A research level of efficiency treatment of Covid-19 using data envelopment analysis

Document Type : Research Paper


1 Department of Informatics, Universitas Malikussaleh, Aceh, Indonesia.

2 Department of Agriculture, Universitas Muhammadiyah Sorong, Indonesia.

3 STKIP Arrahmaniyah Depok, Jawa Barat, Indonesia

4 Department of English Language Education, STKIP Kusuma Negara, Indonesia.

5 Department of Electrical Engineering, Universitas 17 Agustus 1945 Cirebon, Indonesia.


Coronavirus Disease 2019 (Covid-19) is a collection of viruses that can infect the respiratory system. This virus only causes mild respiratory infections, such as the flu. The process of handling Corona infection patients is indeed much different from other disease patients. Covid-19 can cause various symptoms in its sufferer. These symptoms depend on the type of corona virus that attacks, and how serious the infection is. The design of this application uses DFD and ERD modeling which is built using the web-based PHP programming language and uses a MySQL database. The assessment of the efficiency level of COVID-19 was carried out in one of the provinces in Indonesia, namely in the province of Aceh, using samples from 12 existing hospitals. All the hospitals that we have taken data every day will continue to increase and decrease. This application is built using the Data Envelopment Analysis (DEA) method, where the search process is determined by the lindo software. The input criteria in this application are suspected patients, probable patients, confirmed patients, and patients being treated. While the output of this application is the patient recovers, and the patient dies. All the data we get is real data that we get directly from the hospital and the results are confirmed via the Internet. All calculation processes use predetermined formulas. The computational result obtained from the DEA CCR Model on the 8 DMUs is 1, it is the gain from dividing the output variable by the input variable, then the results obtained from 8 DMUs are efficient and 4 DMUs are inefficient. 


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Volume 13, Issue 1
March 2022
Pages 1937-1947
  • Receive Date: 20 May 2021
  • Revise Date: 02 October 2021
  • Accept Date: 17 October 2021
  • First Publish Date: 20 November 2021