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.

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 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.

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 Efisiensi Kinerja BAZNAS Bogor Dan Sukabumi: Pendekatan Data Envelopment Analysis

2019 ◽  
Vol 5 (2) ◽  
pp. 105-120
Author(s):  
Siti Nurhasanah ◽  
Deni Lubis
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Operational Cost ◽  
Know How ◽  
Operational Costs ◽  
Input And Output ◽  
Dea Method ◽  
Using Data ◽  
Percent Efficiency ◽  
Production Approach

This study aims to know how performance efficiency BAZNAS in Bogor city, Bogor district, and Sukabumi district, and recommends things need BAZNAS have not been efficient can reach 100 percent efficiency level. This research using Data Envelopment Analysis (DEA) method, with intermediation approach and production approach. The input and output intermediation approach are collected funds, operational costs, and channeled funds. The input and output of production approach are operational costs, socialization costs, collected funds, and channeled funds. The result of this study show that with intermediate approach BAZNAS has descresed efficiency. Calculation of production approach indicates that BAZNAS has increased efficiency value. Badan Amil Zakat Nasional Sukabumi district has obtained efficiency 100 percent in the both approaches. Badan Amil Zakat Nasional have not been efficient can diminished operational cost and socialization cost, then increased collected funds and channeled funds.

Penilaian Efisiensi Bank dengan Data Envelopment Analysis pada 10 Bank Berperingkat Besar di Indonesia

2015 ◽  
Vol 2 (02) ◽  
pp. 113-126
Author(s):  
J.M.V. Mulyadi
Keyword(s):  
Data Envelopment Analysis ◽  
Detailed Analysis ◽  
Jel Classification ◽  
Financial Ratios ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
Efficiency Assessment ◽  
Production Approach

A B S T R A C T Bank efficiency are important in the assessment of the health of banks. Data Envelopment Analysis is a model of efficiency assessment bank that is widely used because it provides a more detailed analysis of the results compared to financial ratios. Analysis carried out by the production approach, intermediation, revenues and profits. This study assesses the 10 major banks in Indonesia. The results showed that of the 10 large banks are still found inefficiencies. DEA resulted in a recommendation that development can be done bank to achieve optimum efficiency. Based on the recommendation expected the bank to maximize the desired profit through efficiency. A B S T R A K Efisiensi bank merupakan hal penting dalam penilaian kesehatan bank. Data Envelopment Analysis adalah model penilaian efisiensi bank yang banyak digunakan karena memberikan hasil analisis yang lebih detil dibandingkan rasio keuangan. Analisi dilakukan dengan pendekatan produksi, intermediasi, pendapatan dan laba. Penelitian ini melakukan penilaian pada 10 bank besar di Indonesia. Hasil penelitian menujukkan bahwa dari 10 bank besar tersebut masih ditemukan inefisiensi. DEA menghasilkan rekomendasi pengembangan yang dapat dilakukan bank untuk mencapai efisiensi optimum. Berdasarkan rekomendasi tersebut diharapkan bank dapat memaksimumkan profit yang diinginkan melalui efisiensi. JEL Classification: G29, O33

A Production Approach to Performance of Banks with Microfinance Operations

2014 ◽  
Vol 6 (2) ◽  
pp. 18-35 ◽  
Author(s):  
Emilyn Cabanda ◽  
Eleanor C. Domingo
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Measures ◽  
Negative Relationship ◽  
The Philippines ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Production Frontier ◽  
Financial Performance Measures ◽  
Production Approach

Banking institutions, nowadays, serve as intermediaries of funds to a variety of clients, including the micro enterprisers. This study analyzes and measures the performance of rural and thrift banks with microfinance operations in the Philippines, using combined measures of data envelopment analysis and traditional financial performance indicators. Data envelopment analysis (DEA) method is employed to measure the productive efficiency of these banks under the production approach. The variable returns to scale is also used, with the assumption that not all banks are operating at optimal scale over the long-run period. DEA findings reveal that sample banks performed below the production frontier. The average technical efficiency score of these banks is 66.09% and additional 33.91% is needed to reach the production frontier. Overall, thrift banks are found to be more productively efficient than rural banks as depository banks. The authors have also found a strong relationship between financial performance measures and bank's productive efficiency. For thrift banks, sustainability, ROE and ROA measures showed a statistically significant positive correlation to the banks' productive efficiency while a negative relationship was observed in rural banks. Lastly, the authors can suggest that both DEA's productive efficiency and financial performance measures are consistently and strongly correlated when evaluating the overall performance of banks with microfinance operations.

scholarly journals KOMPARASI EFISIENSI & PRODUKTIVITAS PERUSAHAAN ASURANSI JIWA KONVENSIONAL DAN SYARIAH DI INDONESIA PADA TAHUN 2014 – 2017, DENGAN PENDEKATAN DEA & INDEKS MALMQUIST

2020 ◽  
Vol 6 (9) ◽  
pp. 1877
Author(s):  
Oky Suryoaji ◽  
Eko Fajar Cahyono
Keyword(s):  
Data Envelopment Analysis ◽  
Total Factor Productivity ◽  
Malmquist Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Factor Productivity ◽  
Constant Return

Tujuan penelitian ini adalah untuk mengetahui tingkat efisiensi dan produktivitas perusahaan asuransi jiwa antara konvensional dan syariah (baik Unit Usaha Syariah maupun Full Fledge) periode 2014 – 2017. Penelitian ini menggunakan pendekatan kuantitatif dengan metode non parametrik DEA (Data Envelopment Analysis) yang dilandaskan dengan asumsi CRS (Constant Return to Scale) dan VRS (Variable Return to Scale) dan Indeks Malmquist asumsi TFPC (Total Factor Productivity Change) dengan diolah menggunakan aplikasi DEAP Versi 2.1. Variabel yang digunakan meliputi Total Aset, Beban, Klaim, Premi/Dana Tabrru’, dan Pendapatan. Subjek yang digunakan dalam penelitian ini sebanyak 29 perusahaan asuransi jiwa syariah yang terdiri 10 perusahaan asuransi jiwa syariah dan 19 perusahaan asuransi jiwa konvensional. Hasil penelitian menunjukkan bahwa rata-rata perusahaan asuransi jiwa konvensional dan syariah belum mencapai efisien (CRS) dan rata-rata TFPC perusahaan asuransi jiwa konvensional sudah mencapai produktivitas sementara syariah belum mencapai produktivitas.Keywords:Asuransi Jiwa Syariah, Efisiensi, Produktivitas, Data Envelopment Analysis (DEA), Constant Return to Scale (CRS), Variable Return to Scale (VRS), Malmquist Index (MI), Total Factor Productivity Change (TFPC)

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