Corona, which is a phenomenon that occurs when the air around the conductor is ionized can occur in a 20 kV cubicle and damage the equipment. To prevent this occurrence, the air condition inside the cubicle need to be controlled at a safe level. In this study, we maintain an ideal air condition with Arduino-based humidity and temperature control system using ATMEGA328 microcontroller. This system was installed in the 20 kV cubicle at Lokomboro Micro Hydro Power Plant and then tested for performance. From the test result it was found that the system was able to control the humidity and temperature inside the cubicle at 45 % and 26 0C, respectively. By controlling humidity and temperature values at ideal condition, the corona appearance that damage the equipment has been prevented. This installation showed operational, financial, and company image benefit for PT. PLN since it has prevented loss due to damage of equipment and also maintained electrical power reliability.

Metals generally deteriorate with chemical attacks and reaction with environments. This paper investigates the effect of grape fruit extract on the corrosion of mild steel using weight loss and thermometric measurements. The concentration of the inhibitors used was varied from 0.1g/s to 0.5g/s in acidic medium. Standard concentrated HCl acid with density of 1.18g/cm3 and a percentage purity of 35% with a molar mass of 35.5g was used. The results shows that the corrosion rates obtained decreased with addition of different of concentrations of inhibitor with the lowest values were obtained at addition of highest concentration (0.5 g/l) of the studied extract. It could be observed that the temperature fluctuates with time and reach the peak at approximately 360 min and then decreased. The reason for this can be attributed to increase in blocking of free movement of corrosion product (Fe2+) by the adsorption of the inhibitor, thereby reducing the creation of more ions and its precipitates with increase in time. The weight loss of mild steel increased as the exposure time increases in the absence and presence of inhibitor. The higher the concentration of inhibition, the lower the corrosion rate and grape fruit juice is a good inhibitor of corrosion.

Elderly persons and patients with chronic illnesses are mostly affected by the pandemic disease Covid which also claims lives. It has terrible implications on daily living, public health, and the global economy. Finding positive examples as soon as feasible is difficult. There are only a certain amount of covid test kits available because of the daily rise in cases. Implementing an autonomous detection system as a speedy alternative diagnosis option is essential to stopping the future spread of this epidemic and to treating afflicted persons as soon as possible. Combining radiological imaging with the use of cutting-edge AI tools can be beneficial for the precise diagnosis of this illness and can also help distant areas who lack expert medical care to find a solution. In this project, we have used double deep neural networks to develop an automatic detection of Covid (Convolutional-Neural-Network model, VGG-16 model). Covid chest X-rays will be used as the history data. It will be determined whether the chestX-ray image is covid positive or covid negative.