Employee absenteeism application is an application that records the attendance of every employee in the company or agency. The development over time makes technology grow so rapidly, including application absenteeism, one of them absenteeism using facial recognition. In designing employee absence application data storage using oracle database. The app also runs with admin help. To perform absentee employees have to do face capture, where the face recognition using fisherface kernel method, which is web-based. Where employees who have not signed up can not absent, and have to absent through the admin that is with input training / face capture and fill in the employee name. At the time of the matching process (training), if the data is suitable then the defective employee is present where there is also data attendance that signifies the date and time information at the time of absence, and if during the training process data is not suitable then the employee declared failed in the absence process, This method is facial-oriented that is recognizable or unrecognized, after a comparison with the previous pattern stored in the database. Based on the results of functional tests performed the application is the success rate obtained as much as 40% and the results of the function test found that the test using a questionnaire and calculated using the likert scale method is 64.5%, it can be concluded that the test using questionnaires included in the criteria "Good" . Keywords: Absence, Fisherface, Facial recognition.