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Fuzzy MCDM Approach for Building Private Cloud Medical Records

Syamsuddin, Irfan and Warastuti, Sry Wahyuni and Urumsah, Dekar (2022) Fuzzy MCDM Approach for Building Private Cloud Medical Records. In: 2 International Conference on Decision Aid Sciences and Applications (DASA), 23-25 March 2022.

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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)
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: 03 Apr 2023 17:37
Last Modified: 09 Apr 2023 13:12

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