Abstract:
The Zainab Hospital of Mother and Child is a health service company that serves every
patient who comes for treatment. The Zainab Hospital of Mother and Child have a large
amount of data. The data warehouse certainly produces an important information.
Utilization of data is not enough just to rely on operational data, but a data analysis is
needed to explore the potential of existing information. Therefore, the hospitals must
develop variety of strategies in order to prepare stocks of items that are often sold and
arrange for optimal placement of goods. One of the strategies that can be done is to
analyze the pattern of drug purchases and give a recommendation of purchasing as well
as the placement of drugs most many sold. The pattern of drug purchases is processed
using the method of Data mining and Apriori algorithm to analyze the association
between drugs were purchased and determine the candidate combinations of drugs that
are often purchased. Research is conducted on 6118 data transactions starting from July
1, 2021 to June 30, 2022 with the value of minimum support 4% and minimum
confidence 70%. This research results in a combination of 6 rules of drugs, where if
patient buy Mefenamic Acid 500mg, patient will buy Cefixime 200mg Cap with a
support value of 0.0403 = 4% and a confidence value of 1 = 100%. The results of the
interpretation of these rules can be used as a reference for placement recommendations
that placed close together to make it easier for employees and help service.
