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The design of heaters and temperature controllers based on Arduino uno were successfully overlaid as candidate temperature controllers. The heater made from nickel winding with a diameter of 0.25 with a wire length of 5 m by utilizing eddy current as an induction heater. The temperature controller used is the LM35 temperature sensor circuit, power supply, and Arduino uno microcontroller, which is connected to serial communication so that the value can be displayed on a PC. The data generated in the study are voltage calibration data on temperature, heating, sensor performance data and delay (delay time). The percentage of sensor performance in this study was 99.76%, with a delay of 0.802 ± 0.006. Based on the results of the performance and design data analysis, it can be concluded that the Arduino uno-based heater design and temperature controller can be applied as a temperature controller as a candidate for temperature detection according to mouth conditions in humans.

Regular maintenance is one step to keep your car looking good, but many people still underestimate the importance of regular maintenance. A tool called Wireless Odometer has been created which can notify vehicle owners through the application if the vehicle mileage has entered the recommended criteria for periodic servicing. Based on previous research, Wireless Odometer still has weaknesses. sensor readings on this tool still have an error of 13.2% so it is still less accurate if applied to measure mileage on vehicles. It is necessary to have a digital filter that must be added to the sensor readings so that the sensor is resistant to noise that occurs due to mechanical or electrical. In this research, we implement the Moving Average Filter and Kalman Filter methods for sensor readings on the Wireless Odometer. After several tests were carried out, it was found that the percentage of reading errors when filtered reached 0.80% using the Kalman filter method and 1.81% using the Moving Average Filter method. It can be concluded that the filter that is suitable for use on this Wireless Odometer is the kalman filter.

Teachers of a secondary school in Semarang city are often exposed to blackboard chalk dust. This will give a significant impact if it occurs at a fairly frequent intensity and a long period of time. An automatic scratch detector and designing a device that can erase the blackboard is a preventive step that can reduce the long-term impact of chalk dust. The scratch detector uses a circle shape parameter as a mark of dirty position that needs to be erased. Light can affect the system performance. The system works properly at light intensities ranging from ± 160 to ± 200 lux. Testing the threshold value proves that the system can detect circles in the range of 40 - 55. The pixel size which is detected by the camera was 640x480 will allow the system to divide the blackboard into 9 mapping areas. The mapping area is differentiated into 9 sections so that the x and y coordinate positions of the blackboard dirty spot can be determined. A mechanical execution will erase the top and bottom areas according to the position of the detected mapping area. The success of scratch detector reaches 81.8%..

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