurate forecasting. The forecasting accuracy level continues to be sought through forecasting development. One of those is applied through artificial intelligence. This study discusses the application of forecasting product selling using average-based fuzzy time series in Ainaya Boutique as the case of the study. The forecasting system with average-based fuzzy time series captures patterns from past data. In this study, the data used for forecasting is monthly selling data based on the last three years. This research uses five types of products that are sold the most in the boutique. The trial result of forecasting selling products during January 2017 – December 2019 that uses the average-based fuzzy time series model show the result of the next month following data: the average error for the robe is 4.81%, 11.21% for the tunic, 8.78% for pashmina, 18.35% for khimar, and 9.72% for jeans. These results show that forecasting selling products in an Ainaya Boutique using the average-based fuzzy time series model has a high accuracy level.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 7th International Conference on Research, Implementation, and Education of Mathematics and Sciences (ICRIEMS 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
8 March 2021
ISBN
978-94-6239-348-6
ISSN
2352-5398
DOI
10.2991/assehr.k.210305.039How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Eva N. Ramadhani
AU  - Agus M. Abadi
PY  - 2021
DA  - 2021/03/08
TI  - Implementation of Average-Based Fuzzy Time Series Model in Forecasting Product Selling at Ainaya Boutique
BT  - Proceedings of the 7th International Conference on Research, Implementation, and Education of Mathematics and Sciences (ICRIEMS 2020)
PB  - Atlantis Press
SP  - 274
EP  - 281
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210305.039
DO  - 10.2991/assehr.k.210305.039
ID  - Ramadhani2021
ER  -