Blood pressure monitor (BPM) using oscillometric method with MPX5050GP pressure sensor has been successfully fabricated and calibrated. Oscillometric method is measurement method to observe cuff pressure oscillations. In this study, the oscillometric waveform measured by fabricated BPM used Arduino Uno which processes pulse rate, systolic and diastolic pressures. Measurement results of pulse rate, systolic and diastolic pressures will be displayed and recorded in application designed using Visual C# 2010 Express. Fabricated BPM capable of measuring pulse rate and blood pressure in the range of 40-260 mmHg with ratio of systolic and diastolic pressures were achieved 0.48 and 0.78, respectively. The system has an average error of systolic pressure, diastolic pressure, and pulse rate were-4.38 mmHg (2.72%), 0.10 mmHg (5,55%), and 4.48 bpm (6.07%).
Electrospinning is a method for making nanofibers by utilizing an electric field produced by high voltage. Electrospinning process is influenced by several factors including the concentration of the solution, conductivity, viscosity, volatility, surface tension, electric field strength between the needle and the collector, feed / flow rate and environmental conditions which include temperature, humidity and air composition. Electrospinning parameters are used to optimize the size of the nanofiber, concentration of the solution and the distance of the nozzle to collector. In the process of electrospinning PVA solutions that are handled by high dc voltage gets an electrostatic force and electric field. The solution will elongate to form a Taylor cone, then a jet of polymer will undergo thinning and evaporation to form fibers in the collector. The results of morphological analysis using scanning electron microscopy (SEM) showed that the smallest nanofiber was obtained at a solution concentration of 5%, dc high voltage10 kV, and the distance of the nozzle to collector was 15 cms.
Teachers should be able to develop a learning tools that can improve the students’s ability to build knowledge and formulate their own concepts in the learning process. One of learning models that can support these purpose is learning based contructivism approach using learning cycle 5 E model. The type of research is research and development using 4-D model consist of define, design, development and disseminate. The research instrument used was a questionnaire (RPP validation, validation module, validation worksheets, assessment and response validation teacher) and RPP feasibility sheet. The data analysis technique used is descriptive statistics to obtain an average value and the percentage of the validity and practicality of learning tools. Based on the analytical validation of data is known that the developed learning tools considered valid. Based on the data analysis of the test results is known that the learning tools developed practical and effective category. From these results it can be concluded that the learning tools of physics based contructivism approach using learning cycle 5 E model at class XI TITL SMK Negeri 1 Rao Selatan developed are valid, practical and effective and it can enhance student competence.
Monitoring and controlling of the greenhouse climate are carried out so that the climate in the greenhouse is in accordance with the growth requirements of the chili plants in it. Automation is carried out using a humidifier, plant watering can, space heater, and fan. Microclimates that are controlled include soil humidity, temperature, and humidity. The actuator is connected to the SHT11 sensor and soil moisture sensor. The sensor is connected to the Arduino Uno so that it can give commands to the actuator. Then the ESP-01 wifi module is connected to the Arduino Uno so that the sensor reading data will be sent to the Thingspeak database to be monitored. The results of this study are humidity and temperature data before and after automation. The data after automation shows the values that match the growing requirements of chilies, namely air temperature of 20°C to 30°C, humidity of 60% to 80% and soil moisture> 50%. Monitoring of microclimate conditions in the greenhouse can be done through the Thingview Free application on android which is limited to 8 graphs in real time. Microclimate control using several actuators in the greenhouse shows that the greenhouse automation system is already running according to the microclimate conditions required by chili plants.
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