Abstract
School data of certain school would continue to grow each year as the number of students. Those data are in the form of students’ personal data which include gender, Junior high school examination score, the distance of house, parental income, occupation of parents and high school score. It turns out that the abundant data can be used for viewing relation on each of the data thus it can be used by certain school as decision making on increasing the score of national exam. To see these linkages one of the way is the use of data mining techniques through association method. This study is looking for a link between personal data with National Examination score through case study in the MAN Karanganom Klaten by using the CT –Pro algorithm. The results of this study are male students tend to give high school national examination score between 60-70, female students with parents earning less than 500,000 got less than 50 score of this examination. On the other hand female students whom his parents work as farmers/ laborers give a higher score on the final examination between 70-80, and score of Junior High School National Examination does not affect the score of Senior High School Final Examination.
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