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Gustina, Sapriani
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Journal : Internet of Things and Artificial Intelligence Journal

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A Student Grouping Based on Final Exam Values of the Courses with the K-Means Classification Method Using KNIME Sapriani Gustina
Internet of Things and Artificial Intelligence Journal Vol. 1 No. 2 (2021): Volume 1, Issue 2, 2021 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (845.79 KB) | DOI: 10.31763/iota.v1i2.378

Abstract

In learning, each student must have a different way of learning and learning patterns which will have an impact on the results of their learning evaluation at the end of each semester. Assessing a student who excels in learning is one of them by looking at the score of the final exam results that maybe the student can easily get good grades because they do have expertise in that field or get good grades because they are diligent in studying. The scores of students' final semester exams in several courses will be summarized here in order to be used as a basis for classifying students into several groups, namely smart, average, and less good students.
Co-Authors Abdul Fadlil Enda Apriani Faudiah, Sri Ulfa Faudiah, Sri Ulfa Feri Febria Laksana Hakim, Lukman Hakim, Lukman Hb. Sukarjo Jemadi Jemadi Lukman Hakim Muhammad Eka Purbaya Muhammad Khusaini Azis Muhammad Noviansyah Aridito Muhammad Sigit Cahyono Nugraha, Anggit Ferdita Putri, Shela Fadila Putri, Shela Fadila Rusydi Umar Shela Fadila Putri Sri Ulfa Faudiah