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

This research aims to optimize marketing strategies in the food industry byapplying the Fuzzy Mamdani method. This approach considers factors such as thenumber of customers, weather conditions, and holidays to forecast the number ofcustomers who will come to a simple restaurant. By using the Fuzzy Mamdanimodel, this research seeks to generate more effective marketing strategies bytaking into account variability in consumer behavior. The results of this researchare expected to help food business owners to optimize their raw material inventorymore precisely, so as to improve operational efficiency and increase customersatisfaction.

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Publication Details

Journal
Journal of Research in Mathematics Trends and Technology
Published
2024-09-30
DOI
https://doi.org/10.32734/jormtt.v6i2.16642
Primary Topic
Data Mining and Machine Learning Applications
Type
article
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article

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

Parapat Gultom, Wendy Thianujaya Thianujaya, Annisa Hidayati Sirait, Abel Kristian
Journal of Research in Mathematics Trends and Technology
Data Mining and Machine Learning Applications
article

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

Parapat Gultom, Wendy Thianujaya Thianujaya, Annisa Hidayati Sirait, Abel Kristian
article en

Abstract

This research aims to optimize marketing strategies in the food industry byapplying the Fuzzy Mamdani method. This approach considers factors such as thenumber of customers, weather conditions, and holidays to forecast the number ofcustomers who will come to a simple restaurant. By using the Fuzzy Mamdanimodel, this research seeks to generate more effective marketing strategies bytaking into account variability in consumer behavior. The results of this researchare expected to help food business owners to optimize their raw material inventorymore precisely, so as to improve operational efficiency and increase customersatisfaction.

Journal of Research in Mathematics Trends and TechnologyVol. 6(2)
Universitas Sumatera Utara (ID)
Openalex Percentile: Top 74%
Data Mining and Machine Learning Applications
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