@inproceedings{dae99b85143f4180b3511ab39700101c,
title = "IoT Based Monitoring for Laser Spectroscopy Non-invasive Urine Glucose Detection",
abstract = "The design and development of a portable non-invasive Internet-based urine glucose detection and monitoring system is described in this paper. In this study using a sensor approach by utilizing the process of absorption of laser light by the spectroscopic method. The developed instrument can measure urine glucose levels quantitatively and is able to show the results of diabetes mellitus or normal detection based on the results of measuring urine glucose levels. This study aims to develop a monitoring system to display data sent from sensors using the ESP8266 Wi-Fi Module that can be connected to a smartphone. The data received by the smartphone is displayed via the application internet of thinks web API called Blynk Apps to collect and display data. The test was conducted to show the response of the glucose level variable detected by the instrument to the variable displayed on the smartphone display. From testing, it is proven that this IoT-based urine glucose detection system is reliable because it has a high precision value. This system can help the user to monitor the glucose level data remotely.",
keywords = "IoT, Laser, Non-invasive Urine Glucose Detection, Spectroscopy",
author = "Yunardi, {Riky Tri} and Firdaus, {Aji Akbar} and {Nur Nahdliyah}, {Sisca Dina}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022 ; Conference date: 23-09-2022",
year = "2022",
doi = "10.1109/ICTIIA54654.2022.9935845",
language = "English",
series = "Proceedings - 2022 1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "Proceedings - 2022 1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022",
address = "United States",
}
