scholarly journals Measurement of Ministry/Institution Budget Performance Efficiency Using Data Envelopment Analysis (DEA)

2020 ◽  
Vol 2 (1) ◽  
pp. 43
Author(s):  
Shiddiq Ardhi Irawan
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Performance Achievement ◽  
Dea Model ◽  
Constant Return ◽  
Crs Model ◽  
The Government ◽  
Using Data ◽  
Measurement And Evaluation ◽  
Model Approach

Efficiency is one of the tools used by the Government to measure the success of an activity. Based on PMK Number 214/ PMK.02/2017 it is regulated regarding the measurement and Evaluation of Budget Performance for the implementation of Work Plans and Ministries/Institutions Budgets. To measure budget performance achievement based on aspects of implementation 4 (four) variables i.e. budget absorption, output achievements, efficiency, and consistency of budget absorption towards planning, are used. This study aims to measure the efficiency level of Ministries/Institutions budget performance using Data Envelopment Analysis (DEA). However, the variables used are not only based on measurement aspects of implementation according to PMK Number 214/PMK.02/2017 but also the number of satker (satuan Kerja). The approach used in the DEA model is Constant Return to Scale (CRS) model and Variable Return to Scale (VRS) model. This study uses the DEA model approach by comparing the results of the CRS model with VRS model. Based on DEA results, the number of Ministries/Institutions that have efficient scores is less than the number of Ministries/Institutions with inefficient scores. In addition, based on the value of slacks in each Ministries/Institutions, the variables that need to be improved are the coordination among satkers in when they are recording their performance achievements in the SMART application. Other variables that also require improvements are the ministry/agency’s willingness to revise their Disbursement Plan (RPD) after each budget revision and the speed at which they spend their budget once DIPA is stipulated.

scholarly journals Measuring the Efficiency of Health Services Areas in Kingdom of Saudi Arabia Using Data Envelopment Analysis (DEA): A Comparative Study between the Years 2014 and 2006

2017 ◽  
Vol 9 (4) ◽  
pp. 172 ◽  
Author(s):  
Sanaa Mohamed Aly Helal ◽  
Haga Abdelrahman Elimam
Keyword(s):  
Saudi Arabia ◽  
Data Envelopment Analysis ◽  
Health Services ◽  
Production Efficiency ◽  
Data Envelopment ◽  
Kingdom Of Saudi Arabia ◽  
Average Production ◽  
Government Hospitals ◽  
The Government ◽  
Using Data

The study aimed to assess the efficiency of health services provided by the government hospitals in various districts of the Kingdom of Saudi Arabia. The number of beds at hospitals, doctors, nursing staff and paramedical categories were used as inputs for the model. The average productivity efficiency of government hospitals in the districts of the Kingdom of Saudi Arabia in 2014 was 92.3%; whereas, the average internal production efficiency of these districts in the provision of health services through their respective hospitals was 94.7%; and the average external productivity efficiency in the different cities of the districts in Kingdom of the Saudi Arabia was 97.5%. It has been found that the average overall productivity efficiency was 90.2%, concerning the relative efficiency indicators of government hospitals, which were based on the hospitals’ distribution of Saudi Arabian districts in 2006. An analysis of the indicator showed that the average production efficiency of the services provided (internally) by the districts of the Kingdom of Saudi Arabia was 94.7%, and that the average of the external production efficiency for such services was 95.4%. The Data Envelopment Analysis is a successful technique in measuring the performance efficiency of hospitals and it also assists to identify possible improvement and reduction in cost.

