scholarly journals Penggunaan Data Envelopment Analysis (DEA) dalam Pengukuran Efisiensi Bank Umum Syari'ah di Indonesia

2018 ◽  
Vol 5 (2) ◽  
pp. 293
Author(s):  
Anita Puspitasari ◽  
Didit Purnomo ◽  
Triyono Triyono
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Bank ◽  
Secondary Data ◽  
Efficiency Score ◽  
Financial Statement ◽  
Data Envelopment ◽  
Output Variable ◽  
Period Data ◽  
The Difference ◽  
Using Data

The purpose of the research is to analayze efficiency level of Sharia Commercial Bank in Indonesia (Bank Mega Syariah, Bank Muamalat Indonesia, Bank Panin Dubai Syariah, Bank BNI Syariah, Bank BRI Syariah, and Bank Syariah Mandiri) 2014-2015 period. Data used in this research is secondary data taken from Financial Statement Publication issued by Otoritas Jasa Keuangan (OJK). This research uses input-output variable with Data Envelopment Analysis (DEA) Method.The result shows the difference of efficiency score for each Sharia Commercial Bank. Based on the calculacy using Data Envelopment Analysis (DEA) Method on BUSN Foreign Exchange of Sharia Commercial Bank in Indonesia only Bank Panin Dubai Syariah that has been succeeded with 100 percent of continuously efficiency during the research. The highest efficiency is experienced by Bank BNI Syariah and BRI Syariah because during the research they experienced inefficiency. During the research Bank Mega Syariah experienced efficiency three times on quarter March 2014, March 2015, and June 2015. Bank Muamalat Indonesia only experienced efficiency twice on quarter March 2014 and March 2015, beside that Bank Muamalat Indonesia experienced inefficiency. Bank Syariah Mandiri experienced efficiency twice on quarter March 2015 and quarter December 2015.

scholarly journals ANALISIS EFISIENSI BANK UMUM KONVENSIONAL DI INDONESIA MENGGUNAKAN METODE DATA EVELOPMENT ANALYSIS (DEA) PADA TAHUN 2014-2018

KEUNIS ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 69
Author(s):  
Naili Farchah ◽  
Ida Savitri Kusmargiani
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Bank ◽  
Secondary Data ◽  
Financial Statement ◽  
Data Envelopment ◽  
Private Bank ◽  
Output Variable ◽  
Input And Output ◽  
Dea Method ◽  
Research Period

<p><em>The purpose of the research is to analayze efficiency level of Commercial Bank in Indonesia (Bank Mandiri, Bank BNI, Bank BRI, Bank BTN, Bank BCA, Bank Danamon, Bank CIMB and Bank PAN) 2014-2018 period with Data Envelopment Analysis (DEA) method. Data used in this research is secondary data taken from Financial Statement Publication issued by Otoritas Jasa Keuangan (OJK) 2014-2018 period.Bank used in this reseach is eight bank which include in BUKU 4. Length of research period is five years from 2014 until 2018. This research uses input and output variable with Data Envelopment Analysis (DEA) method. </em></p><em>The result of research in 2014 all bank object efficient. In 2015 and 2016 inefficiency bank is BNI. In 2017 and 2018 inefficiency banks is Mandiri and BNI. Based on invention can be concluded that national foreign exchange private bank (BUSN) more efficiency than government bank in period research</em>

scholarly journals Performance of Malaysian Insurance Companies Using Data Envelopment Analysis

2018 ◽  
Vol 11 (3) ◽  
pp. 1147 ◽  
Author(s):  
Ng Jia Bao ◽  
Rohaizan Ramlan ◽  
Fazeeda Mohamad ◽  
Azlina Md Yassin
Keyword(s):  
Data Envelopment Analysis ◽  
Insurance Industry ◽  
Secondary Data ◽  
Efficiency Score ◽  
Equity Capital ◽  
Insurance Companies ◽  
Data Envelopment ◽  
Insurance Company ◽  
Policy Makers ◽  
Using Data

The purpose of this study is to evaluate the performance of the local insurance in Malaysia for the period 2014-2015. The major challenge in the insurance industry is increasing competition in this market. Besides that, problematic in performance measurement to evaluate performance is another challenge in insurance industry. 24 local insurance companies involved in this study using quantitative method of Data Envelopment Analysis (DEA) output-orientation CCR model. This study utilizes three inputs and three outputs; operating expenses, equity capital and commission as well as net premium, net investment income, and net incurred claim. The secondary data sources were derived from official data of local insurance companies’ annual report respectively. The DEA-Solver-LV version 8 tools were used to analyze the data that have been collected to evaluate the performance of local insurance company. This DEA model allows integration of the performance for the insurance companies and provides management overall performance evaluation. The results showed that there are 8 efficient companies in 2014 and 9 efficient companies in 2015. The average efficiency score in 2014 was increased from 78.9% to 79.1% in 2015. The findings from this study will benefit the insurance associations in Malaysia, management of insurances companies and policy makers.

