Evaluation of Student Ability in Laboratory of Electronics Engineering Department with Fuzzy Logic Calculation

  • Zulwisli Zulwisli Universitas Negeri Padang
  • Andhika Herayono Fakultas Teknik Universitas Negeri Padang
  • Ambiyar Ambiyar Universitas Negeri Padang
  • Wakhinuddin Simatupang Universitas Negeri Padang
Keywords: Ability, Quiz, Fuzzy Logic, Electronics Engineering


Instructive frameworks normally utilize old-style strategies for execution assessment. In this framework, understudy execution relies upon Quiz outcomes and is assessed uniquely as progress or disappointment. Elective, non-traditional execution assessment strategies might be utilized, like fuzzy rationale, a numerical procedure of set-hypothesis that can be applied to many types of dynamic remembering research for designing and man-made brainpower. This review proposes another presentation assessment technique dependent on fuzzy rationale frameworks. Understudy execution of Control Technique Laboratory in University State of Padang Technical Education Faculty, electronics engineering Department, was done with fuzzy rationale and it was contrasted and old-style assessing strategy. Study Quizs are notes in which twenty understudies took the control procedure lab course. Assessment of the outcomes showed varieties among the traditional and fuzzy rationale techniques. In spite of the fact that exhibition assessment utilizing fuzzy rationale is confounded and requires extra programming, it gives some assessment benefits. fuzzy rationale assessment is adaptable and gives numerous assessment alternatives, while the old-style strategy holds fast to consistent numerical estimation. At the implementation stage, the instructor liable for the lab implementation can alter the scopes of participation capacities and rules, allowing non-homogenous yet adaptable and target execution assessment.


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How to Cite
Z. Zulwisli, A. Herayono, A. Ambiyar, and W. Simatupang, “Evaluation of Student Ability in Laboratory of Electronics Engineering Department with Fuzzy Logic Calculation”, JTIP, vol. 15, no. 1, pp. 65-75, Jul. 2022.
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