IMPLEMENTATION OF THE FUZZY TSUKAMOTO METHOD IN THE ASSESSMENT OF OUTSTANDING STUDENTS AT SMP TUNAS BANGSA

Annisa Annisa

= https://doi.org/10.26753/dns.v1i1.1561
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Abstract


This study develops a decision support system for assessing student achievement in junior high school using the Fuzzy Tsukamoto method. The system integrates three main assessment components: academic scores, attitude, and student activity. The implementation is carried out using the Python programming language with visualization through Matplotlib. Testing results show that the system achieves an accuracy level of 87.5% compared to manual assessment by teachers. This system helps optimize the student achievement evaluation process with a more objective and measurable approach.

Keywords


Fuzzy Tsukamoto, decision support system, achievement assessment, Python, learning

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References


Zadeh, L. A. (2015). "Fuzzy logic—a personal perspective." Fuzzy Sets and Systems, 281, 4-20.

Wang, L. X. (2019). "Adaptive fuzzy systems and control: Design and stability analysis." Prentice Hall.

Kusumadewi, S., & Purnomo, H. (2020). "Aplikasi Logika Fuzzy untuk Pendukung Keputusan." Graha Ilmu.

Anderson, L. W., & Krathwohl, D. R. (2021). "A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives." Pearson Education.

Johnson, R. B., & Christensen, L. (2019). "Educational research: Quantitative, qualitative, and mixed approaches." SAGE Publications.

Tsukamoto, Y. (2018). "An approach to fuzzy reasoning method." Advances in fuzzy set theory and applications, 137-149.

Ross, T. J. (2017). "Fuzzy logic with engineering applications." John Wiley & Sons.

Klir, G. J., & Yuan, B. (2019). "Fuzzy sets and fuzzy logic: theory and applications." Prentice Hall.

Zimmermann, H. J. (2018). "Fuzzy set theory and its applications." Springer Science & Business Media.

Jamshidi, M. (2017). "Applications of fuzzy logic: Towards high machine intelligence quotient systems." Prentice Hall.

Sugeno, M., & Kang, G. T. (2016). "Structure identification of fuzzy model." Fuzzy Sets and Systems, 28(1), 15-33.

Mamdani, E. H., & Assilian, S. (2018). "An experiment in linguistic synthesis with a fuzzy logic controller." International Journal of Human-Computer Studies, 51(2), 135-147.

Lee, C. C. (2020). "Fuzzy logic in control systems: fuzzy logic controller." IEEE Transactions on Systems, Man, and Cybernetics, 20(2), 404-418.


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