Application of the Fuzzy Mamdani Method to Predict the Number of Customers Based on the Weather and Holidays in a Simple Restaurant on Abdul Hakim Street

Authors

  • Parapat Gultom Department of Mathematics, Universitas Sumatera Utara, Medan, 20155, Indonesia
  • Wendy Thianujaya Thianujaya Universitas Sumatera Utara
  • Annisa Hidayati Sirait Student of Mathematics, Universitas Sumatera Utara, Medan, 20155, Indonesia
  • Abel Kristian Student of Mathematics, Universitas Sumatera Utara, Medan, 20155, Indonesia

DOI:

https://doi.org/10.32734/jormtt.v6i2.16642

Keywords:

Fuzzy Mamdani Method, Marketing Strategy, Number of Customers, Weather, Holiday

Abstract

This research aims to optimize marketing strategies in the food industry by
applying the Fuzzy Mamdani method. This approach considers factors such as the
number of customers, weather conditions, and holidays to forecast the number of
customers who will come to a simple restaurant. By using the Fuzzy Mamdani
model, this research seeks to generate more effective marketing strategies by
taking into account variability in consumer behavior. The results of this research
are expected to help food business owners to optimize their raw material inventory
more precisely, so as to improve operational efficiency and increase customer
satisfaction.

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Published

2024-09-30

How to Cite

[1]
P. . Gultom, W. T. Thianujaya, A. H. . Sirait, and A. . Kristian, “Application of the Fuzzy Mamdani Method to Predict the Number of Customers Based on the Weather and Holidays in a Simple Restaurant on Abdul Hakim Street”, J. of Research in Math. Trends and Tech., vol. 6, no. 2, pp. 69-80, Sep. 2024.