Abstract:
The amount of competition, especially in the medical device industry, requires medical
device owners to find a strategy in order to increase sales of medical devices, namely by
knowing the sales pattern of medical device products so that owners can implement
appropriate steps to increase selling power. Sales data can be used to determine sales
patterns of medical devices. Sales data can be processed into information by applying
data mining methods with association rule techniques with apriori algorithms.
Processing of medical device sales data of 840 transaction data with a minimum support
of 8 and a minimum confidence of 20% resulted in 33 association rules. In the lift ratio
test, there were 28 association rules with a value of more than 1, meaning that there was
a dependency between the antecedent and the consequent so that the rule can be used as
a prediction for the emergence of a medical device due to the emergence of other medical
devices and can be used as a reference in product recommendations for medical devices.
