PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KONSENTRASI BIDANG KEAHLIAN MAHASISWA DENGAN INTEREST INVENTORY
DOI:
https://doi.org/10.15408/jti.v13i1.15710Keywords:
Interest, Decision Support System, FMADMAbstract
Universities are designed to prepare graduates who are ready to enter the workforce and are able to develop a professional attitude. Educational institutions such as the University need a form of decisions in determining the right concentration for students, so that the learning process can be achieved well. The decision is very influential on the process of handling the choice of alternative concentration, choosing an appropriate concentration of interest will also have an impact on the research focus for the final assignment of students. This research develops student concentration selection system in Electrical. Currently the concentration determination system is based only on academic assessment alone, regardless of student interest, so that it can impact on student learning outcomes. The system was developed by combining academic judgment and interest inventory with three criteria, ie, interest tests using interest inventory, prerequisite concentration course grades, and GPA. The system is built using an intelligent system model that is Fuzzy Multiple Attribute Decision Making (FMADM), which helps the Department in the selection process and helps the process of career guidance on students. With this selection system, the Department can be provide the most suitable concentration decisions with interest in student.
References
E. B. Hurlock, Developmental Psychology An Approach Throughout the Life Span, 5th ed. Jakarta: Erlangga, 1999.
Munandir, Program Bimbingan Karier di Sekolah. Jakarta: Dikti Depdikbud, 1996.
C. C. Vasilescu, A. Moraru, and N. I. Sava, “The Relationship between Career Interests and Academic Major: A Comparative Analysis,” Procedia - Soc. Behav. Sci., vol. 187, pp. 559–564, May 2015.
P. R. Subramaniam, “Motivational Effects of Interest on Student Engagement and Learning in Physical Education : A Review,” Int J Phys Educ., vol. 46, no. 2, pp. 11–20, 2009.
Belmawa Ristek Dikti, “Panduan Penyusunan Capaian Pembelajaran,” 2016. [Online]. Available: http://belmawa.ristekdikti.go.id/dev/wp-content/uploads/2015/11/6A-Panduan-Penyusunan-CP.pdf.
J. L. HOLLAND and R. C. NICHOLS, “Explorations of a Theory of Vocational Choice: III. A Longitudinal Study of Change in Major Field of Study,” Pers. Guid. J., vol. 43, no. 3, pp. 235–242, Nov. 1964.
F. N. Khasanah, A. E. Permanasari, and S. Suning Kusumawardani, “Fuzzy MADM for major selection at senior high school,” in 2015 2nd International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2015, pp. 41–45.
Y. MZ, “Sistem Pendukung Keputusan Konsentrasi dan Peminatan Prodi Teknik Informatika Universitas Janabadra Yogyakarta,” Creat. Inf. Technol. J., vol. 3, no. 4, p. 307, 2016.
