Abstract:
The development of Internet of Things (IoT) technology has opened up great
opportunities in the development of real-time patient health monitoring systems
with the integration of vital sign sensors. This study aims to develop a patient health
monitoring and decision support system that combines IoT-based vital sign sensors
with the C4.5 method as a decision-making algorithm. This system is designed to
collect vital data such as heart rate, blood pressure, and body temperature
automatically through sensors connected to the ESP32 microcontroller. The data
obtained is then processed using the C4.5 method to provide recommendations for
patient health conditions accurately and quickly. The research methodology
includes the stages of system design, hardware and software development,
implementation, and testing in stages. Testing is carried out by running the program
on the prepared hardware, interacting with users through input buttons, and
displaying measurement results and analysis on the LCD screen. The test results
show that the system is able to operate stably, provide real-time vital sign data, and
produce decisions that are in accordance with the patient's health condition. This
system also has an easy-to-use interface that makes it easy for users to monitor and
make decisions.
The system implementation uses hardware such as ESP32, MAX30102 sensor for
heart rate and blood oxygen, MLX90614 sensor for body temperature, tensiometer
for blood pressure, push button as user input, and LCD as display media. The
software is developed using a programming environment that supports IoT
integration and the C4.5 algorithm. Data communication between sensors and
microcontrollers uses serial ports and I2C which are chosen because of their
reliability in real-time data transfer. The conclusion of this study is that the IoT
based monitoring and decision support system with the C4.5 method developed can
provide an effective solution in monitoring patient health conditions accurately and
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efficiently. This system is expected to be a reference for the development of IoT
based health technology in the future and provide real benefits in the medical world,
especially in remote patient monitoring and fast and precise clinical decision
making.
