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.

scholarly journals TOTAL FAKTOR PRODUKTIVITAS DAN INDEKS INSTABILITAS PERIKANAN TANGKAP: Kasus di Pelabuhan Ratu, Jawa Barat

2016 ◽  
Vol 10 (1) ◽  
pp. 35
Author(s):  
Budi Wardono ◽  
Akhmad Fauzi ◽  
Achmad Fahrudin ◽  
Agus Heri Purnomo
Keyword(s):  
Data Envelopment Analysis ◽  
Fishery Management ◽  
Sharp Decrease ◽  
Growth Index ◽  
Productivity Change ◽  
Data Envelopment ◽  
Instability Index ◽  
Long Line ◽  
Using Data ◽  
High Level

Perkembangan produksi perikanan di Pelabuhan Perikanan Nusantara (PPN) Pelabuhan Ratu secara total mengalami peningkatan lebih dari dua kali lipat pada periode 2002 sampai 2013. Peningkatan produksi hanya terjadi pada armada Kapal Motor (KM) dengan armada lebih 5 GT, sedangkan produksi ikan dari Perahu Motor Tempel (PMT) dengan armada kurang dari 5 GT mengalami penurunan tajam. Pada tahun 2013 share produksi ikan dari KM sebesar lebih 95 % sedangkan produksi ikan dari PMT kurang dari 5 %. Kondisi ini mengakibatkan ketidakseimbangan dalam alokasi sumber daya. Tujuan penelitian untuk mengetahui faktor produktivitas total dan indeks ketidakstabilan pada perikanan tangkap. Penelitian dilakukan pada bulan Agustus – Desember 2014 di Pelabuhan Ratu, Jawa Barat. Teknik analisis menggunakan pendekatan Data Envelopment Analysis (DEA) dan Coppock Index Instability (CII). Data yang digunakan adalah data time series statistik PPN Pelabuhan Ratu. Hasil analisis yang diperoleh menunjukkan bahwa sebagian besar armada telah mencapai tingkat efisiesni (nilai efisiensi=1); sedangkan perubahan total faktor produktivitas mengalami fluktuasi yang tajam (berada dikuadran III) pertumbuhan tinggi disertai ketidakpastian yang tinggi, mengindikasikan terjadi ketidakstabilan. Kondisi ini mengindikasikan terjadinya persaingan yang ketat diantara pelaku usaha sehingga menyebabkan terjadinya over-fishing dan over-capasity. Oleh karena itu diperlukan kebijakan untuk dapat mengurangi ketidakstabilan dengan cara rasionalisasi armada tangkap terutama alat tangkap yang sudah tidak efisien dan pengendalian kapal tuna long line. (Total Factor Productivity And Instability Index Of Marine Capture Fisheries: Case in Pelabuhan Ratu, West Java)Fishery production at the Nusantara Fishery Harbour in Pelabuan Ratu increases more than double of production from 2002 to 2013. The increase was only occured for number of marine inboard motor size more than 5 GT, while marine outboard motor size less than 5 GT experienced a sharp decrease. In 2013 the production share of marine inboard motor was more than 95 per cent, while the production share of marine outboard motor was less than 5 per cent. This condition had an impact on imbalaced resource allocation. The applied policy was formulated for fishery management in Pelabuhan Ratu based on information of efficiency, productivity change, and instability index. The analysis was done by using Data Envelopment Analysis (DEA) and Coppock Index Instability (CII) approaches. The result showed that most of big boats (more than 5 GT) have been efficient (efficiency value=1), while total productivity factor fluctuated sharply and indicated instability of production. Coppock Index Instability and growth index showed that most of conditions were on positive growth stage with high level of instability. This conditon caused tight competition among businessmen leading to over fishing and over capacity. A policy is needed to reduce instability by rationalizing capturing boat, especially the infficient ones and to controlling tuna long line vessel.

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.

Measuring the Efficiency of Free and Open Source Software Projects Using Data Envelopment Analysis

2007 ◽  
pp. 25-46
Author(s):  
Stefan Koch
Keyword(s):  
Data Envelopment Analysis ◽  
Open Source ◽  
Optimization Method ◽  
Future Research ◽  
Data Envelopment ◽  
Software Projects ◽  
Data Set ◽  
Output Factors ◽  
Future Research Directions ◽  
Using Data

In this chapter, we propose for the first time a method to compare the efficiency of free and open source projects, based on the data envelopment analysis (DEA) methodology. DEA offers several advantages in this context, as it is a non-parametric optimization method without any need for the user to define any relations between different factors or a production function, can account for economies or diseconomies of scale, and is able to deal with multi-input, multi-output systems in which the factors have different scales. Using a data set of 43 large F/OS projects retrieved from SourceForge.net, we demonstrate the application of DEA, and show that DEA indeed is usable for comparing the efficiency of projects. We will also show additional analyses based on the results, exploring whether the inequality in work distribution within the projects, the licensing scheme or the intended audience have an effect on their efficiency. As this is a first attempt at using this method for F/OS projects, several future research directions are possible. These include additional work on determining input and output factors, comparisons within application areas, and comparison to commercial or mixed-mode development projects.

scholarly journals Assessment of academic departments efficiency using data envelopment analysis

2011 ◽  
Vol 4 (2) ◽  
Author(s):  
Salah R. Agha ◽  
Ibrahim Kuhail ◽  
Nader Abdul Nabi ◽  
Mahmoud Salem ◽  
Ahmed Ghanim
Keyword(s):  
Data Envelopment Analysis ◽  
Academic Departments ◽  
Data Envelopment ◽  
Using Data

Measuring the Efficiency of Free and Open Source Software Projects Using Data Envelopment Analysis

2009 ◽  
pp. 2963-2977
Author(s):  
Stefan Koch
Keyword(s):  
Data Envelopment Analysis ◽  
Open Source ◽  
Optimization Method ◽  
Future Research ◽  
Data Envelopment ◽  
Software Projects ◽  
Data Set ◽  
Output Factors ◽  
Future Research Directions ◽  
Using Data

In this chapter, we propose for the first time a method to compare the efficiency of free and open source projects, based on the data envelopment analysis (DEA) methodology. DEA offers several advantages in this context, as it is a non-parametric optimization method without any need for the user to define any relations between different factors or a production function, can account for economies or diseconomies of scale, and is able to deal with multi-input, multi-output systems in which the factors have different scales. Using a data set of 43 large F/OS projects retrieved from SourceForge.net, we demonstrate the application of DEA, and show that DEA indeed is usable for comparing the efficiency of projects. We will also show additional analyses based on the results, exploring whether the inequality in work distribution within the projects, the licensing schem,e or the intended audience have an effect on their efficiency. As this is a first attempt at using this method for F/OS projects, several future research directions are possible. These include additional work on determining input and output factors, comparisons within application areas, and comparison to commercial or mixed-mode development projects.

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