Syamsuddin, Irfan (2022) Fuzzy MCDM Approach for Building Private Cloud Medical Records. In: 2022 International Conference on Decision Aid Sciences and Applications (DASA).
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Abstract
This paper aims to introduce the application of
Fuzzy MCDM approach to tackle the selection issue in
building private cloud medical records. Vast amount
medical records currently require a solution to build cloud
data storage. Cloud based data storage is currently
required to deal with continuous demand of electronic
medical records in particular during covid 19. Private
cloud data center is proposed to overcome the issue of
storing daily medical records from various sources. The
study proposes a Fuzzy MCDM model based on the
Analytic Hierarchy Process (AHP) in choosing the best
open source cloud data storage for establishing private
cloud medical records. There are many perspectives to be
compromised during the selection process of several open
source solutions and all pairwise comparison should meet
maximum inconsistecy rate of 0.1. It is finally concluded
that OwnCloud is the most suitable open source solution
for solving the given problem.
Item Type: | Conference or Workshop Item (Paper) |
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Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Jurusan Teknik Elektro > D4 Teknik Komputer dan Jaringan |
Depositing User: | Unnamed user with username 197312202000031008 |
Date Deposited: | 10 Apr 2023 14:38 |
Last Modified: | 10 Apr 2023 14:38 |
URI: | https://repository.poliupg.ac.id/id/eprint/449 |