Mengukur Tingkat Efisiensi Bank Umum Syariah dengan Metode DEA dan Perbandingan dengan Rasio Keuangan (Studi Kasus: PT Bank Muamalat Indonesia dan PT Bank Mega Syariah)

2020 ◽  
Vol 1 (1) ◽  
pp. 25-48
Author(s):  
Joni Agusah Putra ◽  
Muhammad Doddy
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Financial Ratio ◽  
Dea Model ◽  
Constant Return ◽  
Dea Method ◽  
Measurement Efficiency ◽  
Production Approach

Penelitian ini dilakukan untuk mengukur tingkat efisiensi Bank Muamalat Indonesia (BMI) dan Bank Mega Syariah (BMS). Metode yang digunakan adalah data envelopment analysis (DEA) model constant return to scale (CRS) dan model variabel return to scale (VRS) dengan pendekatan aset dan produksi. Hasil DEA model CRS pendekatan aset dibadingkan dengan rasio ROA sedangkan hasil DEA model VRS pendekatan produksi dibandingkan dengan rasio BOPO.Hasil penelitian ini menunjukkan, pada pendekatan aset BMI cenderung tidak efisien baik dengan model CRS, VRS dan secara skala. Sementara pada pendekatan produksi BMI tidak efisien dengan model CRS tetapi efisien berdasarkan model VRS dan secara skala. Sedangkan BMS cenderung dalam kondisi yang efisien pada pendekatan aset dan produksi baik dengan model CRS, VRSmaupun secara skala selama periode penelitian. Penelitian ini juga menyimpulkan, pengukuran efisiensi dengan DEA menunjukkan hasil yang konsisten dengan rasio keuangan ROA dan BOPO. Sehingga tidak ada perbedaan antara tingkat efisiensi menggunakan metode DEA dengan tingkat efisiensi menggunakan rasio keuangn pada BMI dan BMS selama periode penelitian.Kata Kunci: Efisiensi BUS, DEA, Rasio KeuanganABSTRACTThis research had been done to measure efficiency level Bank Muamalat Indonesia (BMI) and Bank Mega Syariah (BMS). The method tools were analysis envelopment data (DEA) model constant return to scale (CRS) and models variable return to scale (VRS) through asset and production approach. Result DEA model of asset approach CSR was compared to ratio ROA whereas result DEA model of production approach was compared to ratio BOPO. This research indicated that approach asset BMI tended to inefficiency both model CRS, VRS and by scale. Temporary approaching by production BMI in efficiency with model CRS but efficiency based on model VRS and by scale. Whereas BMS tended to be in efficiency to asset and production approach both model CRS, VRS and by scale during period of research. This research was also to conclude measurement efficiency by using DEA showed consistent result with financial ratio ROA and BOPO. So there would not be difference between the level of efficiency by using DEA method with the level of efficiency by using financial ratio at BMI and BMS during period of research.Keywords: BUS Efisiensi, DEA, Financial Ratio

scholarly journals Pengukuran Efisiensi Kinerja Sekolah Dasar lewat Model Data Envelopment Analysis

2017 ◽  
Vol 36 (2) ◽  
Author(s):  
Siti Fatimah ◽  
Umi Mahmudah
Keyword(s):  
Elementary Schools ◽  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Returns To Scale ◽  
Scale Model ◽  
Data Envelopment ◽  
Public Elementary Schools ◽  
Crs Model ◽  
Using Data ◽  
Constant Returns To Scale

This study aims to measure the performance efficiency of elementary schools in Special Capital Region of Jakarta, especially Central Jakarta district in the period 2014/2015 by using data envelopment analysis (DEA) approach. DEA is a non-parametric method to measure efficiency of decision making units (DMUs). DEA compares several homogeneous DMUs based on a number of inputs to produce the expected outputs. This study uses descriptive method using DMU as many as 103 public elementary schools that are A-accredited with three inputs and four outputs. Data is analyzed using DEAP version 2.1 application by comparing CRS (Constant Returns to Scale) model and VRS (Variable Returns to Scale) model. Results show that: 1) in CRS model, there are 8 public elementary schools (7.77 percent) have efficient performances while in VRS model there are 14 public elementary schools (13.59 percent) have efficient performances; 2) VRS model is better than CRS model in measuring the efficiency performance of public elementary schools in Central Jakarta.

scholarly journals Data envelopment analysis with fuzzy complex numbers; with an empirical case on power plants of Iran

