OPTIMIZATION OF GIVING EMPLOYEE CRAFT ASSESSMENT USING ARTIFICIAL NEURAL NETWORK WITH HEBB ALGORITHM

One of the most important things in human resource management is employee discipline that can be seen in employee presence. It is very important for companies to set up employee attendance systems properly. In general, benefits - allowances are always associated with employee precession data, so that the results of the calculations became accurate and balanced with employee performance. As is the case with craft benefits, this craft allowance is held for companies to improve employee discipline, especially in presence or presence. Based on the background of the above problems, a problem can be formulated, namely the determination of the model in the process of determining the recipients of employee craft benefits so that the monthly income is optimal and significant. Based on the problem, the authors are interested in redeveloping the final project with the optimization of giving employee craft assessment using the hebb rule neural network method.