Detection of Students’ Interest With the Logistics Model

The focus of this research is to analyze the model that classifies student personality type based on demographic factors. This model can identify students' career interests. It is important to know students' career interest in accordance with their personalities. For the analysis method, the researchers applied multinomial logistics regression analysis with consideration to the nominal data scale of Holland's Personality Types, namely realistic, investigative, artistic, social, enterprising, and conventional. Based on the results of the analysis, it can be observed that demographic factors significantly influence the Holland's Personality Type at the error level 0.1 and the classification accuracy is 41.7%.