Sutapa, I Nyoman and Tarigan, Zeplin Jiwa Husada and , Jenny Mochtar and Rahardjo, Jani (2019) Fuzzy Inference System to Predict HE Performance. [UNSPECIFIED]
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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.
| Item Type: | UNSPECIFIED |
|---|---|
| Uncontrolled Keywords: | Fuzzy inference system, balanced scorecards, higher education performance. |
| Subjects: | L Education H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering Department |
| Depositing User: | Admin |
| Date Deposited: | 22 Oct 2019 23:32 |
| Last Modified: | 10 Sep 2024 12:24 |
| URI: | https://repository.petra.ac.id/id/eprint/18547 |
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