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Objective: a comparative study for effect of intelligence, stress and emotion on student learning in area department of students Sari Mulia School of Health Sciences. Technology or Method: This research uses the Experimental method, analyzed data by grouping the existing data based on emotional intelligence, stress level and achievement index as student learning, data analysis using classification and clustering model. Result: the result of research in this study is a comparative study k-means cluster and nearest neighbor algorithm to produce 3 groups of students based on emotional intelligence, stress level and achievement index. Conclusion: From the comparison result in this research is to know whether student learning data can be used classification and clustering model, comparative study k-means cluster and nearest neighbor algorithm. The best algorithm can use k-means cluster.

A Comparative Study Of Classification And Clustering Model: The Effect Of Intelligence, Stress And Emotion On Student Learning