MATHEMATICAL MODELING FOR FOOD AND BEVERAGES BUSINESS IN INDONESIA DURING COVID-19 PANDEMIC

The COVID-19 global pandemic has changed many aspects of Indonesian people’s lives, including the culinary or food and beverage sector. In this study, the authors modeled keywords related to food and beverages using websearch data from the Google Trend website. This modeling uses the Richard’s Cu...

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Bibliographic Details
Main Author: TANIA SITEPU, GLORY
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/65298
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:The COVID-19 global pandemic has changed many aspects of Indonesian people’s lives, including the culinary or food and beverage sector. In this study, the authors modeled keywords related to food and beverages using websearch data from the Google Trend website. This modeling uses the Richard’s Curve method, which is one of the models to see population growth. By using this model, the author aims to see the types of culinary businesses that are trending during the pandemic, at least until the end of 2022. The results obtained from Richard’s Curve modeling are divided into 3 categories, namely viral foods, emerging foods, and popular foods. Viral foods are foods that are popular or in demand by the public in a short time, so based on the results of Richard’s Curve it is predicted that foods in this category will not be sought after by the public again, at least until the end of 2022. Emerging foods are foods that are in high demand during COVID-19. From the results of Richard’s Curve, there are several keywords in this category that are still in high demand until the end of 2022, and some others will no longer be searched for by the public. The last category is popular food, or food that has been known by the public even before the COVID-19 pandemic. From the Richard’s Curve model, it can be seen that food in this category will maintain its popularity until the end of 2022. Furthermore, several keywords that have been reviewed will also look at the interactions between brands that dominate the culinary business. This interaction will be examined using the Lotka-Volterra competition model for two species. The keywords chosen for further review are ’fast food’ (with dominating brands such as KFC and McDonald’s), the other keyword is ’frozen food’ (with dominating brands such as Fiesta, So Good, and Kanzler). From the Lotka Volterra model obtained, it is predicted that until the end of 2022, the fast food culinary business will be dominated by McDonald’s while frozen food will be dominated by Kanzler.