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MEASURING PERFORMANCE OF COMMUNITY COLLEGES IN K242/52
MALAYSIA USING DATA ENVELOPMENT ANALYSIS (DEA) MODELS
PREPARED BY: NOR AFIQAH BINTI RAZALI
SUPERVISOR: MADAM NORFARZIAH BINTI ADNA
ABSTRACT
This project examines the efficiency scores of 13 community colleges in Malaysia using input-oriented CCR and SBM models. Two inputs and two outputs are
determined to measure the performance of the community colleges. The findings show that three out of 13 community colleges are efficient with an efficiency score
equal to 1 using input-oriented CCR model and input-oriented SBM model. Meanwhile, the remaining 10 community colleges are inefficient with efficiency score below
than 1.
OBJECTIVES
PROBLEM STATEMENT METHOD & IMPLEMENTATION
Community colleges in Malaysia are To measure the efficiency score of community
increasingly recognized for providing affordable colleges in Malaysia using CCR model and SBM This study utilizes secondary data sourced
higher education and vital technical and model. from the official website of the Ministry of
vocational training. Despite their growing To compare the efficiency score of community Higher Education (MOHE) Malaysia. The
importance, there is a lack of comprehensive colleges in Malaysia using CCR model and SBM analysis is based on two types of data:
studies evaluating their performance using model. Input data:
advanced efficiency measurement tools. While Number of enrolled students
the DEA method has been widely applied in Number of academic staff
higher education, its specific models are CCR RESULTS & DISCUSSION Output data:
and SBM have rarely been used to assess the Number of graduates
efficiency of Malaysian community colleges. Graduate employment status
Moreover, vocational institutions in the country The Efficiency Scores of Input-Oriented CCR (employment rates)
remain understudied. This gap limits Model and Input-Oriented SBM Model The output data were collected through
understanding of resource allocation and MOHE's Graduate Tracer Study, which tracks
institutional effectiveness in these colleges. graduate outcomes and employment
statistics, categorized by individual
community colleges.
CONCLUSION
To achieve the objective of this study, the efficiency of
13 community colleges in Malaysia was measured
using the CCR and SBM input-oriented DEA models. A
college is considered efficient if its score is equal to 1,
and inefficient if the score is less than 1. Based on the
CCR model, three colleges, Kolej Komuniti Segamat 2,
Kolej Komuniti Pasir Mas, and Kolej Komuniti Tawau
were found to be efficient. The same colleges were
also efficient under the SBM model. The SBM model
provides a more detailed analysis by identifying input
excesses and output shortfalls. The remaining ten
colleges had efficiency scores ranging from 0.0615 to
0.5620, indicating areas where they can improve by MODEl 1: Input-Oriented CCR Model
reducing unnecessary inputs and increasing useful
outputs such as graduate employment.
The analysis found that three community
colleges which are Kolej Komuniti Segamat 2,
RECOMMENDATIONS Pasir Mas, and Tawau were efficient, with an
Use Efficient Colleges as Benchmarks efficiency score of 1 in both the CCR and SBM
Kolej Komuniti Segamat 2, Pasir Mas, and input-oriented models. These colleges had no
Tawau can guide less efficient colleges. input excess and no output shortfall,
Improve Output Performance indicating optimal use of resources. The MODEl 2: Input-Oriented SBM Model
Focus on increasing the number of graduates remaining ten colleges were found to be
and their employability. inefficient, with efficiency scores below 1.
Expand Future Research Both models identified the same efficient and
Assess efficiency in other institutions like inefficient DMUs, but the SBM model offered
private colleges, training centers, and more detailed insight, especially in showing
polytechnics. how much input should be reduced or output
Use advanced DEA models such as the super- increased. These results are valuable for
efficiency model to rank efficient colleges guiding decision-making and resource
and gain deeper insights. optimization in community colleges.

