scholarly journals Performance of Indonesia's World-Class University Efficiency with Bibliometrics (Scientific Strength) Approach and Data Envelopment Analysis

Webology ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 32-50
Author(s):  
Cecep Ibrahim ◽  
Rahmat Fadhli
Keyword(s):  
Data Envelopment Analysis ◽  
Research Data ◽  
Measurement Methods ◽  
Data Envelopment ◽  
Citation Data ◽  
Collection Data ◽  
World Class ◽  
The University ◽  
Education Science ◽  
Bibliometric Approach

University efficiency is one of the scientific measurement methods for evaluating the effectiveness and use of educational resources available explicitly to the productivity of research publications. This study aims to determine the university's efficiency, between the number of researchers /authors owned by the university and the amount of Scientific Strength (publications and citations) produced by universities in Indonesia with the data envelopment analysis. The universities in this study are nine universities in the top 1000 Qs world universities in 2020. This research method consists of problem identification, data collection, data processing, results, and discussion. The research data obtained from Scopus.com metadata in publication and citation data and the year limited from 2017-2019. While the data of active university researchers/authors obtained from the Higher Education Science and Technology Index and actual student data obtained from PDDikti data. Data were analyzed using the bibliometric approach (scientific strength) and the data envelopment analysis approach. This study analyzed 41869 Indonesian scientific works indexed by Scopus with a bibliometric approach (scientific strength) and data envelopment analysis. This study indicatesthat the highest efficiency values are the University of Indonesia and Diponegoro University with an efficiency value of 1,000 while the lowest efficiency value is IPB University with an efficiency value of 0.060.

scholarly journals Analisis Kinerja Perusahaan dengan Menggunakan Balanced Scorecard dan Data Envelopment Analysis

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Hanung Eryadi Prasetya ◽  
Bambang Subroto ◽  
Erwin Saraswati
Keyword(s):  
Data Envelopment Analysis ◽  
Performance Improvement ◽  
Balanced Scorecard ◽  
Research Data ◽  
Data Envelopment ◽  
Determination Method ◽  
Financial Perspective ◽  
Analysis Instrument ◽  
Performance Decline ◽  
Customer Perspective

The objective of this research is to understand cooperation performance using integration of Balanced Scorecard and Data Envelopment Analysis an to analyze the eficiency and efectivity level by utilizing Data Envelopment Analysis based on criteria in Balanced Scorecard. The sampling determination method used non probability sampling. The research data were collected from Cooperation Agency in Jombang Regency. The data analysis instrument was performance assesment using Balanced Scorecard Perpective based on financial perspective, customer, internal bisnis, learning and growth, and also eficiency calculation using DEA output oriented model. The result of this research concludes : from financial perspective is has been there was performance improvement in 2014 and 2 Cooperation were eficient; from customer perspective it has been discovered that there was performance decline in 2014 and 2 Cooperation were eficient; from internal bisnis perspective, it has been detected that there was performance improvement in the last year and 2 Cooperation were eficient; from learning and growth perspective, it that only one Cooperation was able to reach maximum eficiency. Keywords: Performance, DEA, BSC, Efficiency

scholarly journals Measurement of Technical, Allocative, Economic, and Scale Efficiency of Rice Production in Arkansas Using Data Envelopment Analysis

2014 ◽  
Vol 46 (1) ◽  
pp. 89-106 ◽  
Author(s):  
K. Bradley Watkins ◽  
Tatjana Hristovska ◽  
Ralph Mazzanti ◽  
Charles E. Wilson ◽  
Lance Schmidt
Keyword(s):  
Data Envelopment Analysis ◽  
Cost Minimization ◽  
Irrigation Management ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
University Of Arkansas ◽  
Tobit Analysis ◽  
Using Data ◽  
The Right ◽  
The University

Data envelopment analysis is used to calculate technical, allocative, economic, and scale efficiencies for fields enrolled in the University of Arkansas Rice Research Verification Program. The results reveal most fields have high technical and scale efficiencies, implying inputs are used in minimum levels necessary to achieve given output levels and fields are close to optimal in size. However, most fields exhibit allocative and economic inefficiencies and do not use inputs in the right combinations necessary to achieve cost minimization. Tobit analysis indicated allocative and economic efficiencies could be improved with better variety selection and better irrigation management.

