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Identification of personality types is one of the activities commonly carried out by organizations to select human resources (HR). The personality type is adjusted to the job description that must be done by the selected individual. Maximum individual performance is the reason why personality tests are needed by organizations. The personality test method commonly used is to get a response in the form of a written answer from a questionnaire. Another method is proposed which takes into account individual facial expressions. Both methods use an iterative process to achieve consistency in individual responses. The repetition process is carried out with a limited frequency and the implementation takes a long time. This limited frequency has the potential to cause errors in inferring personality types. Inconsistent responses from individuals identified with personality types make the reliability level of personality tests less than optimal. Reliability that is not optimal can have a negative impact on decision-making in the selection of selected human resources. Based on these problems, this study proposes the use of electroencephalography (EEG) to confirm individual personality types. The EEG used is a stimulated wave because the individual sees a visual form known as Visual Evoked Potential (VEP). Visual stimulus is the user interface design of a job support application. The stimulus is generated with a lot of frequency so that it can be relied on in knowing the consistent response. It is hoped that the recorded VEP pattern will reach a very good permanent level. An excellent permanent VEP rate can be determined by comparing between recording sessions. The permanent level of the VEP becomes the actual individual VEP. VEP comparisons between individuals will be compared for the classification process. The resulting classification is expected to show that individual VEP corresponds to each individual's personality type from the results of personality tests carried out by conventional methods.
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