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Identification of glucose levels in urine based on classification using k-nearest neighbor algorithm method

Anton Yudhana

Anton Yudhana

Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad DahlanIndonesia
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Yudhana, Anton
, 
Fathiyyah Warsino

Fathiyyah Warsino

Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad DahlanIndonesia
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Warsino, Fathiyyah
, 
Son Ali Akbar

Son Ali Akbar

Department of Electrical Engineering, Faculty of Industrial Technology, Universitas Ahmad DahlanIndonesia
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Akbar, Son Ali
, 
Fatma Nuraisyah

Fatma Nuraisyah

Public Health Science Study Program, Faculty of Public Health, Universitas Ahmad DahlanIndonesia
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Nuraisyah, Fatma
 e 
Ilham Mufandi

Ilham Mufandi

  • 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
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Mufandi, Ilham
  
03 ago 2023
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Categoria dell'articolo: Article
Pubblicato online: 03 ago 2023
Ricevuto: 15 ago 2022
DOI: https://doi.org/10.2478/ijssis-2023-0006
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© 2023 Anton Yudhana et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Lingua:
Inglese
Frequenza di pubblicazione:
1 volte all'anno
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