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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Ilmiah Sinus Bulletin of Computer Science Research Jurnal (FORSINTA) Informatika, Sistem Informasi dan Kehutanan Jurnal Manajemen Sistem Informasi
Kurniawansyah, Kevin
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Agriculture, Biological Sciences & Forestry Computer Science & IT

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Implementation of Data Mining for Predicting Student Graduation Using the K-Nearest Neighbor Algorithm at Jambi Muhammadiyah University Amandha, Shandy; Rohayani, Hetty; Kurniawansyah, Kevin
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.26150

Abstract

Graduation is one of the assessment items in the accreditation process of a tertiary institution. So that if students graduate on time, it will help assess the accreditation of a tertiary institution. The method used is K-Nearest Neighbor (K-NN). This method is used to classify objects based on learning data closest to the object. This research aims to predict the graduation of Jambi Muhammadiyah University students, whether it is worth graduating on time or not graduating on time. In research using K-NN to predict student graduation, the results were that the K-NN approach in this study produced an accuracy value of 93.33%. The result is testing with a value of K = 5 using 50 training data for Jambi Muhammadiyah University students who have graduated in 2022; then data testing is tested with training data that has been tested before, 4 students who graduated not on time and who graduated on time were 46 students.
Co-Authors Akbar, Zulfikri Alfareza, Muhammad Amandha, Shandy Aryani, Reni Ediansa, Oka H, Noneng Marthiawati. Heri Santoso Hetty Rohayani Jeffri, Muhammad Marthiawati, Noneng Marthiawati. H, Noneng Muhammad Fauzi Nopriyani, Dwi NOVITASARI Nugraha, Hafiz Setiawan Assegaf Syah, Ade Setiawan Yaakub, Saleh Yuvanda, Sesraria