DOI: https://doi.org/10.21456/vol6iss1pp76-83

Implementasi Model CCR Data Envelopment Analysis (DEA) Pada Pengukuran Efisiensi Keuangan Daerah

*LM Fajar Israwan  -  Universitas Dayanu Ikhsanuddin, Indonesia
Bayu Surarso  -  Universitas Diponegoro
Farikhin Frikhin  -  Universitas Diponegoro
Open Access Copyright (c) 2016 JURNAL SISTEM INFORMASI BISNIS

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Abstract

Regional budget control system is implemented through an audit and evaluation to ensure that its implementation is in accordance with the plan that it can be efficiently and effectively used. Regional budget efficiency measurement then aims to measure the efficienty of budget use of each Regional Work Unit (SKPD) and to optimalize its use. The efficiency of Regional Work Unit is measured using CCR Data Envelopment Analysis (DEA) model with one input variable and eight output variables, in which this CCR DEA applies Linear Programming approach and evaluates relative efficiency of Decision Making Units (DMUs). The sample was in a total of sixteen DMUs. The result revealed that seven DMUs were efficient, in which their reference set was then used to optimalize the input and output variables of other inefficient DMUs. This result was validated through paired sample t-test, proving to meet the hypothesis of Ho -2,042 ≤ tcount ≤ 2,042 showing that CCR DEA can be used as a method to measure regional budget efficiency with accurate results.

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Keywords: CCR, DEA, Regional Financial, SKPD.

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Section: Research Articles
Language : EN
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  1. Atmaja, LS., 2009. Statistika Untuk Bisnis dan Ekonomi, Andi Offset, Yogyakarta
  2. Charles, V., Zegarra, LF., 2014. Measuring regional competitiveness through data envelopment analysis: a peruvian case, Expert Systems with Applications 41, 5371–5381
  3. Charnes, A., Cooper, W.W., Rhodes, E., 1978. Measuring the efficiency of decision making units, European Journal of Operational Research 2, 429-444
  4. Cooper, WW., Seiford, LM., Tone, K., 2006. Introduction Data Envelopment Analysis and Its Uses With DEA-Solver Software and Refrences, Springer, United States of America
  5. Halim, A., 2007. Akuntansi sektor Publik Akuntnasi Keuangan Daerah Edisi 3, Salemba Empat, Jakarta
  6. Halim, A., 2014. Manajemen Keuangan Sektor Publik Problematika Penerimaan Dan Pengeluaran Pemerintah (Anggaran Pendapatan dan Belanja Negara/Daerah), Salemba Empat, Jakarta
  7. Hanushek, E., Lockheed, ME., 1994. Concepts of Educationa Efficiency and Effectivenes, HROWP
  8. Hasan, MI., 2012. Pokok-Pokok Materi Statistik 2 (Statistik Infrensif), Bumi Aksara, Jakarta
  9. Lee, H., Kim, C., 2012, A DEA-SERVQUAL approach to measurement and benchmarking of service quality, Procedia - Social and Behavioral Sciences, 40, 756 – 762
  10. Ramanthan, R., 2004. An Introduction to Data Envelopment Analysis : A Tool For Performance Measurement, Sage Publications Inc, New Delhi
  11. Republik Indonesia., 2005. Peraturan Pemerintah Nomor 58 Tahun 2005 Tentang Pengolahan Keuangan Daerah, Jakarta
  12. Rosman, R., Wahab NA., Zainol Z., 2014. Efficiency of Islamic banks during the financial crisis: An analysis of Middle Eastern and Asian Countries, Pacific-Basin Finance Journal 28, 76–90
  13. Rusydiana, AS., Tim SMART Consulting., 2013. Mengukur Tingkat Efisiensi dengan Data Envelopment Analysis, SMART Publishing, Bogor
  14. Siregar, Y., 2001. Akuntansi Pemerintahan dengan Sistem Dana Edisi ke 3, YKPN. Yogyakarta
  15. Sumenge, AS., 2013. Analisis Efektifitas dan Efisiensi Pelaksanaan Anggaran Belanja Badan Perencanaan Pembangunan Daerah (BAPPEDA) Minahasa Selatan, Jurnal EMBA 1 (3), 74-81
  16. Syamsu, I., 2007. Efisiensi, Sistem dan Prosedur Kerja, Bumi Aksara, Jakarta
  17. Taylor, BW., 2014. Sains Manajemen Introduction to Management Science, Penerbit Salemba Empat. Jakarta
  18. Tsai, PF., Molinero, CM., 2002. A variable returns to scale data envelopment analysis model for the joint determination of efficiencies with an example of the UK Health service, European Journal of Operational Research 141 21–38
  19. Utama, AHM., Bahauddin, A., Ferdinant, PF., 2013. Pengukuran Efisiensi Produksi dengan Metode Data Envelopement Analysis di Divisi Wire Rod Mill, JTI 1 233–238
  20. Zhu, J., Cooka WD., Tone K., 2014. Data Envelopment Analysis: Prior to Choosing a Model, Omega 44, 1–4

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