Identification of glucose levels in urine based on classification using k-nearest neighbor algorithm method
Authors
Anton Yudhana
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Indonesia
Fathiyyah Warsino
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Indonesia
Son Ali Akbar
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Indonesia
Fatma Nuraisyah
Public Health Science Study Program, Faculty of Public Health, Universitas Ahmad Dahlan, Indonesia
Ilham Mufandi
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad Dahlan, Indonesia
Department of Agro-industrial Technology, Faculty of Science and Technology, University of Darussalam Gontor, Indonesia
DOI: https://doi.org/10.2478/ijssis-2023-0006 | Journal eISSN: 1178-5608
Language: English
Submitted on: Aug 15, 2022
Published on: Aug 3, 2023
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
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© 2023 Anton Yudhana, Fathiyyah Warsino, Son Ali Akbar, Fatma Nuraisyah, Ilham Mufandi, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.