Implementation of Apriori Algorithm on Wet Cake Sales

Abstract

This research implements the Apriori algorithm on wet cake sales data to
identify frequent purchase patterns. In an era of intense business competition,
efficient inventory management and sales strategies are essential, especially
for perishable products. Daily sales data is analyzed using a quantitative
approach, focusing on support and confidence as the main parameters. The
analysis results show product combinations that are often bought together,
such as {Bolu Pisang, Martabak}, with a support value of 42.86% and
confidence of 75.00%. The findings provide valuable insights for designing
marketing and stock management strategies, which can improve business
competitiveness and sustainability. This research also encourages the
application of similar techniques in other business sectors to improve
operational efficiency.