Respiratory failure (apnea) often occurs in premature babies, this should be avoided because it causes low oxygen concentrations in the blood so that it can damage brain function and lead to death. Apnea is characterized by a decrease in oxygen saturation (SpO2). The purpose of this study was to design an apnea monitor that was detected with SpO2 parameters, alarms, and vibrating stimulation. This study uses infrared and red LEDs that emit light through the surface of the finger and is detected by a photodiode sensor, this light signal will be converted into an electrical signal and calculated by Arduino to determine the patient's SpO2 and BPM values. If the SpO2 value drops 5% within 5 seconds from the baseline, the device will indicate apnea has occurred and the vibrating motor is working. SpO2 signals and alarms are sent to the nurse station computer via Bluetooth HC-05. The instrument was calibrated with an SpO2 calibrator and the measurement results were compared with a BION pulse oximetry brand. The results of the instrument measurement on two subjects on the SpO2 parameter showed an error value of 2% and the BPM parameter obtained an error value of 4.54%. Testing the BPM parameter using a calibrator at the 30 and 60 BPM settings shows an error value of 0% and at the 120 BPM setting the error value is 0.01%. The vibrating motor to stimulate the baby's body when apnea occurs is functioning properly. The results showed that measurements using subjects tended to have high error values ​​due to several factors. This research can be implemented on patient monitors to improve patient safety and reduce the workload of nurses or doctors

No abstract

Infusion devices are the basis for primary health care, that is to provide medicine, nutrition, and hydration to patients. One of the infusion devices is a syringe pump and an infusion pump. This device is very important to assist the volume and flow that enters the patient's body, especially in situations related to neonatology or cancer treatment. Therefore, a comparison tool is needed to see whether the equipment is used or not. The purpose of this research is to make an infusion device analyzer (IDA) design with a flow rate parameter. The contribution of this research is that the tool can calculate the correct value of the flow rate that comes out of the infusion pump and syringe pump. The water released by the infusion pump or syringe pump will be converted into droplets which are then detected by the sensor. This tool uses an infrared sensor and a photodiode. The results obtained by the sensor will come by Arduino nano and code it to the 16x2 Character Liquid Crystal Display (LCD) and can be stored on an SD Card so that it can be analyzed further. In setting the flow rate for the syringe pump of 100 mL / hour, the error value is 3.9, 50 ml / hour 0.02, 20 mL / hour 0.378, 10 mL / hour 0.048, and 5 mL / hour 0.01. The results show that the average error of the syringe pump performance read by the module is 0.87. The results obtained from this study can be implemented for the calibration of the infusion pump and the syringe pump so that it can be determined whether the device is suitable or not

<p><em>Sensor pengukuran kecepatan putaran motor adalah alat yang digunakan di sebagian besar mesin-mesin industri yang bekerja berdasarkan perputaran motor untuk memonitoring kecepatan motor tersebut. Dimana salah satu sensor yang digunakan dalam pengukuran kecepatan motor adalah sensor optocoupler. Informasi tentang laju perputaran motor diperlukan oleh seorang operator untuk mengontrol dan mengatur laju putaran motor sesuai dengan yang diharapkan. Pada proyek akhir ini digunakan optocoupler sebagai sensor pengukur kecepatan putaran motor dan potensiometer digunakan sebagai pengontrol kecepatan motor. Dari pengontrolan dan pembacaan pulsa optocoupler data diolah di mikrokontroler setelah itu data dikirim dan ditampilkan di LCD dalam satuan RPM (Rotation Per Minute). Dari hasil pengujian yang telah dilakukan Tingkat keakurasian hasil pembacaan didapatkan dalam kondisi hampir mendekati kecepatan maksimum dan pada saat kecepatan maksimum. Dimana pada motor 1 kecepatan putaran maksimalnya 250 RPM dimana error yang didapat 4 % serta dan motor 2 kecepatan maksimalnya 180 RPM dimana error yang didapat 2,97 %.</em></p>

No abstract

Babies need temperatures that match the temperature of the mother's womb, which is between 35°C – 37°C. The latest research on infant warmer device used fuzzy method as a system for controlling temperature in infant warmers. The problem raised in the previous research is that the temperature was not evenly distributed throughout the bed at each predetermined temperature setting. When it reached the setting temperature, the warmer continued to turn on so that the bed got hotter. Therefore, the purpose of the current research is to make an infant warmer device equipped with digital scales with a temperature setting of 350C- 370C using PID control to stabilize the temperature and ensure that the heat is evenly distributed on the bed. In addition, skin temperature is also added, allowing the nurses know at which level of patient's body temperature is when observations should be made. The infant warmer in this module used an arduino microcontroller which is displayed in 7 segments, the skin sensor used is the DS18B20 temperature sensor to read the skin temperature, while the infant warmer temperature sensor used is LM35 as a PID control system. The results of the current research in making the device module were compared with the measurement results of the comparator. It was revealed that current research has obtained smallest error of 0% in temperature setting of 350C. For the comparison with the incu analyzer, the smallest error was obtained at the temperature setting of 370C with an error value of 0% on the T5 measurement. Meanwhile, the difference in skin temperature against the thermometer is 0.10C. The results showed that the temperature distributed on the module had different error values. Hence, this research can be implemented on the PID control of infant warmer system to improve the performance of infant temperature stability.

No abstract

A temperature measurement in sterilization is needed to find out whether the temperature setting has been reached, because if the tool is operated continuously it will have an impact on the performance of the tool. Data logger is a tool used to record time and temperature by recording. The purpose of this research is to develop technological advances with remote or automated systems that can monitor changes in temperature rise and fall. This study uses 9 types of K-type thermocouple sensors as temperature gauges which are placed at 9 specified points. A thermocouple is connected to the MAX6675 module for conversion which initially detects temperature into digital form data. Data processing uses the Arduino Mega 2560 system and the Arduino programming software processor. HC-05 is used as a data transmission of measured results that have been read where the results are displayed on Android using the Blynk application, the data sent will be in the form of Excel. This tool uses a temperature comparison from the MEMMERT UN 55 incubator in the microbiology laboratory. The error value contained in the 100°C temperature adjustment is 2.6% at a temperature of 1, the smallest error at temperatures 7 and 8 is 0.2% due  to the location of the sensor far from the heater. The error value at a temperature of 150°C is 1.7%, the smallest error at temperature 5 is 0.3%, 0.5%. The error value at a temperature of 200°C is 1.8%, the smallest error at temperature 0.5%. This research is expected to make it easier for users to simultaneously monitor temperature and simplify data processing to obtain an accuracy error value in the unit under test (UUT).