Indonesian local coffee brand companies have experienced remarkable growth. This is not only driven by the significant potential of the coffee enthusiast market but also by evolving lifestyle trends. This study aims to develop a fuzzy logic–based decision model to evaluate the digital marketing practices of these local Indonesian coffee brands. The fuzzy logic method, utilizing a rule-based approach, is employed as the core technique in constructing the decision model. Three local brands serve as simulation subjects for the model. The model reveals that ZZZ company demonstrates the highest quality in digital marketing implementation, outperforming its two competitors, with an effectiveness score of 74.70. Furthermore, the model shows strong accuracy at 89.83%, which is a notable improvement over a previous model’s accuracy of 76.05%.

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A Fuzzy Logic–Based Decision Model for Assessing Digital Marketing Quality in Local Indonesian Coffee Brands

  • Ditdit Nugeraha Utama,
  • Arif Zulkarnain

摘要

Indonesian local coffee brand companies have experienced remarkable growth. This is not only driven by the significant potential of the coffee enthusiast market but also by evolving lifestyle trends. This study aims to develop a fuzzy logic–based decision model to evaluate the digital marketing practices of these local Indonesian coffee brands. The fuzzy logic method, utilizing a rule-based approach, is employed as the core technique in constructing the decision model. Three local brands serve as simulation subjects for the model. The model reveals that ZZZ company demonstrates the highest quality in digital marketing implementation, outperforming its two competitors, with an effectiveness score of 74.70. Furthermore, the model shows strong accuracy at 89.83%, which is a notable improvement over a previous model’s accuracy of 76.05%.