Optimization of fuzzy inference system's parameter using evolutionary programming algorithm for teacher certification in Indonesia

Teacher have an important role in Indonesia's education as professional educator in all grade. Teacher certification held to select teacher who fullfil basic competence as educator. Indonesia used scoring method with several assesment to make the decision about teacher certification. In this research, we applied the alternative method using Fuzzy Inference System (FIS). Hybrid algorithm with Evolutionary Programming (EP) algorithm was used to optimize the membership function and rules of FIS. The result from hybrid fuzzy-EP is compared with result from scoring method using confusion matrix. Fuzzy hybrid with EP have accuracy is 78.8% with accuracy of testing 85.6%.

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