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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Nikolas Adhi Prasetyo
Bachelor Program of Computer Science, FMIPA UGM, Yogyakarta
Computer Science & IT Control & Systems Engineering

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Decision Support System to Prioritize Ventilators for COVID-19 Patients using AHP, Interpolation, and SAW Nikolas Adhi Prasetyo; Retantyo Wardoyo
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 16, No 1 (2022): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.70985

Abstract

Ventilator shortages is a common problem faced by hospitals during the COVID-19 pandemic era. Healthcare workers are forced to make choices because of how big the difference between resources and lives needing it. This issue rarely comes, because normally every patient has the same rights to receive treatment and resources, but it becomes a clear problem when there are barely enough resources. Therefore, a prioritization mechanism that can objectively decide the allocation must be made to achieve the best outcome.A decision support system is a system that can support humans using data as decision makers to help them decide semi-structured/unstructured problems. The goal of this research is to create a DSS to prioritize patients who need a ventilator by incorporating two different methods, which are AHP, Interpolation, and SAW. It is hoped that the result of the research can be used to rank patients based on predetermined criterias and policy.
Co-Authors Retantyo Wardoyo