Displaying Health Status Based IoT

  • Muhammad Arief Azizi
  • Asnazulfadhli Zariman
  • Ismail Yusuf Panessai
  • Achmad Yani
Keywords: Health Status, Internet of Things, Pulse Rate

Abstract

Students have many activity in their daily life. There are many things to do like going to class, meeting for group assignment, shopping for food and so on. If the student is unwell then need to go to the clinic for treatment and leaving letter. So in order to reduce the risk of receiving illness, researchers propose Displaying Health Status Based on the Internet of Things Concept. This tool will help students by knowing the pulse rates is normal or not. Displaying Health Status Based on the Internet of Things is designed to facilitate students to see their pulse rate. This tool will also help students to develop their potential and facilitate the health of students themselves by knowing their pulse rate at the proper level. Students will always keep their health healthy for everyday life. Additionally, this tool can alert students that health is essential for life. The results of this research show that this tool can be used when exercising to determine the pulse rate is normal or not.

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Author Biographies

Muhammad Arief Azizi

Program of Computer Science, Department of Computing. Faculty of Arts, Computing and Creative Industry. Universiti Pendidikan Sultan Idris, Malaysia.

Asnazulfadhli Zariman

Program of Computer Science, Department of Computing. Faculty of Arts, Computing and Creative Industry. Universiti Pendidikan Sultan Idris, Malaysia.

Ismail Yusuf Panessai

Department of Computing, Faculty of Arts, Computing and Creative Industry, Universiti Pendidikan Sultan Idris, Malaysia.

Achmad Yani

Fakultas Teknik, Universitas Hasanuddin. Indonesia.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
        Views : 434
2020-03-18
    Downloads : 318
How to Cite
[1]
M. A. Azizi, A. Zariman, I. Y. Panessai, and A. Yani, “Displaying Health Status Based IoT ”, International Journal of Recent Technology and Applied Science, vol. 2, no. 1, pp. 25-35, Mar. 2020.
Section
Articles

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