02248ntm a2200289 a 4500 vtls000098284 KUKTEM 20251117113340.0 161206s2015 my da f abm 000 0 eng d THE0000023(Local) 201905131024 aishah 201712061241 nazri 201612061324 saini 201612061029 saini UMP FIM .A65 2015 r Bc. Nurul Aqilah Rahman An evaluation of resources efficiency in University Malaysia Pahang using data envelopment analysis (DEA) method / Nurul Aqilah Rahman Kuantan, Pahang : UMP, 2015 [xi, 48] p. : ill. (some col.) ; 30 cm. + 1 CD-ROM Faculty of Industrial Technology Management Project Paper (Bachelor Degree (Hons) of Industrial Technology Management) -- Universiti Malaysia Pahang – 2015 Bibliography : p. [46] This research study involves DEA in order to determine the performance level of 9 faculties in University Malaysia Pahang (UMP). The aim of the research is to estimate and analyse the efficiency in (UMP) for the academic year 2014. Using the number of students enrolled, number of lecturer and lecture room provided as inputs, and the total number of graduate student and a number of publication as outputs. Technical efficiency was used to estimate efficiency. And by using DEA it is possible to get a general execution measure performance through the examination of a gathering of decision units. Objective of this study is to identify the efficiency variable influencing faculty’s performance and to evaluate the efficiency of faculties’ performance using DEA. Recently, in many studies DEA method has been use to evaluate performance of university. The result showed that UMP faculty obtained average scale efficiency 0.86 and only three UMP faculties get the optimum size. Faculty of Industrial Technology Management Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/25589/ Access in library only 0 0 0 6 10000 10000 2019-09-04 0 FIM .A65 2015 r Bc. 0000115624 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 10377 | FIM .A65 2015 r Bc. 0000115625 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 7179 7185 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992