scholarly journals EFFICIENCY OF ZAKAT MMANAGEMENT OORGANIZING (OPZ) IN INDONESIA

2020 ◽  
Vol 16 (1) ◽  
pp. 112-149
Author(s):  
Roikhan Mochamad Aziz
Keyword(s):  
Data Envelopment Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Financial Statements ◽  
Data Envelopment ◽  
Output Variable ◽  
Personnel Costs ◽  
Operational Costs ◽  
Input Variables ◽  
Using Data

National charity potential in Indonesia is very large, but not comparable to the fact that the number accumulation ZIS in Indonesia. Then, needs to be done to optimize the potential of zakat is one of them with efficiency. The purpose of this study was to determine the level of efficiency of Zakat Management Organization (OPZ). The sampling technique used in this research is purposive sampling by taking a sample of 2 organizations zakat is BAZNAS and PKPU. The data used in this research is secondary data obtained from financial statements published by BAZNAS and PKPU. Measurement of efficiency in this study using Data Envelopment Analysis (DEA).Input variables used in this study is the operational costs and personnel costs, while the output variable is the receipt and disbursement of zakat. Results from this study showed that only BAZNAS who always achieve efficiency levels of 100 percent during 2011-2013, while PKPU experiencing fluctuating conditions of efficiency. On average achievement BAZNAS efficiency from 2011 through 2013 is equal to 100 per cent, while the average achievement of efficiency PKPU fluctuated during the period 2011-2013 amounted to 52.13 percent.

scholarly journals Mengukur Tingkat Efisiensi Bank Pembiayaan Rakyat Syari’ah dengan Menggunakan Data Envelopment Analysis (DEA)

2017 ◽  
Vol 12 (2) ◽  
pp. 113-120
Author(s):  
Arif Ramadhan ◽  
Didit Purnomo ◽  
Muhammad Muhtarom ◽  
Chuzaimah Chuzaimah
Keyword(s):  
Data Envelopment Analysis ◽  
Secondary Data ◽  
Fourth Quarter ◽  
Data Envelopment ◽  
Input Output ◽  
Output Variable ◽  
Bank Financing ◽  
Dea Method ◽  
Using Data

The purpose of this study is to analyze the efficiency level of Shari'ah People's Financing Bank (BPRS) in Surakarta City. The data used in this study is secondary data taken from www.ojk.co.id published by each Sharia Bank Financing (BPRS). This research uses input-output variable with Data Evelopment Analysis (DEA) method. The result of the research shows that in Quarter I - Quarter IV there is only one Sharia Bank Financing (BPRS) that experienced inefficiency. Based on the calculation using Data Evelopment Analysis (DEA), in Quarter II - Quarter IV BPRS Central Syari'ah Utama experienced inefficiency, whereas in Quarter I - IV IV BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah showed efficiency. The period 2016 Quarter I - fourth quarter IV of Syari'ah People Financing Bank (BPRS) that is BPRS Dana Amanah, BPRS Dana Mulia, BPRS Harta Insan Karimah already 1,000 or experienced efficiency continue to take care during that quarter

scholarly journals Performance Assessment Based on the Relative Efficiency of Indian Opencast Coal Mines Using Data Envelopment Analysis and Malmquist Productivity Index

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4902
Author(s):  
Biswaranjita Mahapatra ◽  
Chandan Bhar ◽  
Sandeep Mondal
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Primary Source ◽  
Efficiency Score ◽  
Malmquist Productivity Index ◽  
Productivity Index ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Significant Difference ◽  
Using Data

Coal is the primary source of energy in India. Despite being the second-largest coal-producingcountry, there exists a significant difference in demand and production in India. In this study, the relativeefficiency of twenty-eight selected opencast mines from a large public sector undertaking coal companyin India for 2018–2019 was assessed and ranked by using data envelopment analysis (DEA). This studyused input-oriented DEA with efficiency decomposition to pure technical efficiency, technical efficiency,and scale efficiency. The result showed that 25% and 36% of mines were efficient in technical efficiencyand pure technical efficiency, respectively, whereas the eight mines scale efficiency was inefficient witha decreasing return to scale. Further, in this study, theMalmquist Productivity Index (MPI)was employedto measure the efficiency of the selected mines for three consecutive years (2016–2017 to 2018–2019).The result shows that in only three mines the efficiency is continuously improving from 2016–2017 to2018–2019, whereas in more than 20% of mines the efficiency score is decreasing. Comparing theMPIefficiency and productivity assessment throughout the years, changes in innovation and technology areincreasing from 2017–2018 to 2018–2019. Finally, the study concluded with a comprehensive evaluationof each variable with mines performance. The author formulated the strategies, which in turn help coalprofessionals to improve the efficiency of the mine.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI IMPOR BERAS DI INDONESIA PERIODE 2000:01 – 2009:04