2020 ◽  
Author(s):  
Mahmood Esfandiari ◽  
Saber Saati
Keyword(s):  
Data Envelopment Analysis ◽  
Power Plants ◽  
Complex Numbers ◽  
Complex Data ◽  
Data Envelopment ◽  
Steam Power ◽  
Dea Model ◽  
Steam Power Plants ◽  
Using Data ◽  
Α Level

Using Data Envelopment Analysis (DEA) in complex environment is an idea that has recently presented for measuring the relative efficiencies of a set of Decision Making Units (DMUs) with complex inputs and outputs. The values of the input and output data in real-world problems appear sometimes as fuzzy complex number. For dealing with these types of data in DEA, we need to design a new model. This paper proposes a DEA model with triangular fuzzy complex numbers and solve it by using the concept of the data size and the α-level approach. This method transforms DEA model with fuzzy complex data to a linear programing problem with crisp data. In the following, a ranking model is also developed using the above approach to rank the efficient DMUs. The proposed method is presented for the first time by the authors and there is no similar method. Finally, we present a case study in the generators of the steam power plants to demonstrate the applicability of the proposed methods in the power industry.

scholarly journals Measuring Bank Efficiency: Evidence from the Tanzanian Banking Sector

2013 ◽  
Vol 8 (1) ◽  
pp. 1239-1251
Author(s):  
Zawadi Ally ◽  
Dr. G.N. Patel
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Bank ◽  
Commercial Banks ◽  
Banking Sector ◽  
Data Envelopment ◽  
Parametric Approach ◽  
Tobit Regression ◽  
Bank Efficiency ◽  
Constant Return ◽  
Crs Model

The objective of this study is to measure the efficiency of commercial banks in Tanzania using a non-parametric approach, the input-oriented data envelopment analysis (DEA), both by constant return to scale (CRS) and variable return to scale (VRS). For this purpose, two outputs representing total loans and total interest income, and three inputs representing total deposits, the number of employees and total expenses are selected for seven-years (2006-2012) period in the analysis. The findings under CRS model identify four banks to be fully efficient in the year 2006, two banks in 2007 and one bank in 2008, 2009, 2010, 2011 and 2012, while VRS model results identify five banks to be fully efficient in the year 2006 and 2012, three banks in 2007 and two banks in 2008 and 2009, one bank 2010 and 2011. Four banks, Standard Charted bank, National Commercial Bank (NBC), Citibank and Barclays bank are found to be the most efficiency banks in Tanzania, which serve as the benchmark peers for inefficient banks in the sample, In addition Tobit regression has been used to determine the efficiency drivers.

ESTIMATING THE EFFICIENCY OF PAHANG RUBBER SMALLHOLDERS USING DATA ENVELOPMENT ANALYSIS APPROACH

2016 ◽  
Vol 78 (12-3) ◽  
Author(s):  
Na’imah Ali ◽  
Noor Asiah Ramli ◽  
Faridah Zulkipli
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Input Output ◽  
Monthly Income ◽  
Constant Return ◽  
Optimal Input ◽  
Scale Size ◽  
Using Data

RISDA has targeted for the income of each smallholder to be at least RM2500 per month by the end of 2015. However, approximately almost 90% of the smallholders’ monthly income is still below the target. Hence, in order to observe if this target is achievable, a study was conducted to evaluate the efficiency level of producing rubber among 95 rubber smallholders in Pahang. In addition, the study also investigated if there was any opportunity for increment of production among the rubber smallholders. Therefore, the Data Envelopment Analysis (DEA) model, under the assumption of Variable Return to Scale (VRS) and Constant Return to Scale (CRS), was used to analyse the scale and the technical efficiency of the smallholders. Scale Efficiency was measured in order to estimate the return to scale of the smallholders. As a result, the study found that the average Overall Technical Efficiency (OTE) and Pure Technical Efficiency (PTE) scores of the smallholders were 43.47% and 43.78%, respectively. Thus, the majority of the smallholders were not technically efficient in producing rubber. Furthermore, based on the return to scale estimated, 41% of the smallholders were operating under the Increase Return to Scale (IRS), which implied that the smallholders had a sub-optimal scale size. The results obtained had been useful as the optimal input-output for the efficient rubber yield can be determined and may help RISDA, as well as agricultural planners, to devise a strategy in order to increase the productivity of rubber smallholders in Malaysia.   

