Analis Efisiensi Pelayanan Rumah Sakit Umum Pemerintah Kabupaten/Kota Di Jawa Barat Menggunakan Metode Principal Component Analysis With Data Envelopment Analysis
Keywords:
DEA, Efisiensi, PCA-CCR, PCA-BCC, Rumah Sakit UmumAbstract
Analisis efisiensi merupakan salah satu metode yang digunakan untuk menghitung kinerja Decisions Making Unit (DMU). Analisis efisiensi sendiri secara sederhana merupakan perbandingan antara output dan input suatu DMU. Bidang pelayanan kesehatan mempunyai peran dalam suksesnya pembangunan nasional yang perlu dinilai kinerjanya, oleh karena itu pada penelitian kali ini akan dikaji perhitungan efisiensi 21 rumah sakit umum kelas B milik pemerintahkabupaten/kota yang ada di Jawa Barat dengan menggunakan metode Principal Component Analysis-Data Envelopment Analysis (PCA-DEA) untuk menilai kinerja rumah sakit sebagai pelayan kesehatan masyarakat. Penelitian ini akan menggunakan PCA untuk menentukan komponen utama pada 5 variabel output dan 2 variabel input dan menggunakan hasil komponen utama PCA sebagai variabel output dan input yang baru untuk menghitung DEA, diperoleh 3 komponen utama input dan 1 komponen utama output. Dari 21 rumah sakit hanya terdapat 5 rumah sakit yang efisien berdasarkan metode PCA-CCR dan 6 rumah sakit yang efisien berdasarkan PCA-BCC, dari proyeksi perbaikan penilain yang dilakukan perbaikan rumah sakit umum yang tidak efisien mengalami pengurangan yang sangat progresif rata-rata 49% menurut model PCA-CCR, sedangkan pada model PCA-BCC rata-rata 28% pada seluruh inputnya dikedua model tersebut.
References
Adler, N and Berechman, J. (2001). Measuring Airport Quality from the Airlines viewpoint: an Application of Data Envelopment Analysis. Elsevier Science Ltd.
Adler, N and Golany, B. (2000). Evaluation of Deregulated Airline Networks Using Data Envelopment Analysis Combined With Principal Component Analysis With an Application to Western Europe. European Journal of Operational Research. 132, 260-273.
Adler, N and Yazhemsky, E. (2010). Improving Discrimination in Data Envelopment Analysis: PCA-DEA or Variabel Reduction. European Journal of Operational Research. 273-284.
Ali, A.I. and L.M. Seiford (1990), Translation invariance in data envelopment analysis, Operations Research Letters, 9, 403-405
Andrejic, M. Bojovic, N and Kilibarda, M. (2012). Benchmarking Distribution Centers Using Principal Component Analysis and Data Envelopment Analysis: A Case Study of Serbia. Elsevier. 40, 3926-3933.
Azwar, S. (2010). Sikap Manusia teori dan Pengukurannya. Yogyakarta: Pustaka Pelajar
Banker, R. at al. (2012). Data Envelopment Analysis: Theory and Applications. Brazil: Proceeding of the 10th Internasional Conference on DEA.
Blackburn, V., Brennan, S and Ruggiero, J. (2014). Nonparametric Estimation of Educational Production and Costs Using Data Envelopment Analysis. London: Springer Science+Business Media New York.
Bruce Ho, C and Dash, Wu D. (2008). Online Banking Performance Evaluation Using Data Envelopment Analysis and Principal Component Analysis. Elsevier. 36, 11835-1842.
Cahyani, N., Sjahid, Akbar MM dan Sulianingrum, D. (2012). “Kajian Tentang Tingkat Efisiensi Pelayanan Kesehatan Rumah Sakit Umum Pemerintah Kabupaten/Kota Di Jawa Timur Menggunakan Metode PCA-DEA”. Jurnal Sains Dan Seni ITS. 1, (1).
