TITLE:
The Efficiency Measurement of Indonesian Universities Based on a Fuzzy Data Envelopment Analysis
AUTHORS:
Umi Mahmudah, Muhamad Safiih Lola
KEYWORDS:
Efficiency Measurement, Universities, DEA, FDEA
JOURNAL NAME:
Open Journal of Statistics,
Vol.6 No.6,
December
6,
2016
ABSTRACT: The main objective of this study is to
measure the relative efficiency of Indonesian universities in 2015. There are
twenty five DMUs with four inputs and five outputs that are analyzed. Due to
the low number of Indonesian scientific publications, this study analyses the
performance of the top 25 universities based on the Webometrics ranking as it
has been used as one of the indicators of university achievements by the Higher
Education of Indonesia. The Data Envelopment Analysis (DEA) is used to obtain
the scores of efficiency, while the Fuzzy approach is applied to address the
possibility of errors from the auditor’s assessment in determining the input
and output variables correctly. The FDEA can be used in measuring the
universities performances under imprecise inputs and outputs. Both the CRS
(constant returns to scale) and the VRS (variable returns to scale) models are
presented. The empirical results show that 36 percent of universities perform
efficiently on the CRS model while 52 percent of universities have efficient
performances under the VRS model. Furthermore, the well-known universities have
shown relatively low scores, which indicate they need to improve their
performances in publishing scientific work, as well as providing useful
information to the public through the official websites. Generally, the results
of the VRS model are better than the CRS model for both the DEA and the FDEA
methods.