scholarly journals Alternative Performance Measurement for Road Management Agencies Using Data Envelopment Analysis Method

2013 ◽  
Vol 20 (3) ◽  
pp. 161
Author(s):  
Biemo W Soemardi ◽  
Agung R. Fajri
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Data Envelopment ◽  
Analysis Method ◽  
Road Management ◽  
Using Data

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.

An Application of the Data Envelopment Analysis Method to Evaluate the Performance of Academic Departments within A Higher Education Institution

2016 ◽  
pp. 71-87 ◽  
Author(s):  
Oanh Nguyen Hoang ◽  
Ngoc Nguyen Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Research Output ◽  
Academic Staff ◽  
Education Institution ◽  
Academic Departments ◽  
Productivity Change ◽  
Data Envelopment ◽  
Analysis Method ◽  
Data Set ◽  
Using Data

This paper aims to evaluate the efficiency or the productivity of academic departments within a university using Data Envelopment Analysis. As an illustrative example, we investigate the performance of 57 departments of National Economics University (NEU) for three years, from 2013 to 2015. The data set consists of one input variable, which is the number of academic staff, and three output variables in which the number of research hours is considered as research output and the number of graduates and teaching load are defined as teaching outputs. Particularly, the output-oriented CCR, BCC, and SBM model under both the CRS and VRS assumptions are applied in order to determine accurate degrees of efficiency of individual departments and directions for performance improvement for less efficient ones. The output-oriented radial Malmquist DEA model is also employed to make a comparative analysis of the productivity change of the departments over the period. The results reveal some clear policy-making implications for departments to adjust their development plan in an appropriate way.

Performance Measurement of Indian Banks using Data Envelopment Analysis

2014 ◽  
Vol 2 (3) ◽  
Author(s):  
Nikita Agarwal ◽  
Banhi Guha ◽  
Avijan Dutta ◽  
Gautam Bandyopadhyay
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Data Envelopment ◽  
Using Data ◽  
Indian Banks

scholarly journals Sustainable Agri-Food Supply Chain Performance Measurement Model for GMO and Non-GMO Using Data Envelopment Analysis Method

2019 ◽  
Vol 9 (6) ◽  
pp. 1199
Author(s):  
Virda Saputri ◽  
Wahyudi Sutopo ◽  
Muhammad Hisjam ◽  
Azanizawati Ma’aram
Keyword(s):  
Supply Chain ◽  
Data Envelopment Analysis ◽  
Performance Measurement ◽  
Food Supply ◽  
Measurement Model ◽  
Assessment Method ◽  
Supply Chain Performance ◽  
Data Envelopment ◽  
Food Supply Chain ◽  
Using Data

The increase in food demand in Indonesia is one of the consequences of the imbalance between population growth and declining food products. One of alternative technologies that can be used in plant breeding programs to increase agricultural production, in order to meet food demands, is genetically modified organism (GMO) technology. This technology presents a lot of pros and cons among the public-related impacts that will be accepted by consumers. The purpose of this study was to determine the level of sustainability between GMO and non-GMO foods. The performance measurement model for GMO and non-GMO foods was considered according to the seven issues of sustainability that represented environmental, social, and economic aspects. The assessment method was conducted by using Adjusted Profit (AP) with Total Price Recovery (TPR) indicators and Total Factor Productivity (TFP) by utilizing the Data Envelopment Analysis (DEA) Method. Assessments made on each supply chain component included agriculture, processing, and transport to wholesalers/retailers. This study used numerical examples of rice production in Indonesia. The research results found that the performance of non-GMO rice chain is better than GMO rice. It indicates that non-GMO rice is more sustainable. The results show that the proposed model can be applied to measure the sustainability of GMO and Non-GMO agri-food supply chain performance.

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