Fuzzy Inference System to Predict HE Performance

I. N. Sutapa, Z. J. H. Tarigan, J. Mochtar, J. Rahardjo
2019 International Journal of Information and Education Technology  
The article discusses a methods to predict Higher Education (HE) performance based on four perspectives of Balanced Scorecards. The relationship model among perspectives to the performance was developed using fuzzy inference system. There are 12 predictors variable are developed as Key Performance Indicator's of BSC. The expert were chosen from qualified national assessor to evaluate the membership function of the predictive variable, and to develop the inference rules from predictor variable
more » ... redictor variable to output variable. Based on confirmation and validation model design to the expert, the model can be used to predict the HE's performance. Index Terms-Fuzzy inference system, balanced scorecards, higher education performance. Z. J. H. Tarigan is with Management Department, ). J. Mochtar is a full-time lecturer in the English Department of Petra Christian University, Indonesia since 1985. She obtained her MA in Literature from Arizona State University and her Doctorate, also in Literature, from the University of Indonesia. The courses she teaches range from culture to literature: Public Speaking, British Studies, Australian Studies, Drama, Popular Literature, Literature and Gender. Her research interest lies in Indonesian popular literature, popular culture and gender studies and she has published and presented papers in these areas in journals and in national and international conferences. J. Rahardjo was born in Surabaya, Indonesia in 1962. Graduated form Management Technology of Asian Institute of Technology, Bangkok Thailand and a doctorate of Advanced Manufacturing Technology from Universiti Teknologi Melaka, Malaysia. He is a full-time lecturer in the Industrial Engineering Department, Petra Christian University Surabaya, Indonesia since 1989. The courses he teaches range from Statistical Methods, Statistical Quality Control, Quality Management System, Six Sigma, Decision Analysis, and Management Technology. His research interest lies in decision making using AHP, quality process improvement, processes design, and innovation process, and advanced manufacturing technology for SME. He also serves as a consultant of process innovation and improvement, quality management system, and six sigma for some companies in Indonesia.
doi:10.18178/ijiet.2019.9.6.1242 fatcat:awurxctylbccdmp4sorszpgz5i