Abstract—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 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.
I. N. Sutapa and J. Rahardjo are with Industrial Engineering Department, Petra Christian University, Surabaya 60236, Indonesia (e-mail: email@example.com, firstname.lastname@example.org).
Z. J. H. Tarigan is with Management Department, Petra Christian University, Surabaya 60236, Indonesia (e-mail: email@example.com).
J. Mochtar was with Quality Assurance Institute and she is with English Department, Petra Christian University, Surabaya 60236, Indonesia (e-mail: firstname.lastname@example.org).
Cite: I. N. Sutapa, Z. J. H. Tarigan, J. Mochtar, and J. Rahardjo, "Fuzzy Inference System to Predict HE Performance," International Journal of Information and Education Technology vol. 9, no. 6, pp. 437-440, 2019.