Jurnal Data Mining Implementation of Organic Vegetable Sales Using Apriori Algorithm

research
  • 08 Aug
  • 2023

Jurnal Data Mining Implementation of Organic Vegetable Sales Using Apriori Algorithm

In the modern organic vegetable sector, the author observes that there
is very tight business competition. Therefore, an effective approach is
essential to attract buyers, although restricted sources of new
information are one of the hurdles in establishing this
business.Association rules are expressed with numerous features that
are commonly referred to as (affinity analysis) or (market basket
analysis. It was discovered that if consumers buy curly red chilies,
they are also inclined to buy cayenne pepper with a 100% confidence
level. Likewise, if people buy kale and red curly chiles, they are more
likely to buy cayenne pepper with a 100% confidence level. This also
applies if consumers buy tomatoes and curly red chilies with a 100%
confidence level. In addition, other associations were also observed,
such as if consumers buy curly red chilies, they prefer to buy
tomatoes with a confidence level of 86%, or if they buy tomatoes and
bird's eye chilies, they tend to buy curly red chiles with an 86%
confidence level.Likewise, if people buy both cayenne pepper and
red curly chili, they are more likely to buy tomatoes with an 86%
confidence level. Finally, if customers buy kale and cayenne pepper,
they are also likely to buy red curly chilies at an 83% confidence
level. Based on the data acquired from this study, it is intended to
obtain information about combinations of organic veggies that
consumers typically buy together in each transaction, with the
intention of improving organic vegetable yields and devising
appropriate sales tactics.

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