IMPLEMENTASI ALGORITMA APRIORI UNTUK
MENCARI POLA TRANSAKSI PENJUALAN OBAT (Studi Kasus : Rumah Sakit Islam FATIMAH Banyuwangi)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
KARIMAH, SABILLATUL
Kuswardani, Dwina
Affandi S, Riki Ruli
Kuswardani, Dwina
Affandi S, Riki Ruli
Subject
Teknik Informatika
Datestamp
2023-06-06 02:29:58
Abstract :
Unmanaged purchase Data will only be the uselessness of the data. The availability of drugs needs to be maintained.to meet customer demand or requirement. Because the need for drug supplies is very important to handle patients with different types of diseases. One of them is the Islamic Hospital Fatimah Banyuwangi where drug sales data information is already in the form of digital format. Because of the countless transactions of sale and purchase of drugs in hospitals. The purpose of this study is to determine the combination of transaction patterns. This research uses a priori algorithm, where data mining is used to implement a priori algorithm. The results of the implementation of a priori algorithm has been successfully applied to the data of drug sales transactions at Fatimah Islamic Hospital Banyuwangi. With the value of support confidence that has been generated nila support 4% and cofindence 90% suitable to be applied to drug sales transactions. Testing with Lift Ratio resulted in 28 combinations that can be used as a rule of recommendation or decision helpers and obtained also products with the most frequently purchased categories such as PZ (Nacl) 0 and the most purchased products such as 3 cc syringes
Unmanaged purchase Data will only be the uselessness of the data. The availability of drugs needs to be maintained.to meet customer demand or requirement. Because the need for drug supplies is very important to handle patients with different types of diseases. One of them is the Islamic Hospital Fatimah Banyuwangi where drug sales data information is already in the form of digital format. Because of the countless transactions of sale and purchase of drugs in hospitals. The purpose of this study is to determine the combination of transaction patterns. This research uses a priori algorithm, where data mining is used to implement a priori algorithm. The results of the implementation of a priori algorithm has been successfully applied to the data of drug sales transactions at Fatimah Islamic Hospital Banyuwangi. With the value of support confidence that has been generated nila support 4% and cofindence 90% suitable to be applied to drug sales transactions. Testing with Lift Ratio resulted in 28 combinations that can be used as a rule of recommendation or decision helpers and obtained also products with the most frequently purchased categories such as PZ (Nacl) 0 and the most purchased products such as 3 cc syringes
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