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Vol.8, No.2, May 2019. ISSN: 2217-8309 eISSN: 2217-8333
TEM Journal
TECHNOLOGY, EDUCATION, MANAGEMENT, INFORMATICS Association for Information Communication Technology Education and Science |
Detection of Students’ Interest With the Logistics Model
Andhita Dessy Wulansari, Kumaidi, Samsul Hadi, Minhayati Saleh, Friyatmi
© 2019 Andhita Dessy Wulansari, published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)
Citation Information: TEM Journal. Volume 8, Issue 2, Pages 564-571, ISSN 2217-8309, DOI: 10.18421/TEM82-32, May 2019.
Received: 10 March 2019.
Abstract:
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%.
Keywords –Interest, Career, Holland Theory, Personality Typology, Logistics Model. |
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