Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.

Research Article

Visualization Quality Achievement Program by Using Inference System Mamdani Method

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  • @INPROCEEDINGS{10.4108/eai.11-7-2019.2297748,
        author={Mohamad  Irfan and Wildan Budiawan Zulfikar and Ivan  Adrian},
        title={Visualization Quality Achievement Program  by Using Inference System Mamdani Method },
        proceedings={Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia.},
        publisher={EAI},
        proceedings_a={ICONISTECH},
        year={2021},
        month={1},
        keywords={quality inference system mamdani fuzzy set fuzzification rule evaluation defuzzification},
        doi={10.4108/eai.11-7-2019.2297748}
    }
    
  • Mohamad Irfan
    Wildan Budiawan Zulfikar
    Ivan Adrian
    Year: 2021
    Visualization Quality Achievement Program by Using Inference System Mamdani Method
    ICONISTECH
    EAI
    DOI: 10.4108/eai.11-7-2019.2297748
Mohamad Irfan1,*, Wildan Budiawan Zulfikar1, Ivan Adrian1
  • 1: Department of Informatics, Sunan Gunung Djati Bandung State Islamic University, Jl. AH Nasution No. 105, Bandung, West Java, Indonesia
*Contact email: irfan.bahaf@uinsgd.ac.id

Abstract

Quality of education is the crucial thing, one of the factors that affect the quality of education is a teacher. In higher education, teachers/lecturers play as an important role in the quality of graduates. To improve the quality of the graduates is required qualified lecturers, both in terms of assessment of students and other aspects of learning. One way to know the quality of teachers/lecturers in teaching and learning process is by doing the performance evaluation of lecturers. In the process of evaluation, it needs an indicator which is used as a benchmark whether it is good or not related to the lecturer performance. The use of Mamdani Inference System Method is very appropriate to find the value that used as an indicator by using two input variables namely lecturer value and survey result value. The first step is to determine the input and output variables that are set of defects. The second is to convert the input variable into fuzzy set with fuzzification process. Furthermore, the data of fuzzy set is processed with maximum method. The final step is to turn the output into a set in the defuzzification process using the Center of Average method, thus, it will get the desired results for the output variable. The result of the calculation using the Inference System Mamdani method found that the value in a variable of lecturer with values 61 and the value of the survey result with values 83 is 81.