Journal of Applied Data Sciences
Vol 2, No 3: SEPTEMBER 2021

Implementation of Apriori Data Mining Algorithm on Medical Device Inventory System

Avizenna, Meidar Hadi (Unknown)
Widyanto, R Arri (Unknown)
Wirawan, Dwi Kusuma (Unknown)
Pratama, Teguh Adhi (Unknown)
Nabila, Amandha Shafa (Unknown)



Article Info

Publish Date
29 Sep 2021

Abstract

The pattern of the need for drugs and medical devices in various hospitals 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 departmental depot is very vital, because the procurement of medical devices must go through a certain process and time, so that cases of critical rheumatism often occur but the equipment needed at depositors does not meet the standards. need or run from inventory and must indent first. By calculating the trend of demand patterns and needs using an algorithm (Apriori Association) in the dataset, a rule is formed that in the pattern of dependence between itemsets that have supporting criteria in the form of 33.3% support and 85% Confidence, where the items that appear are items with frequency of occurrence and associations so that it can be taken into consideration to ensure the availability of drugs and medical devices.

Copyrights © 2021






Journal Info

Abbrev

JADS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

One of the current hot topics in science is data: how can datasets be used in scientific and scholarly research in a more reliable, citable and accountable way? Data is of paramount importance to scientific progress, yet most research data remains private. Enhancing the transparency of the processes ...