GLUSENT (Glucose Assistant): Sugar Monitoring System Smart Watch Based on Bioelectronics and Internet of Things to Prevent Diabetes Melitus in The 5.0 Society Era

Hanifatul  Umami; Gita Faroka; Fadhila  Isnahardiyanti; Nahrodi Muhlis; Rayfaldi Ananda  An-Naafi

doi:10.55927/ajns.v2i1.3266

Authors

Hanifatul Umami Universitas Negeri Semarang
Gita Faroka Universitas Negeri Semarang
Fadhila Isnahardiyanti Universitas Negeri Semarang
Nahrodi Muhlis Universitas Negeri Semarang
Rayfaldi Ananda An-Naafi Universitas Negeri Semarang

DOI:

https://doi.org/10.55927/ajns.v2i1.3266

Keywords:

Extraction, Phytochemical Screening, Cinnamon Bark

Abstract

Diabetics in Indonesia are ranked 5th in the world. According to the International Diabetes Federation (IDF), there were 10.7 million people with diabetes in Indonesia in 2019 and a rapid increase to 19.5 million in 2021. Most cases of diabetes are not diagnosed early, this is the basis for the importance of monitoring blood glucose periodically. Based on our study of people aged 20-40 years, most of them have never done regular glucose monitoring. Lack of public awareness of the dangers of diabetes and fear of needles are the reasons for not monitoring blood glucose. Therefore, an effective non-invasive self-monitoring of glucose levels is needed. The Glusen Smartwatch is a smartwatch that integrates bioelectronics and the Internet of Things (IoT) for monitoring glucose levels through sweat taken from the wrist. If the glucose level exceeds the normal limit, this smartwatch will notify the user through sounds, vibrations and lights on the smartwatch. This smartwatch also provides a solution if the user has glucose above the normal limit, such as telling users if they need to exercise regularly, reduce stress, and lead a healthy diet. The basic components of the Glusen Smartwatch include electrochemical sensors, flexible photovoltaic cells, flexible Zn-MnO₂ batteries, printed circuit board (PCB) and electronic ink (E-ink). The Glusen Smartwatch is expected to be a solution for continuous early glucose monitoring so as to reduce the number of diabetics in Indonesia. The advantages of this tool can be used independently and non-invasively.

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