ASSESSING UNIVERSITY TECHNOLOGY TRANSFER: A MEASURE OF EFFICIENCY PATTERNS

2008 ◽  
Vol 05 (04) ◽  
pp. 495-526 ◽  
Author(s):  
JISUN KIM ◽  
TIMOTHY ANDERSON ◽  
TUGRUL DAIM
Keyword(s):  
Data Envelopment Analysis ◽  
Technology Transfer ◽  
Transfer Efficiency ◽  
University Technology Transfer ◽  
Data Envelopment ◽  
New Approach ◽  
University Technology ◽  
Changing Patterns ◽  
Input Variables ◽  
The University

There have been very active and significant studies done in the area of university technologies transfer (UTT). One interested topic among them is to measure performance of the UTT. Data Envelopment Analysis (DEA) has been regarded as a proper approach to measure the university technology transfer efficiency (UTTE). However, current studies stay in identifying efficient and inefficient universities and related output or input variables which could contribute to improve their efficiencies. This study is intended to understand further how the universities recognized efficient are different and the changes of their performance over years. For this purpose, this study proposes a new approach, the efficiency pattern diagram, to identify changing patterns of the technology transfer of 17 efficient universities out of 51 US universities from 2001 to 2004. Five efficiency patterns are identified by this study: "newly emerging", "strengthening", "strong", "weakening", and "declining". The properties of each pattern and limitations of the approach are discussed with verification of the pattern by extending them to 2005.

scholarly journals Analisis Efisiensi Bank Pembangunan Daerah Ekspansi dan Non-Ekspansi Dengan Pendekatan Data Envelopment Analysis

2018 ◽  
Vol 6 (3) ◽  
pp. 346-351
Author(s):  
Fathista Vistarani Dwi Octaviani
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Secondary Data ◽  
Financial Statements ◽  
Research Data ◽  
Data Envelopment ◽  
Input Output ◽  
Efficiency Ratio ◽  
Regional Bank ◽  
Year 2013

Efisiensi Bank Pembangunan Daerah (BPD) yang di gambarkan oleh rasio BOPO selama tahun 2013 hingga 2015 menunjukkan inefisiensi bank yang selalu meningkat. Perluasan area operasional yang dilakukan oleh BPD tentunya membawa konsekuensi pada efisiensi BPD itu sendiri. Penelitian ini bertujuan untuk menganalisis efisiensi BPD ekspansi dan non-ekspansi baik secara keseluruhan maupun individual serta menentukan besarnya variabel input-output yang harus ditingkatkan ataupun diturunkan BPD guna meningkatkan tingkat efisiensinya pada tingkat maksimal atau 100 persen. Metode penelitian yang digunakan Data Envelopment Analysis (DEA). Data penelitian ini adalah data sekunder dan bersumber dari Bank Indonesia, Otoritas Jasa Keuangan, Badan Pusat Statistik dan laporan keuangan masing-masing BPD tahun 2013 – 2015. Hasil penelitian ini menunjukkan tingkat efisiensi teknis rata-rata BPD ekspansi mencapai 99,90 persen sedangkan tingkat kinerja efisiensi teknis rata-rata BPD non-ekspansi mencapai 99,17 persen. The efficiency of the regional bank (BPD) that are described by the ratio Operational Efficiency Ratio (OER) during 2013 to 2015 always experinece increased efficiency which shows that BPD has decreased year 2013 to 2015. In addition to the expansion of areas of operation conducted by the BPD surely bring consequences on the efficiency of BPD itself. This research aims to analyze the efficiency of BPD and non-eexpansion either individually or as a whole as well as to determine the magnitude of the variable input-output which should be improved or demoted BPD in order to increase the level of efficiency at the level of maximum or 100 percent. The method of research used Data Envelopment Analysis (DEA). This research data are secondary data and proceeds from Bank Indonesia, the finansial services authority, the Central Bureau of statistics and financial statements each year 2013 – 2015 BPD. The results of this study indicate the level of technical efficiency on average reached 99.90 percent expansion BPD while the performance level of technical efficiency of the average BPD non-expansion reached 99.17 percent

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