Publication Search

Stroke is the number one cause of disability and the second cause of death in the world. Blood flow that is not smooth in stroke patients causes hemodynamic disorders including changes in the value of oxygen saturation in the blood (SpO2) which can interfere with the function of internal organs including the heart due to lack of oxygen intake. So we need a system to monitor the oxygen saturation value which can be used as an early indicator in recognizing stroke patients. This system uses detection of two sensors to measure oxygen saturation in the blood, a microcontroller to process data, a monitor to display data, a buzzer as a warning of the lower limit of measurement and a micro sd card module to store measurement data that has been running. Parameters displayed include the date of measurement, patient ID, SpO2-1, SpO2-2, last SpO2-1 and last SpO2-2. This system will measure and display the SpO2 value of both right and left arms simultaneously. Stroke patients who experience muscle weakness in one hand may experience different values with a hand that does not experience muscle weakness. This study aims to develop an SpO2 monitoring system that will be used to detect stroke patients with non-invasive methods. The results show that the system has been developed and can be used to measure the patient's SpO2 from both hands simultaneously with a measurement error rate of ±2% for each sensor from standard medical equipment.

By looking at current technological developments that already use automatic sensors, the application of the concept to this system can be a solution for dealing with ornamental fish farming owners. In this research, a tool is made that can perform feeding, checking temperature, water turbidity, feed level, water level and water pump control, from this information will be sent to android by firebase automatically monitored and controlled anywhere via android. This tool is designed with ease of maintenance and is an extension of the existing tools. IoT technology is used to monitor online, based on Firebase and Nodemcu Esp8266. In this study, researchers used the research method of the Borg and Gall (1987) model from 10 steps to 6 steps. The results of this study were carried out by an expert validation test to get a value of 30 which means "Very Good (Valid)". While the effectiveness test by 10 users plus by experts and employee users get a total score of 35.16 which means the effectiveness test is classified as "Very Good (Valid)" it can be said that the new system is more effective than the old system.