Good physical fitness is necessary for everyone. The body's ability to carry out daily activities without experiencing excessive fatigue is known as good physical fitness. The aim of the research was to determine and assess the level of physical fitness of 14 year old Iguana Kickers Club football school students in Batu City. The quantitative descriptive survey method was used in this research. In this research, 14 year old Iguana Kickers Club football school students from Batu City were the subjects. By using the Indonesian Physical Fitness Test instrument for ages 13-15 years and observation as a non-test instrument. Data analysis uses descriptive statistics. The research results showed that of the 28 students surveyed, 2 students with a percentage of 7.14% were in the very good criteria, 4 students with a percentage of 14.28% were in the good criteria, 15 students with a percentage of 53.57% were in the medium criteria, 3 students with a percentage of 10.71% fall into the poor criteria, and 4 students with a percentage of 14.28% fall into the very poor criteria. Based on the research results, it shows that the 14 year old Iguana Kickers Club Batu City students have a moderate level of physical fitness. It is hoped that this research will make students more aware of the importance of maintaining fitness and encourage them to become better.

Coffee price forecasting has a significant role in preventing price fluctuations at a time. Therefore, a method is needed that can be used to forecast the price of coffee. This study discusses the analysis of coffee price forecasting using the Recurrent Neural Network – Long Short-Term Memory (RNN – LSTM) method. This study will be determined the best LSTM model that aims to get the results of forecasting the price of London robusta coffee with the smallest  Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) values. Using the LSTM model with units of 128 and dropouts of 0.1, forecasting the price of London robusta coffee has an RMSE value of 1,303 and MAPE of 3.53%. Therefore, the LSTM model can indicate the cost of London robusta coffee with an accuracy rate of 96.47%. 

The demand for electrical energy continues to increase along with the increase in economic growth in Indonesia, where currently almost all equipment used by humans depends on electrical energy. The steam power generation system is one of the power generation systems that are commonly used in industries and other power plants. In general, a steam power generation system consists of several main components, namely: pumps, steam turbines, boilers, generators and condensers. Boilers are composed of several components such as pipes, chimneys,   superheaters, steam drums, economizers, and other important components. One of the most important components in the boiler system is the boiler pipe which plays a role in helping the combustion process to be used in the boiler. Loss of boiler pipe thickness due to corrosion is one of the important factors that really need to be considered in the boiler combustion process at PLTU. Loss of thickness of the boiler pipe in the combustion process that is too large can cause pipe leakage which results in the interruption of the combustion process in the boiler pipe. So to overcome this problem, checks are carried out to carry out maintenance on the boiler pipe to avoid leaks in the boiler pipe. After the calculation, the average reduction in pipe thickness due to corrosion is 0.1465 mm/yr