Chen,J. at. al (2015). Operational efficiency evaluation of iron ore logistic at the port of bohai in china: Based on PCA-DEA model. Hindawi Volume 2016.
Coelli, Timothy J. at. al. (2005). An Introduction To Efficiency And Productivity Analysis (Second Editions). New York : Springer Science-i-Business Media, Inc.
Cooper, William W and Seiford, Lawrance M. (2011). Hadbook on Data Envelopment Analysis (Second Edition). London: Springer Science+Business Media,LLC.
Cooper, William W. Seijford, Lawrence M And Tone, K. (2011). Data on Envelopment Analysis. United State, America: Kluwer Academic Publishers.
Daman, Huri M dan Susilowati, I. (2002). Pengukuran Efisiensi Relatif Emiten Perbankan Dengan Metode Data Envelopment Analysis (DEA). Diamika Pembangunan. 1, (2), 95-100.
Departemen Kesehatan RI, Ditjen Bina Pelayanan Medik, Pedoman Penyelenggaraan Pelayanan di Rumah Sakit, 2012
Farel R., Grosskopff, S and Margarits, D. (2015). Advances In Data Envelopment Analysis. Singapore: Word Scientific Publishing Co. Pte. Ltd.
Jolliffe, I.T. (2002). Principal Component Analysis. New York; Springer-Verlag Nerw York, Inc.
Joro, T and Korhonen, Pekka J. (2015). Extension of Data Envelopment Analysis with Preference Information. New York: Springer Science+Business Media New York 2015.
Kheirkhah, A. at al. (2012). Improved Estimation of Electricity Demand Function by Using of Artificial Neural Network, Principal Component Analysis and data envelopment analysis. Elsevier. 64, 425-441.
Liu, R and Zhang, Z. (2012). Green-efficiency Assessment of Chinese Industry of Principal Component Analysis and Super-efficiency Data Envelopment Analysis’s. Advanced Materials Research. 490-495.
Mansson, J. (2003). How Can We Use The Result From a DEA Analysis? Identification of Firm-Relevant Reference Units. Journal of Applied Economics. 6, (1), 157-175.
Maulana, A. (1997). Strategi Bersaing: Teknik Menganalisa Industri dan Pesaing. Akarta: Erlangga
Moengin, P. (2013). “Model AHP/DEA Untuk Mengukur Efisiensi Penggunaan Teknologi Gas Buang Rumah Tangga Ramah Lingkungan”. J@Ti Undip. 8, (1).
Mohammed, Al Shayea A. (2011). Measuring Hospital’s units Efficiency: A Data Envelopment Analysis Approach. International Journal of Engineering & Technology. 11, (6).
O’Neill L, Rauner M, Heidenberger K, Kraus M (2008) A cross-national comparison and taxonomy of DEA-based hospital efficiency studies. Socioecon Plann Sci 42(3):158–189
Omrani, H. Beiragh, R Gharizadeh and Kaleibari, S Shafiei. (2014). Performance Assessment of Iranian Electricity Distribution Companies by an Integrate Corporative Game Data Envelopment Analysis Principal Component Analysis Approach. Elsevier. 64, 617-625.
Osei-Bryson, K and Ngwenyama, O. (2014). Advances in Research Methods for Information Systems Research. London: Springer Science+Business Media New York.
Ozan YA, Luke RD. (1993). A National Study Of The Efficiency Of Hospital In Urban Markets, Health Serv Res. 28 (6), 719-739.
Ozcan YA (2009) Quantitative methods in health care management: techniques and applications, 2nd edn. Jossey-Bass, San Francisco, CA
Ozcan, Yasar A. (2014). Health Care Benchmarking and Performance Evaluation (Second Edition). New York: Springer Science+Business Media New York 2015.
Rahmawati, R dan Nadratuzzaman, Hosen M. (2012). Efficiency of Fund Management of Sharia Banking in Indonesia. International Journal of Academic Research in Economics and Management Sciences. 1, (1).
