Peningkatan Efisiensi Variabel-Variabel Kritis pada Unit Gawat Darurat dengan Pendekatan Data Envelopment Analysis
DOI:
https://doi.org/10.22219/JTIUMM.Vol8.No2.158-165Keywords:
productivity, efficiency, data of envelopment analysis, peer groupAbstract
Health represent essential requirement these days. For that on duty in charge have to have yardstick to know efficiency ;level and health service productivity. Measurement of efficiency as productivity index must be done objectively, so that result of measurement can be made input to progress of health of society. Target of research was to make a model assessment of efficiency in order to determination of productivity every health service and determine repair plan to inefficient service. Problem solving used Data model of Envelopment Analysis (DEA) approach. DEA was used to measure productivity and efficiency with input multi and of multi output. With existence of real correct measurement - objective correctness, expected will give instrument to Health department to give satisfaction to wide [of] society. From result of data processing, will be obtained value of technical efficiency for the each Decision Making Unit (DMU) was less efficient, and some repair goals which must reach. Stipulating of peer of group to less efficient DMU will give direction to repair program.Downloads
References
Banker RD, Charnes A, dan Cooper WW., 1984. Some Model for Estimating Technical and Scale Efficiencies in Data Envelopment Analysis, Managemnt Science, 30(9): 1078–92.
Banker RD, Morey RC., 1986. Efficiency Analysis for Exenously Fixed Input and Output. Operation Reseach 34(4).
Charnes A, Cooper WW, Rhodes E., 1978. Measuring The Efficiency of Decision Making Unit, European Journal of Operation Reseach. 12(6): 429–44.
Powers J, McMullen RP., 2000. Using Data Envelopment Analysis to Select Efficient Large Market Cap Securities. Journal of Business and Mangement. 7(7): 31–42.
Robelo J, Mendez V., 2000. Malmquist Index of Productivity Change in Portugese Banking: The Deregulation Period. int'l Advances in Economic.
Roll Y, Moran S., 1984. Hospital Productivity Measuring: An Engineering Approach. OMEGA, 12(5): 449– 55.
Supriyanto, H., 2004. Rancangan Sistem Pendukung Keputusan Untuk Perbaikan Produktivitas DMU dengan Data Envelopment Analysis. Jurnal Heuristic, Volume 1, No. 2, 1(2).
Fare, R.S., Grosskopf, 1996. Productivity and Intermediate Product: A Frontier Approach, Economics Letter 50.
Fare, R., Grosskopf, P., Ross., 1995. Productivity and Quality Changes in Swedish Pharmacies. International Journal of Production Economics 29.
Golany, B., Roll, Y., 1989. An Application Procedure for DEA. OMEGA. International Journal of Management Science 17(3).
Lothgren, M., Magnus, T., 1989. Productivity and Customer Satisfaction in Swedish pharmacies: A DEA network model. European Journal of Operational Research. 115.
Hartwick, Frank dan Kyi., 2001. Strength and Limitation of Data Envelopment Analysis . Measuring Efficiency in Agricultural Research.