A Decision Making and Clustering Method Integration based on the Theory of Planned Behavior for Student Entrepreneurial Potential Mapping in Indonesia.

Autor: Rijati, Nova, Purwitasari, Diana, Sumpeno, Surya, Purnomo, Mauridhi Hery
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Zdroj: International Journal of Intelligent Engineering & Systems; 2020, Vol. 13 Issue 4, p129-144, 16p
Abstrakt: One of the Indonesia Government strategies in the human resources field is preparing peoples such that they can create new jobs. In the higher education level, all universities in Indonesia are encouraged to be able to produce young entrepreneurs from among students. However, not all of the students have the same entrepreneurial potential. The university management needs to map the students to be prepared as the prospective entrepreneurs. This study is proposed to reveal the hidden knowledge of student entrepreneurial potential mapping from the higher education database. The integration of the decision making model and clustering method based on the theory of planned behavior is utilized to achieve this objective. The fuzzy multi-attribute method is applied in the decision making approach. Whereas, the k-means clustering is selected to generate the group of student entrepreneurial potency as the entrepreneurial potential mapping. Experimental results show that there are four identified clusters to present the student entrepreneurial potential levels. The first cluster consists of the students who have medium and high potential levels of 68% and 32%, respectively. The second cluster consists of the students who have medium, high and very high potential levels of 19%, 69%, and 12%, respectively. The third cluster consists of the students who have high and very high potential levels of 50% and 50%, respectively. While the fourth cluster consists of the students who have medium and high potential levels of 18% and 82%, respectively. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index