monitoring kesehatan pasien menggunakan wemos d1 mini web server berbasis iot

The internet of things (IoT) can make it easier to carry out human activities
in the process of Monitoring patient health. This study applies IoT technology to
the Patient Health Monitoring tool using the IoT-Based Wemos D1 Mini Web
Server. This tool uses a Wemos D1 Mini as a microcontroller, an LM35 sensor as
a body temperature detector, a MAX30100 sensor as a heart rate detector and
blood oxygen saturation, and a DHT22 sensor as a room temperature and humidity
detector. The results of sensor readings on this tool will be displayed on the web
server. In testing this tool using 3 different patients for testing the LM35 sensor as
a body temperature detector and the MAX30100 as a heart rate detector and blood
oxygen saturation. In testing the LM35 sensor the average error generated is 0.95%
with the lowest error value of 0.22% and the highest error value of 1.44%. While
in the MAX30100 sensor test the average error generated is 1.36% with the lowest
error value of 1.03% and the highest error value of 2.04%. In testing the DHT22
sensor using 3 different time ranges. The average error in the DHT22 sensor test is
38.9% with the lowest error value of 33.5% and the highest of 43.8%. With this
tool, it is hoped that it can be used to make it easier to monitor patient health.