The data mining is used with employee selection for the algorithm of Fuzzy c-means, Support vector machine. As the great growth of industrial side, many company are seeking for more and more employee, not only an ordinary and less-skilled employee, but to get well trained and fit best at their work easier without missing an opportunity to get a best employee. Also the objective of this study is to develop a decision making and evaluating system for employee recruitment using fussy analytic. The system will firstly, calculate the weight of pair wise comparison generated by administrator. Then, system will retrieve all data about the applicant. Every person has its own record in respective curriculum vitae. The system will retrieve only important data such as age, gender, education, work, experience, and desired salary. Then system will retrieve the condition of desired employee from human resource development department. Every single data on all participant is calculated as a number and the system will compare it with fuzzy analytical process (later on will abbreviated as APH) weight calculated from pair matrix and show a result. The result shows a form of rank, which shows the fittest applicant to the available job vacancy.