STRATEGY FOR PREDICTING GRADUATION RATES OF MUHAMMADIYAH PONOROGO UNIVERSITY STUDENTS USING FUZZY TSUKAMOTO THEORY

Ranti Kurniasih (1), Annafi Awantagusnik (2), Muhammad Zia Alghar (3)
(1) Muhammadiyah University of Ponorogo, Indonesia,
(2) Universitas Al-Qolam Malang, Indonesia,
(3) State University og Malang, Indonesia

Abstract

The purpose of this research is to create a mathematical model related to fuzzy logic to predict student graduation rates starting in 2024. This type of research is applied research. The method used is the tsukamoto method in fuzzy analysis and checking the accuracy of forecasting with MAPE. Data collection techniques are carried out by collecting primary data and secondary data. The primary data used is data on new student admissions, many graduates, and many graduates from Muhammadiyah Ponorogo University in 2021, 2022, and 2023. Secondary data is obtained from books, articles, and documents relevant to Tsukamoto fuzzy. The results of the Tsukamoto fuzzy analysis with MAPE testing show that the fuzzy model built is at a percentage of 5.3%. This means that the fuzzy system has excellent forecasting capabilities in predicting student graduation rates in 2021, 2022, and 2023 and can be used to predict many graduates in 2024.

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Authors

Ranti Kurniasih
rantikurniasih@umpo.ac.id (Primary Contact)
Annafi Awantagusnik
Muhammad Zia Alghar
Author Biography

Ranti Kurniasih, Muhammadiyah University of Ponorogo

S1 : State University Of Malang

S2 : State University Of Malang

Kurniasih, R., Awantagusnik, A., & Zia Alghar, M. (2024). STRATEGY FOR PREDICTING GRADUATION RATES OF MUHAMMADIYAH PONOROGO UNIVERSITY STUDENTS USING FUZZY TSUKAMOTO THEORY. MUST: Journal of Mathematics Education, Science and Technology, 9(1). https://doi.org/10.30651/must.v9i1.22830

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