This research is motivated by the decline in sales of HMD brand Concrete Roof tiles and the lack ofdigitalization systems at CV ALBA during the period of 2024–2025. The decrease in sales indicates areduction in consumer purchasing interest toward HMD concrete roof tile products. Based on the results ofobservations, the researcher applies Market Basket Analysis to address the purchasing decline in buildingmaterial products, and incorporates the concept of Quantitative Association Rules, as the dataset consists notonly of per-item product transactions but also includes purchase quantities integrated into the model. Theapplication of Market Basket Analysis is expected to provide solutions to the identified problem. The dataanalyzed in this study comprises 1.000 transactions along with their purchase quantities, collected fromJanuary 2024 to June 2025. The Apriori algorithm was applied using minimum support of 3%, minimumconfidence of 30%, and lift ratio > 1, resulting in 6.421 generated rules. From all the rules formed, theresearcher selected the top 3 best rules from 2-itemset to 7-itemset as key insights for product bundling salesrecommendations.
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