doi: 10.18178/ijiet.2019.9.6.1242
Fuzzy Inference System to Predict HE Performance
I. N. Sutapa
,
Z. J. H. Tarigan ,
J. Mochtar ,
J. Rahardjo
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.
Keywords
- Fuzzy inference system
- balanced scorecards
- higher education performance
How to 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. https://doi.org/10.18178/ijiet.2019.9.6.1242
Copyright & License
Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).