Open AccessPENERAPAN ALGORITMA APRIORI UNTUK PENGADAAN OBAT DAN ALAT KESEHATAN PADA DEPARTEMENT RADIOLOGI MAYAPADA HOSPITAL
Author(s) -
Muhammad Afif,
Dewi Wulandari
Publication year - 2019
Publication title -
techno nusa mandiri/techno nusa mandiri
Language(s) - English
Resource type - Journals
eISSN - 2527-676X
pISSN - 1978-2136
DOI - 10.33480/techno.v16i2.737
Subject(s) - procurement , association rule learning , apriori algorithm , medical emergency , operations management , dependency (uml) , medicine , computer science , business , data mining , engineering , artificial intelligence , marketing
The pattern of drug and medical device needs at Mayapada Hospital in South Jakarta has a tendency to be repeated and similar in a relatively long period of time, especially in one particular department, because the cases found are often similar or even similar. Ensuring the availability of stock in each department's deposit is very vital, because the procurement of medical equipment must go through a certain process and time, so there are often cases where there is a critical resus but the equipment needed in the deposit does not meet the needs or escape from inventory and must indent first. By calculating the tendency (Apriori Association) demand patterns in the relevant departments, especially in the radiology department at Mayapada Hospital, South Jakarta, a rule was formed that resulted in a pattern of dependency between itemsets that had supporting criteria in the form of support of 33.3% and Confidence by 85%, where the items that appear are items with a high frequency of appearance and association, so they can be taken into consideration to ensure the availability of drugs and medical devices.