A prototype of a wind power plant had been created using a ventilator as a generator spiner. This power plant utilizes wind speed as its propulsion. Electricity generated in the DC voltage form between 0 volts up to 7.46 volts. The MT3608 module is used to stabilize and raise the voltage installed in the input and output of the charging circuit. For instrument testing, the wind speed on 0 m/s up to 6 m/s interval used. Maximum output of this tool with a wind speed of 6 m/s is 7.46 volts.
The DS18B20 sensor calibration has been conducted using a fluke hart with a temperature chamber at the center for meteorology, climatology, and geophysics region III Denpasar. The calibration process is done by stabilizing the temperature in the chamber, then the temperature on the DS18B20 sensor and the standard thermometer in the chamber are read and compared. The setpoints used were 10 oC, 20 oC, 30 oC and 40 oC each set point was read four times. The results of the calculation of the standard deviation at each setpoint are 0,39 oC, 0,12 oC, 0,00 oC, 0,00 oC and the results of the uncertainty for each setpoint are 0,65 oC, 0,20 oC, 0,18 oC, 0,18 oC. The results of the DS18B20 sensor calibration using a fluke hart with a temperature chamber obtained the highest standard deviation value of 0,39 oC and the highest uncertainty value was 0,65 oC. This value indicates that the DS18B20 sensor calibrated with a standard tool at the 10 oC set point has not met the standard value applied by WMO, which is ±0.3 oC.
It has been successfully made a soil pH measuring instrument using pH meter sensor module V1.1 SEN0161 based Arduino Uno. The pH result is measured through the output of the pH meter sensor output value read by the 16-bit ADC. Measurement results are displayed on a 2x16 LCD. The results of calibration test tools performed against standard measuring instruments obtained regression equation y = 0.0012x - 4.0768 with x is the output of sensor output value with accuracy level includes an average deviation of 0.13 and tool precision value of 97.98%. The results of calibration test tools carried out show the measuring instruments made have a good validity (accuracy and precision).
Akan dibuat prototype alat lux meter digital berbasis sensor cahaya EL7900. Dengan menggunakan mikrokontroller R8C/13 sebagai unit proses dan tampilan hasil proses pada LCD. Unjuk kerja alat telah menunjukkan bahwa ada hubungan linier antara kebenaran tegangan output sensor dengan intensitas yang di tampilkan pada LCD. Kebenaran alat ini telah di kalibrasi dengan alat lux meter standar Hioki 3422 dan data menunjukkan bahwa intensitas yang di hasilkan oleh lux meter digital EL7900 berada pada range standar deviasi intensitas lux meter standar dengan kesalahan rata - rata sebesar 0,49 %. Serta sensitivitas sensor EL7900 terletak pada daerah warna kuning.
Aims: To produce low-cost Radiosonde instruments with high accuracy, which are expected to be used as a reference in developing upper aerial observation instruments so as to reduce observation costs Study Design: Design of Radiosonde Based on Arduino Pro Mini Using BME280 Sensor. Place and Duration of Study: Department of Physics, Udayana University, and Indonesian Agency of Meteorology, Climatology, and Geophysics (BMKG), Region-III Badung, between June 2022 and August 2022. Methodology: Calibration is done by comparing the output value of the BME280 sensor and the BMKG calibration standard tool. The calibrated parameters are temperature, humidity, and air pressure. The relationship between the measurement value of the design tool and the standard tool is determined by the linear regression method to obtain the correction equation. Results: Radiosonde instruments based on Arduino Pro Mini using the BME280 sensor have been produced. The measurement accuracy obtained for the temperature parameter is 99.9968% with uncertainty (U95) of ±0.18ºC, the humidity parameter is 99.296% with uncertainty (U95) of ±2.9%RH, the air pressure parameter is 99.99998% with uncertainty (U95) of ±0.15 hPa. The accuracy value indicates that the resulting tool has a good level of accuracy to the standard tool. Conclusion: In this research, has been produced a Radiosonde instruments at a low-cost with high accuracy and precision, which have been calibrated with BMKG standard tools.
Objective: Evaluating the diagnostic performance of SVM to classify benign and malignant by performing a meta-analysis. Methods: The data used for this study were secondary data. It consisted of 221 mammogram images (mean age 57.5 years) with 164 malignant and 57 benign, taken from a radiological database that has been examined by a radiologist with more than 20 years of experience. Also, histopathological record data that had been examined by an oncologist with more than 20 years of experience. Mammograms were taken from January 2022 to June 2022. In all, 221 mammograms consisting of 164 malignant and 57 benign were used as SVM method training, and 20 mammograms consisting of 10 malignant and 10 benign were used to test the performance of the SVM method. It was then evaluated using pathology results as the gold standard. Results: Benign had a significantly lower deviation (an average of 29.2661230 ± 10.14916673) than malignant (an average of 33.1841234 ± 11.70238757). The SVM method performance value obtained the values of TP, FP, TN, FN, accuracy, sensitivity, Specificity, and Precision, respectively 7,7, 3, 3, 50%, 70%, 30%, and 50%. Conclusion: A proper performance to distinguish benign and malignant can be obtained using the physical deviation parameters with the SVM classification approach. However, these findings should be proven in larger datasets with different mammographic scanners. Our meta-analysis shows that the physical parameters and SVM have high sensitivity but low specificity. Of the nine physical parameters in the mammogram, only the parameter deviation was significant to distinguish between benign and malignant. The SVM method proved to be able to differentiate between benign and malignant.
The power plant has been created with turbine ventilator as a source of electrical energy for lighting. Voltage generator generated when wind speed between 0 m/s up to 6 m/s with no given load is between 0 volts up to 8.38 volts. Generator-generated electricity can be utilized in everyday life after going through several processes like converting the voltage from DC to AC by using a DC to AC inverter and increasing the AC voltage to a 220-volt voltage using a transformer. In this study using 5 watts LED lamp that can be used to help to light.
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