International Journal of Artificial Intelligence Research
Vol 4, No 1 (2020): June

Data Envelopment Analysis with Lower Bound on Input to Measure Efficiency Performance of Department in Universitas Malikussaleh

Dahlan Abdullah (Scopus ID: 57205132023
Department of Informatics Universitas Malikussaleh, Aceh, Indonesia)

Cut Ita Erliana (Department of Industrial Engineering, Universitas Malikussaleh, Aceh Utara, Aceh)
Muhammad Fikry (Life Science and System Engineering Kyushu Institute of Technology)



Article Info

Publish Date
09 Apr 2020

Abstract

DEA has become one of the most appropriate methods for comparing the various Decision-Making Units (DMU) associated with public services such as universities.  There are two primary outputs that can be used to measure college performance, namely: the number of graduates and the number of publications.  While the primary input of college efficiency measurement is the number of teaching staff and the number of students.  The higher learning institution is  Universitas Malikussaleh, located in Lhokseumawe, a city in the Aceh province of Indonesia. This paper develops a method to evaluate the efficiency of all departments in Universitas Malikussaleh using DEA with bounded input. The extreme dissimilarity between the weights often found in DEA applications. In this paper, we develop a new DEA model, which can be transformed into a particular case of the bi-level linear program to calculate the lower boundary of input from the pessimistic viewpoints based on the shortcomings of the existing approaches. In the case of having a single input, providing lower bounds for the input weights by imposing the conditions that it uses for the average input level of the DMU being assessed uses per unit of output.  Accordingly, we present some essential differences inefficiency of those departments. Finally, we discuss the effort that should be made by these departments in order to become efficient

Copyrights © 2020






Journal Info

Abbrev

IJAIR

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

International Journal Of Artificial Intelligence Research (IJAIR) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented topics of Artificial intelligent Research which covers four (4) ...