WATER INTAKE APPLET BASED ON HUMAN EXCREMENT

  • Nadine Swastika (1) Indonesia International Institute of Life Sciences
  • Winda Hasuki (2) Indonesia International Institute of Life Sciences
  • Sava Savero (3) Indonesia International Institute of Life Sciences
  • Putri Satya (4) Indonesia International Institute of Life Sciences
  • Arli Aditya Parikesit (5*) Indonesia International Institute for Life Sciences https://orcid.org/0000-0001-8716-3926

  • (*) Corresponding Author

Keywords: Water Intake, Dehydration, Color, Human Excrement

Abstract

In order to function properly the human body requires adequate hydration due to 70% of the human body being built up by water with lots of chemical reactions involved in order to work optimally throughout the day. This paper presents an idea to make a water intake app based on human excrement surveillance. It might be a solution to intensify people's ability to become self-conscious when drinking less water by surveying the excreted substance. Currently, available software that measures one indicator which is between urine and feces detector on how much water should the user drink. But actually, both excrement indicators are needed to detect users' drinking amount. If one of these indicators shows a bad result, it could lead to water intoxication or hydration. The application was created using Python to give feedback regarding the user's water intake based on the condition of their excreted substance.

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Author Biography

Arli Aditya Parikesit, Indonesia International Institute for Life Sciences

Department of Bioinformatics
School of Life Sciences
Indonesia International Institute for Life Sciences
Jl. Pulomas Barat Kav.88 Jakarta 13210
Indonesia

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Published
2021-03-01
How to Cite
Swastika, N., Hasuki, W., Savero, S., Satya, P., & Parikesit, A. (2021). WATER INTAKE APPLET BASED ON HUMAN EXCREMENT. Jurnal Riset Informatika, 3(2), 109-118. https://doi.org/10.34288/jri.v3i2.189
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