Abstract—Data Envelopment Analysis (DEA) is a relatively
new data oriented approach for evaluating the performance of a
set of peer entities called Decision Making Units (DMUs) which
convert multiple inputs into multiple outputs. These DEA
applications have used DMUs of various forms to evaluate the
performance of entities, such as hospitals, universities, cities,
courts, business firms, and others. The article is to analyze the
Efficiency of Distance Learning Program Unit of the Open
University (UPBJJ-UT) Semarang using Data Envelopment
Analysis. Input variables used are the number of lecturer,
number of students and tuition fee, while the output variable is
the number of graduation. The results suggests that
achievement performance of UPBJJ-UT Semarang is less
efficient. This condition indicates inefficiency in production
inputs such as lecturers and number of graduation as output.
Therefore lecturers should be empowered to improve student
Index Terms—Efficiency, performance, data envelopment analysis, UPBJJ-UT semarang.
Etty Puji Lestari is with the Departement of Economics, Open University of Indonesia, Pondok Cabe, Jakarta 15418, Indonesia (e-mail: firstname.lastname@example.org).
Cite: Etty Puji Lestari, "Assessing the Efficiency of UPBJJ-UT Semarang Using Data Envelopment Analysis," International Journal of Information and Education Technology vol. 5, no. 4, pp. 292-296, 2015.