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

Document Type : Research Paper

Authors

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.

Abstract

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. 

Keywords

[1] D. Abdullah, Hartono and C. I. Erliana, Hesitant fuzzy-stochastic data envelopment analysis (Hf-sdea) model for benchmarking, Int. J. Informatics Vis., 5 (1) (2021), https://doi.org/10.30630/joiv.5.1.405.
[2] D. Abdullah, S. Susilo, A. S. Ahmar, R. Rusli and R. Hidayat, The application of K-means clustering for province clustering in Indonesia of the risk of the COVID-19 pandemic based on COVID-19 data, Qual. Quant., (2021), https://doi.org/10.1007/s11135-021-01176-w.
[3] D Abdullah, M Zarlis, D Napitupulu, H. Hartono, S. Sriadhi, C. Ita Erliana, R. Dijaya, Y. Findawati, H. Nurdiyanto, R. Rahim and A. S. Ahmar, A Slack-Based Measures within Group Common Benchmarking using DEA for Improving the Efficiency Performance of Departments in Universitas Malikussaleh, MATEC Web Conf., 2018,https://doi.org/10.1051/matecconf/201819716005.
[4] W. K. Abdelbasset, Stay Home: Role of physical exercise training in elderly individuals’ ability to face the covid-19 infection, J. Immunol. Res., 2020 (2020), https://doi.org/10.1155/2020/8375096.
[5] K. A. Alkhathlan and S. Abdul Malik, Are Saudi Banks Efficient? Evidence using Data Envelopment Analysis (DEA, Int. J. Econ. Financ., (2010), https://doi.org/10.5539/ijef.v2n2p53.
[6] R. D. Banker, A. Charnes and W. W. Cooper, Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis, Manage. Sci., (2008), https://doi.org/10.1287/mnsc.30.9.1078.
[7] R. D. Banker and R. M. Thrall, Estimation of returns to scale using data envelopment analysis, Eur. J. Oper. Res., (1992), https://doi.org/10.1016/0377-2217(92)90178-C.
[8] I. Chakraborty and P. Maity, COVID-19 outbreak: Migration, effects on society, global environment and prevention, Sci. Total Environ., 728 (2020), https://doi.org/10.1016/j.scitotenv.2020.138882.
[9] D. K. Despotis and Y. G. Smirlis, Data envelopment analysis with imprecise data, Eur. J. Oper. Res., 140(1)(2002), https://doi.org/10.1016/S0377-2217(01)00200-4.
[10] I. G. Dharma Utamayasa, Efect Physical Activity and Nutrition During The Covid-19 Pandemic, Int. J. Eng. Sci. Inf. Technol., 1 (1) (2021), https://doi.org/10.52088/ijesty.v1i1.58.
[11] F. Doosty, M. Maleki and M. Yarmohammadian, An investigation on workload indicator of staffing need: A scoping review, J. Edu. Health Promot. , (2019), https://doi.org/10.4103/jehp.jehp_220_18.
[12] A. S. Dousari, M. T. Moghadam and N. Satarzadeh, COVID-19 (Coronavirus disease 2019): A new coronavirusdisease, Infect. Drug Resist., 13 (2020), https://doi.org/10.2147/IDR.S259279.
[13] M. Durygin, Simone de Beauvoir and a period of transition, Prospects, (2020), https://doi.org/10.1007/ s11125-020-09513-x.
[14] Z. Fakhriza, M. Rahayu and M. Iqbal, Design improvement of automated gallon washing machine to minimize musculoskeletal disorders (MSDs) in CV Barokah Abadi using ergonomic function deployment (EFD) approach, In: IOP Conf. Ser. : Mater. Sci. Eng., (2017), https://doi.org/10.1088/1757-899X/277/1/012021.
[15] A. P. Golin, D. C. Bhsc and A. Ghahary, Hand sanitisers: A review of ingredients, mechanisms of action, modes of delivery and efficacy against coronaviruses, Am. J. Infect. Control, 48 (9) (2020) 1062-1067, https: //doi.org/10.1016/j.ajic.2020.06.182.
[16] F. He, Y. Deng and W. Li, Coronavirus disease 2019: What we know?, J. Med. Virol., 92 (7) (2020) 719-725, https://doi.org/10.1002/jmv.25766.
[17] Indonesian Ministry of Health, Indonesian Health Profile The Year 2005 (Profil Kesehatan Indonesia Tahun 2005), 2006.
[18] G. R. Jahanshahloo and S. Abbasian-Naghneh, Data envelopment analysis with imprecise data, Appl. Math. Sci.,5(62) (2011) 3089-3106.
[19] T. Kuosmanen, Data envelopment analysis with missing data, J. Oper. Res. Soc., 60(12)(2009), https://doi. org/10.1057/jors.2008.132.
[20] M. Marti´c, M. Novakovic and A. Baggia, Data Envelopment Analysis - Basic Models and their Utilization, Organizacija, (2009) 37-43, https://doi.org/10.2478/v10051-009-0001-6.
[21] O. B. Olesen and N. C. Petersen, Stochastic data envelopment analysis - A review, Eur. J. Oper. Res., 251(1)(2016) 2-21, https://doi.org/10.1016/j.ejor.2015.07.058.
[22] Y. A. Ozcan, Performance measurement using data envelopment analysis (DEA), In: In: Health Care Benchmarking Perform. Eval. , Springer, Boston, 2014, pp. 15-47,https://doi.org/10.1007/978-1-4899-7472-3_2
[23] I. H. Rambe and M. R. Syahputra, Aplikasi Data Envelopment Analysis (DEA) Untuk Pengukuran Efisiensi Aktivitas Produksi, MES J. Math. Educ. Sci., 2 (2) (2017) 38-43, https://doi.org/10.30743/mes.v2i2.129.
[24] K. RI, Corona virus disease 2019, Peratur. Menteri Kesehat. Republik Indones., 2020.
[25] K. Tone, Slacks-based measure of efficiency in data envelopment analysis, Eur. J. Oper. Res., 130(3)(2001) 498- 509, https://doi.org/10.1016/S0377-2217(99)00407-5.
Volume 13, Issue 1
March 2022
Pages 1937-1947
  • Receive Date: 20 May 2021
  • Revise Date: 02 October 2021
  • Accept Date: 17 October 2021