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Modifikasi skyline query untuk mengukur daerah prioritas penerima bantuan alat pelindung diri bagi tenaga kesehatan COVID-19

Modified skyline query to measure priority region for personal protective equipment recipient of COVID-19 health workers

Department of Informatics, Universitas Muhammadiyah Cirebon. Jl. Fatahillah, Watubelah, Kec. Sumber, Cirebon, Jawa Barat 45611, Indonesia

Received: 7 Dec 2020; Revised: 28 Jun 2021; Accepted: 5 Jul 2021; Available online: 18 Jul 2021; Published: 31 Jul 2021.
Open Access Copyright (c) 2021 The Authors. Published by Department of Computer Engineering, Universitas Diponegoro
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

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Abstract
The distribution of personal protective equipment (PPE) plays a vital role in meeting the needs of PPE in an area. This study aims to measure the priority of PPE recipient regions in West Java Province using a skyline query algorithm, namely Sort Filter Skyline (SFS). In this study, the SFS algorithm is modified to optimize the dominance measurement section. Regions that do not have hospitals will not be prioritized for PPE recipients. The preferences used in this study are maximum and minimum. The maximum preference rule is used for the number of ODP, PDP, positive and dead cases, while the minimum preference rule is used for the cured and distance attributes. The application of SFS for calculating priority regions has been successfully carried out by developing two models, namely MS1 using unmodified SFS and MS2 using modified SFS by adding a selection process for regions with no hospitals. The MS1 produces 21 skyline objects (55.55 %), while MS2 15 (66.66 %) skyline objects. The MS2 is faster than that of MS1 because fewer objects are being tested. The MS1 takes 0.0222 seconds, while MS2 only 0.0193 seconds.

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Data analysis: Modified skyline query to measure priority region for personal protective equipment recipient of COVID-19 health workers
Subject This material contains the raw data, normalization result, and entropy calculation.
Type Data Analysis
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Keywords: COVID-19; skyline query; health worker; personal protective euqipment (PPE)
Funding: Universitas Muhammadiyah Cirebon

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