Identification Of Higher Education Student’s Entrepreneurial Motivation Using Fuzzy C-Means Algorithm

Authors

  • Yayuk Chayatun Machsunah State University of Malang, Malang, East Java, Indonesia Author
  • I Nyoman S Degeng State University of Malang, Malang, East Java, Indonesia Author
  • Punadji Setyosari State University of Malang, Malang, East Java, Indonesia Author
  • Dedy Kuswandi State University of Malang, Malang, East Java, Indonesia Author

DOI:

https://doi.org/10.61841/ws2ynm69

Keywords:

Higher Education, Entrepreneurial Motivation, Fuzzy C-Means Algorithm

Abstract

The purpose of this research is to identify student entrepreneurial motivation in higher education using Fuzzy C-Means Algorithm. The entrepreneurial motivation was predicted based on the perception of the career attractiveness and feasibility level to start a business. The instrument uses a questionnaire consisting of two types of statements, fourteen statements of career attractiveness, and eleven statements of feasibility. This research used the Fuzzy C-Means algorithm to identify the entrepreneurial motivation into two categories, highly and lowlily motivated. Fuzzy C-Means algorithm is a data clustering method where each data into a cluster determined by the degree of membership. The Fuzzy C-Means algorithm is iterative and required ten iterations to converge onto a stable solution. The finding of this research is the Fuzzy C-Means algorithm able to identify higher education student’s entrepreneurial motivation. The number of students who low motivated is a very slight difference from students who high motivated. Entrepreneurial motivation is essential for students to open up opportunities to start a business in the future.

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Published

31.10.2020

Issue

Vol. 24 No. 8 (2020): 24 (8) 2020

Section

Articles

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How to Cite

Machsunah, Y. C., Degeng, I. N. S., Setyosari, P., & Kuswandi, D. (2020). Identification Of Higher Education Student’s Entrepreneurial Motivation Using Fuzzy C-Means Algorithm. International Journal of Psychosocial Rehabilitation, 24(8), 12424-12433. https://doi.org/10.61841/ws2ynm69