Rahmayanti, A. (2014). Efisiens Lembaga Amil Zakat Dalam Mengelola Dana Zakat Di Indonesia. Skripsi pada UIN Syarif Hidayatullah: diterbitkan.
Ramadany, R dan Susilaningrum, D. (2010). Analisis Tingkat Efesiensi Pelayanan Kesehatan di Tiap Kabupaten/Kota se-Jawa Timur dengan metode Data Envelopment Analisis (DEA). Skripsi dari FMIPA ITS: dipublikasikan.
Ramanathan, R. (2003). An Introduction to Data Envelopment Analysis. New Delhi: Sage Publication India Pvt Ltd.
Rapposelli, Agnese. (2012). Route-Based Performance Evaluation Using Data Envelopment Analysis Combined with Principal Component Analysis. Pescara: Springer-Verlag Berlin Heidelberg.
Ray, Subhash C. (2004). Data Envelopment Analysis. New York: Cambridge University Press.
RI, D. B. (2015, Februari 5). Retrived From Data Rumah Sakit Online:
http://sirs.buk.depkes.go.id/rsonline/data_list.php?pagesize=500
Ruggiero, J. (2011). Frontiers in Major Leage Baseball. London: Springer Science+Business Media,LLC.
Sanguansat, Parinya. (2012). Principal Component Analysis Multidisciplinary Applications. Croatia: InTech.
Sengupta, Jati K. (1995). Dynamics of Data Envelopment Analysis. U.S.A: Springer Science+Business Media Dordrecht.
Sengupta, Jati K. (2003). New Efficiency Teory. Berlin: Springer-Valag Berlin Heodelberg.
Sherman, H. David and Zhu, J. (2006). Service Productivity Management. America: Springer Science+Business Media,LLC.
Sherman, H. David and Zhu, J. (2009). Service Productivity Management. New York, USA: Springer Science Business Media, LLC.
Siman. (2008). Penerapan Metodologi Information Economic dalam Mengkaji Kelayakan Investasi Data Warehouse Suku Cadang pada Perusahaan alat-alat berat (Studi Kasus: PT. Altrak 1978). Jakarta: (Tesis). Fakultas Ilmu Komputer Universitas Indoesia.
Thanassoulis, E. (2003). Introduction To The Theory And Application of Data Envelopment Analysis (Second edition). New York: Springer Science+Business Media New York.
Tony, Cai T and Shen, X. (2011). High-Dimensional Data Analysis (Volume 2). China: Higher Education Press.
Ueda, T dan Hoshiai, Y. (1997). Application of Principal Component Analysis For Parsimonious Summarization of DEA Inputs An/Or Output. Journal of the Operations Research Society of Japan. 40, (4).
Undang-Undang Nomor 44 Tahun 2009 tentang Rumah Sakit.
Wen, M. (2015). Uncertain Data Envelopment Analysis. London: Springer- Verlag Berlin Heidelberg.
Wulansari, R.R. (2010). Efisiensi Relatif Operasional PuskesmasPuskesmas si Kota Semarang Tahun 2009 [tesis]. Jakarta: Fakultas Ekonomi, Universitas Indonesia.
Zhu, J and Cook, Wade D. (2007). Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis. New York; Springer Science+Business Media,LLC.
Zhu, J. (1998). Data Envelopment Analysis vs. Principal Component Analysis: An Illustrative Study of Economic Performance of Chinese Cities. European Journal of Operational Research. 111, 50-61.
Zhu, J. (2003). Quantitative Models For Performance Evaluation and Benchmarking. New York: Springer Science+Business Media,LLC.
Zhu, J. (2005). Data Envelopment Analysis. London: Springer Science+Business Media New York
Zhu, J. (2009). Quantitative Models for Performance Evaluation and Benchmarking (Second Edition). USA; Springer Science+Business Media,LLC.
