Identification of glucose levels in urine based on classification using k -nearest neighbor algorithm method
, , , y
03 ago 2023
Acerca de este artículo
Categoría del artículo: Article
Publicado en línea: 03 ago 2023
Recibido: 15 ago 2022
DOI: https://doi.org/10.2478/ijssis-2023-0006
Palabras clave
© 2023 Anton Yudhana et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Yudhana, Anton
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad DahlanIndonesia
Warsino, Fathiyyah
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad DahlanIndonesia
Akbar, Son Ali
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad DahlanIndonesia
Nuraisyah, Fatma
Public Health Science Study Program, Faculty of Public Health, Universitas Ahmad DahlanIndonesia
Mufandi, Ilham
Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad DahlanIndonesia
Department of Agro-industrial Technology, Faculty of Science and Technology, University of Darussalam GontorIndonesia