Open AccessDecision support system with TOPSIS method for lecturer appraisal in Universitas PGRI Madiun
Author(s) -
S Saifulloh,
Ridho Pamungkas,
Mei Lenawati
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1375/1/012009
Subject(s) - topsis , accreditation , computer science , decision support system , engineering management , operations research , management science , mathematics , engineering , medical education , artificial intelligence , medicine
Assessment of lecturer at university is a form of activity to evaluate the performance of each lecturer. PGRI University of Madiun (UNIPMA) always strives to improve accreditation by improving quality with other universities. Making a decision support system is one way to assist in determining lecturer’s assessment in UNIPMA. This decision support system uses the TOPSIS method and will be developed using the Waterfall model. In this study to solve the problem of educator performance assessment that is UNIPMA lecturer. The assessment process includes qualifications of education, learning, research, and the number of community service activities that have been done. By using the TOPSIS method of counting process and giving the result of lecturer appraisal that has been roughed more efficient and precise. Based on the results of the research using lecturer data sampling of 10 educators obtained the highest value data is 0.75 (Very Good) where the range of decision assessment 1 - 0.65 (Very Good), 0.64 - 0.4 (Good), 0.39 - 0.25 (Enough) and 0.24 - 0 (Bad).