Pemodelan Akreditasi SMK di Provinsi Banten dengan Menggunakan Logika Fuzzy Metode Mamdani

  • Syamsuri Syamsuri Universitas Sultan Ageng Tirtayasa
  • Indiana Marethi Universitas Sultan Ageng Tirtayasa
Keywords: Accreditation of vocational schools; Modelling; Fuzzy logic; Mamdani method

Abstract

This article aims to describe an accreditation model of vocational schools in Banten province that accredited for 2009-2011 using method of Mamdani of fuzzy logic. The data used were obtained from Banten Accreditation Board for Schools/Madrasah (BAP-S/M), 275 expertise in vocational programs are accredited by the BAP-S/M Banten during 2009-2011. In the accreditation model using fuzzy logic assumes that: (1) there are strong correlation among content standards, process standards, competency standards, and assessment standards, so that we use score of process standards in modelling, (2) Standard educators and staff, as well as management standard strongly correlated, so that we choose educators, and (3) standards of infrastructure and financing have strong correlation, so that only one representing one standard, namely : standard of infrastructure. The model can be used in predicting the outcome of a vocational accreditation by just looking scores from the process standard, educators standard, and infrastructures standard. The resulting models have about 68% accuracy rate.

Downloads

Download data is not yet available.

References

BAN-SM. Kebijakan Akreditasi Sekolah/ Madrasah. Badan Akreditasi Nasional Sekolah/Madrasah. (2009).

Patil, A & Codner, G. Accreditation of engineering education: review, observations and proposal for global accreditation, European Journal of Engineering Education 32(6) (2007) 639-651.

Dongcheng Hu. Use of the DAETE model in evaluating continuing education institutions in China, International Journal of Continuing Education & Lifelong Learning. 2 (2) (2010) 1-10.

Jörg, Ton. Thinking in Complexity about Learning and Education: A Programmatic View, An International Journal of Complexity & Education 6 (1) (2009) 1-22.

Nykänen, O. Inducing Fuzzy Models for Student Classification, Journal of Educational Technology & Society 9 (2) (2006) 223-234.

Wang, Li-Xin. A Course in Fuzzy Systems and Control. Prentice-Hall International, Inc. (1997).

Published
2018-05-11
Section
Articles