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All Journal Journal of Information System, Applied, Management, Accounting and Research
Affikri, Muhammad
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Computer Science & IT Decision Sciences, Operations Research & Management

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Penerapan Algoritma K-Nearest Neighbor untuk Prediksi Kelulusan Siswa di SD Negeri 1 Kedungsari Affikri, Muhammad; Aruan, Meri Chrismes; Irsan, Muhamad
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 4 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i4.2065

Abstract

Student graduation is an important indicator in measuring the effectiveness of the learning process and the success of educational institutions. Low graduation rates can be influenced by various factors, such as academic grades, attendance, and other factors. Using the K-Nearest Neighbor algorithm method, the distance between training data attributes and new input data attributes will be predicted using the Euclidean Distance calculation. Graduation factors considered include grades, attendance, extracurricular activities, attitudes, achievements, and parental education. The results of the study show that the program produces a prediction system with maximum accuracy. However, there are still several program shortcomings that need to be improved, such as increasing the amount of data and also considering the influence of other factors.
Co-Authors Aruan, Meri Chrismes Muhamad Irsan