scholarly journals Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3548 ◽  
Author(s):  
Tao Xu ◽  
Jianxin You ◽  
Hui Li ◽  
Luning Shao
Keyword(s):  
Energy Efficiency ◽  
Data Envelopment Analysis ◽  
Assessment Method ◽  
Future Research ◽  
Data Envelopment ◽  
Research Topics ◽  
Dea Model ◽  
Efficiency Assessment ◽  
Energy Efficiency Evaluation ◽  
Measurement And Evaluation

The importance and urgency of energy efficiency in sustainable development are increasing. Accurate assessment of energy efficiency is of considerable significance and necessity. The data envelopment analysis (DEA) method has been widely used to study energy efficiency as a total factor efficiency assessment method. In order to summarize the latest research on DEA in the field of energy efficiency, this article first analyzes the overall situation of related literature published in 2011–2019. Subsequently, the definition, measurement and evaluation variables of energy efficiency are introduced. After that, this article reviews the current DEA model and its extension models and applications based on different scenarios. Finally, considering the shortcomings of the existing DEA model, possible future research topics are proposed.

scholarly journals Analisis Program Layanan Zakat Digital terhadap Penerimaan Zakat dengan Pendekatan Data Envelopment Analysist (DEA) pada Badan Amil Zakat Nasional

2020 ◽  
Vol 1 (1) ◽  
pp. 15-22
Author(s):  
Bunga Larasati Pujianto ◽  
Kristianingsih
Keyword(s):  
Data Envelopment Analysis ◽  
Optimal Level ◽  
Analytical Tool ◽  
Data Envelopment ◽  
Service Program ◽  
Constant Return ◽  
Operational Costs ◽  
Crs Model ◽  
Dea Approach ◽  
Production Approach

This research aims to determine the level of efficiency of the digital zakat program on the acceptance of BAZNAS Zakat with a method Data Envelopment Analysist (DEA) Approach. The sample of this research are operational costs and zakat receipts for digital zakat of the National Amil Zakat (BAZNAS). This research used an analytical tool of DEA (Data Envelopment Analysis) with variable Constant Return to Scale (CRS) production approach and output oriented. Variable inputs are Zakat funds (I1), Operational Costs (I2), and Digital Zakat Funds (O1). The results of this research on 2016-2018 that digital zakat service program shows the optimal level of efficiency by testing using the Data Envelopment Analysist method with the Constant Return to Scale (CRS) model.

scholarly journals Model of Optimal Zakat Allocation By Using Data Envelopment Analysis Approach

2019 ◽  
pp. 87-97
Author(s):  
Vita Sarasi ◽  
Ina Primiana ◽  
Dian Masyita ◽  
Yunizar Yunizar
Keyword(s):  
Resource Allocation ◽  
Data Envelopment Analysis ◽  
Quantitative Method ◽  
Optimal Allocation ◽  
Data Envelopment ◽  
Allocation Model ◽  
Fund Allocation ◽  
Initial Setting ◽  
The Government ◽  
Using Data

An optimization model of allocation of zakat fund and recipients is developed based on the Data Envelopment Analysis - Resource Allocation Model (DEA-RAM). The quantitative method plays an important role in optimal allocation of zakat delivery programs performed by some zakat institutions; that is by reallocation of initial setting of the zakat fund and beneficiaries numbers. It raises the needs of improvements in their recent strategies on the programs by the institutions. Zakat institutions, even the government as regulator, should have a clear focus on the poverty-empowerment-based programs in providing needed capitals for poverty empowerment. They are expected to create certain conditions in order to prevent excessive of fund allocation for the charity-based delivery programs.

Sign in / Sign up

Export Citation Format

Share Document