Abstract With Neural Network

This study aims to test and analyze the performance of the teacher as the output variable of the variables of school leadership, organizational communication and job satisfaction as input. Neural network is one of the artificial representation of the human brain that is used to simulate the learning process of the human brain. This term is used for the neural network was implemented using a computer program that is able to solve a number of calculations during the learning process. In this study will be conducted to determine the performance of teachers' performance configuration using neural network algorithm implemented on the results of field research data with teacher kuantitatf approach. The population in this study was a teacher of SMK Negeri 10 Semarang, amounting to 58 people. Results of testing by measuring the neural network algorithm using root mean squared error. By looking at the value of the root mean squared error (RMSE) as measured and compared with the linear regression algorithm, the neural network algorithm in the category of groups are very good prediction, because the value of the smallest RMSE honing.