Data Mining Classification of Intelligence Quotient in High School Students

Suryani, Des and Labellapansa, Ause and Wulandari, Setia and Hidayat, Ahmad Data Mining Classification of Intelligence Quotient in High School Students. ICIC.

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Abstract

An educational institution of “SMA Negeri 1 Padang” has been conducting psychological tests using the Intelligenz Structure Test (IST) in determining the classification of Intelligence Quotient (IQ) of their own students high school. Up to this day classification process of student IQs has been handled manually by psychologists and took an average of 15 days. This study applies data mining study which is a series of processes of getting knowledge or pattern from data set using method of classification that is C4.5 algorithm, which is useful to simplify and save time for psychologists. This study consisted of 10 criteria involving 270 data and resulted in output in the form of four kinds of student’IQ classification consisting of very superior, superior, above average and average categories. Based on the test results classification of student IQs is obtained as 84% .

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