Media Ekonomi ◽  
2017 ◽  
Vol 18 (2) ◽  
pp. 69
Author(s):  
Malyda Husna Salsyabilla
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Performance Levels ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry in Indonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis) method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.</p>

scholarly journals ANALISIS EFISIENSI INDUSTRI ROKOK DI INDONESIA DENGAN MENGGUNAKAN METODE DEA (DATA ENVELOPMENT ANALYSIS) TAHUN 2006 - 2008

Media Ekonomi ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 73 ◽  
Author(s):  
Ida Ayu Puspitasari
Keyword(s):  
Data Envelopment Analysis ◽  
Capital Market ◽  
Secondary Data ◽  
Total Asset ◽  
Data Envelopment ◽  
Analysis Method ◽  
Output Variable ◽  
Public Firms ◽  
Debt Capital ◽  
Input Variables

<p>This study aims to determine the efficiency levels of cigarettes industry inIndonesia. The analysis tools used in this study is the DEA (Data Envelopment Analysis)method of analysis. Expecially for the “Go Public” firms those are PT BAT Indonesia, PT Bentoel, PT Gudang Garam, PT HM Sampoerna. The research, used secondary data, from the Indonesian Capital Market Directory year 2006 - 2008. Variables used in the study consist of four input variables and two output variables. Its input variables consist of labor, Debt, Capital, and Total Asset, whiles its output variable consist of Net Sales and Gross Profit. The research results show that there only two companies that consistent to maintained the level of efficiency of 100% during the study, namely PT BAT Indonesia and PT HM Sampoerna. Meanwhile, two other companies show their performance levels efficiency have not stabillized during the study, namely PT Bentoel and PT Gudang Garam.<br />Keywords : Efficiency, DEA, Cigarette Company, Labor, Debt, Capital, Total Asset, Net Sales, Gross Profit.</p>

scholarly journals Analysis the level of Efficiency of Sharia Commercial Bank and Sharia Business Unit in Indonesia with Data Envelopment Analysis Method

2021 ◽  
Vol 17 (1) ◽  
pp. 89-98
Author(s):  
Roikhan Mochamad Aziz ◽  
Dita Nur Amanda
Keyword(s):  
Data Envelopment Analysis ◽  
Commercial Bank ◽  
Sampling Efficiency ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Business Unit ◽  
Analysis Method ◽  
Significant Difference ◽  
Efficiency Comparison ◽  
Using Data

This research has the purpose to measure efficiency and analyze the efficiency comparison between Sharia Commercial Bank (BUS) and Sharia Bussines Unit (UUS) in Indonesia and compare the efficiency during the period 2008-2013. There are 10 Islamic banks which are used as samples of this research consisting of 3 Sharia Commercial Bank (BUS) and 7 Sharia Business Unit (UUS) that were chosen by purposive sampling. Efficiency measurements in this research using Data Envelopment Analysis (DEA). To determine differences in efficiency between Sharia Commercial Bank (BUS) and Sharia Bussines Unit (UUS), this study uses a different test parametric independent sample t-test. The result of this research showed that there is no significant difference between the efficiency of Sharia Commercial Bank (BUS) and Sharia Bussines Unit (UUS), during the period of 2008-2013 with possible intervention t value (-0.429) < t table (2.002) and probability value =0.000.

scholarly journals The relative efficiency of bank branches in lending and borrowing: An application of data envelopment analysis

2014 ◽  
Vol 8 (3) ◽  
pp. 363-376
Author(s):  
G Van der Westhuizen
Keyword(s):  
Data Envelopment Analysis ◽  
South African ◽  
Relative Efficiency ◽  
Balance Sheet ◽  
Data Envelopment ◽  
Bank Branches ◽  
The Difference ◽  
Using Data

The relative efficiency of fifty-two branches of a small South African bank was estimated using Data Envelopment Analysis (DEA).  A factor responsible for the difference in efficiency between branches might be the difference in managing the asset (loans) and the liability (deposit) side of the balance sheet.  For this reason, the relative efficiency of the lending and borrowing activities was also estimated and compared to the relative efficiency of the combined (lending and borrowing) activities.In the case of the efficiency estimates for loans and deposits, the indications are that the branches were more efficient in managing the liability side (deposits) than  in managing the asset side (loans).  This means that purchased funds were not utilised efficiently.

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