Decision support system development for prioritizing emergency room treatment for COVID-19 patients

Alam Santosa; Diana Andriani; Ahmad Akbar Ramadhan; Ananda Tasya Bonita Siregar

doi:10.1063/5.0254658

Decision support system development for prioritizing emergency room treatment for COVID-19 patients

Alam Santosa^*
, Diana Andriani
, Ahmad Akbar Ramadhan
, Ananda Tasya Bonita Siregar

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The purpose of this research is to develop a decision support system to help hospitals decide which COVID-19 patients should be prioritized to get Emergency Room (ER) treatment. Because with the lack of facility in hospitals especially in emergency room (ER), a lot of COVID-19 patients were not able to be treated in ER. The decision support system used analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods, while the method used to develop the system is the waterfall method. The system was designed with system development tools such as context diagram, data flow diagram, entity relationship diagram, and use case diagram. Then the desktop-based system was developed using Ms. Access and hopes that it could be helpful to hospitals in deciding which COVID-19 patients to be prioritized to get ER treatment.

Original language	English
Title of host publication	AIP Conference Proceedings
Editors	Lia Warlina, Hanhan Maulana
Publisher	American Institute of Physics
Edition	1
ISBN (Electronic)	9780735451247
DOIs	https://doi.org/10.1063/5.0254658
Publication status	Published - 11 Feb 2025
Externally published	Yes
Event	5th International Conference on Informatics Engineering, Science and Technology, INCITEST 2022 - Bandung, Indonesia Duration: 20 Oct 2022 → …

Publication series

Name	AIP Conference Proceedings
Number	1
Volume	3200
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	5th International Conference on Informatics Engineering, Science and Technology, INCITEST 2022
Country/Territory	Indonesia
City	Bandung
Period	20/10/22 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1063/5.0254658

Cite this

Santosa, A., Andriani, D., Ramadhan, A. A., & Siregar, A. T. B. (2025). Decision support system development for prioritizing emergency room treatment for COVID-19 patients. In L. Warlina, & H. Maulana (Eds.), AIP Conference Proceedings (1 ed.). Article 040010 (AIP Conference Proceedings; Vol. 3200, No. 1). American Institute of Physics. https://doi.org/10.1063/5.0254658

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title = "Decision support system development for prioritizing emergency room treatment for COVID-19 patients",

abstract = "The purpose of this research is to develop a decision support system to help hospitals decide which COVID-19 patients should be prioritized to get Emergency Room (ER) treatment. Because with the lack of facility in hospitals especially in emergency room (ER), a lot of COVID-19 patients were not able to be treated in ER. The decision support system used analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods, while the method used to develop the system is the waterfall method. The system was designed with system development tools such as context diagram, data flow diagram, entity relationship diagram, and use case diagram. Then the desktop-based system was developed using Ms. Access and hopes that it could be helpful to hospitals in deciding which COVID-19 patients to be prioritized to get ER treatment.",

author = "Alam Santosa and Diana Andriani and Ramadhan, \{Ahmad Akbar\} and Siregar, \{Ananda Tasya Bonita\}",

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Santosa, A, Andriani, D, Ramadhan, AA & Siregar, ATB 2025, Decision support system development for prioritizing emergency room treatment for COVID-19 patients. in L Warlina & H Maulana (eds), AIP Conference Proceedings. 1 edn, 040010, AIP Conference Proceedings, no. 1, vol. 3200, American Institute of Physics, 5th International Conference on Informatics Engineering, Science and Technology, INCITEST 2022, Bandung, Indonesia, 20/10/22. https://doi.org/10.1063/5.0254658

Decision support system development for prioritizing emergency room treatment for COVID-19 patients. / Santosa, Alam; Andriani, Diana; Ramadhan, Ahmad Akbar et al.
AIP Conference Proceedings. ed. / Lia Warlina; Hanhan Maulana. 1. ed. American Institute of Physics, 2025. 040010 (AIP Conference Proceedings; Vol. 3200, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Decision support system development for prioritizing emergency room treatment for COVID-19 patients

AU - Santosa, Alam

AU - Andriani, Diana

AU - Ramadhan, Ahmad Akbar

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N2 - The purpose of this research is to develop a decision support system to help hospitals decide which COVID-19 patients should be prioritized to get Emergency Room (ER) treatment. Because with the lack of facility in hospitals especially in emergency room (ER), a lot of COVID-19 patients were not able to be treated in ER. The decision support system used analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods, while the method used to develop the system is the waterfall method. The system was designed with system development tools such as context diagram, data flow diagram, entity relationship diagram, and use case diagram. Then the desktop-based system was developed using Ms. Access and hopes that it could be helpful to hospitals in deciding which COVID-19 patients to be prioritized to get ER treatment.

AB - The purpose of this research is to develop a decision support system to help hospitals decide which COVID-19 patients should be prioritized to get Emergency Room (ER) treatment. Because with the lack of facility in hospitals especially in emergency room (ER), a lot of COVID-19 patients were not able to be treated in ER. The decision support system used analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) methods, while the method used to develop the system is the waterfall method. The system was designed with system development tools such as context diagram, data flow diagram, entity relationship diagram, and use case diagram. Then the desktop-based system was developed using Ms. Access and hopes that it could be helpful to hospitals in deciding which COVID-19 patients to be prioritized to get ER treatment.

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ER -

Decision support system development for prioritizing emergency room treatment for COVID-19 patients

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