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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Union: Jurnal Ilmiah Pendidikan Matematika Indonesian Journal of Science and Mathematics Education MUST: Journal of Mathematics Education, Science and Technology Jurnal Pendidikan Matematika (Jupitek) Jurnal Riset Pendidikan dan Inovasi Pembelajaran Matematika (JRPIPM) Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika Lentera:Indonesian Journal of Multidisciplinary Islamic Studies Edumatika Fahima: Jurnal Pendidikan dan Kajian Keislaman Indonesian journal of teaching and learning Journal of Mathematics Learning Innovation (JMLI) KOLONI Jurnal Multidisiplin West Science Euclid MAXIMA West Science Islamic Studies Jurnal Pengembangan Pembelajaran Matematika Jurnal Studi Edukasi Integratif
Alghar, Muhammad Zia
UIN Maulana Malik Ibrahim
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Journal : MUST: Journal of Mathematics Education, Science and Technology

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A STRATEGI MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA UNIVERSITAS MUHAMMADIYAH PONOROGO DENGAN TEORI FUZZY TSUKAMOTO Ranti Kurniasih; Annafi Awantagusnik; Muhammad Zia Alghar
MUST: Journal of Mathematics Education, Science and Technology Vol 9 No 1 (2024): JULY
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v9i1.22830

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.
Co-Authors Aam Choirotul Cholidiyah Abdussakir Abdussakir Afandi, Muhammad Irfan Akbar, Lalu Ajimuliardi Annafi Awantagusnik Dwi Setiawati Radjak Elly Susanti Fauzan, Hakmi Rais Hakmi Rais Fauzan Imam Rofiki Jamaluddin Jamaluddin Juhari Juhari, Juhari Marhayati Natasya Ziana Walidah Radjak, Dwi Setiawati Ranti Kurniasih Rizqiyah, Anisatur Santoso, Ahmad Walidah , Natasya Ziana Zeid B. Smeer