Analisis Efisiensi Ruang Rawat Inap Isolasi Covid-19 Dengan Data Envelopment Analysis (Dea) Rumah Sakit Rujukan Pelayanan Covid-19 Kelas B Di Eks Karesidenan Surakarta

Hendrawati, Mayasari Ayu and -, Dr. Muzakar Isa, SE, MSi and -, Dr.dr. Iwan Setyawan (2022) Analisis Efisiensi Ruang Rawat Inap Isolasi Covid-19 Dengan Data Envelopment Analysis (Dea) Rumah Sakit Rujukan Pelayanan Covid-19 Kelas B Di Eks Karesidenan Surakarta. Thesis thesis, Universitas Muhammadiyah Surakarta.

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Abstract

This study aims to (1) analyze the efficiency of the Covid-19 isolation inpatient room at the Covid-19 class B service referral hospital in the former Surakarta residency, (2) analyze the level of optimization of input and output variables in the Covid-19 isolation inpatient room at the hospital. referral for class B Covid-19 services in the former residency of Surakarta, and (3) analyzing which input and output variables play an important role in the efficiency of the Covid-19 isolation inpatient room at the referral hospital for class B Covid-19 services in the former residency of Surakarta. This study used a sample of 8 class B hospitals in the former residency of Surakarta using secondary data obtained from the Central Java Provincial Health Office. This study uses an efficiency analysis tool using the DEA (Data Envelopment Analysis) method. The results showed that in general the Covid-19 isolation inpatient room at the Class B Covid-19 service referral hospital in the former Surakarta residency was efficient. In the results of this study there is 1 government hospital that is not yet efficient and 1 non-government hospital that is not yet efficient. The 2 hospitals that are not yet efficient are not optimal in using input variables in determining the number of doctors, the number of nurses, the number of beds, the number of ICUs with negative pressure and ventilators and the number of confirmed patients. The inefficient hospital is also not optimal in obtaining its output, namely the number of recovered patients and BOR. In the calculation using the DEA method in this study, the input variable that has the most influence on efficiency is the number of doctors, while the output variable is the number of recovered patients

Item Type:	Thesis (Thesis)
Uncontrolled Keywords:	Hospital efficiency, Covid-19, DEA (Data Envelopment Analysis), input and output variables
Subjects:	H Social Sciences > H Social Sciences (General)
Divisions:	Fakultas Pasca Sarjana > Magister Manajemen
Depositing User:	Unnamed user with username p100190033
Date Deposited:	22 Feb 2022 03:08
Last Modified:	22 Feb 2022 03:08
URI:	http://eprints.ums.ac.id/id/eprint/98183

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