International Journal of
Information and Education Technology

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 graduation rates.

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: ettypl@ut.ac.id).

[PDF]

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.