Application of the fuzzy clusterwise generalized structured component method to evaluate implementation of national education standard in Indonesia

Budi, S.; Rezi, W.

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Management Science Letters

ISSN 1923-9343 (Online) - ISSN 1923-9335 (Print) Quarterly Publication Volume 11 Issue 4 pp. 1379-1384 , 2021

Application of the fuzzy clusterwise generalized structured component method to evaluate implementation of national education standard in Indonesia Pages 1379-1384 Download PDF

Authors: Susetyo Budi, Wahyuni Rezi

DOI: 10.5267/j.msl.2020.11.002

Keywords: FCGSCA, Heterogeneity Group, National Education Standards, National Examination

Abstract: Results of school accreditation and national examinations are two indicators that are often used to describe the achievement of quality in education in Indonesia. ‘Accreditation’ reflects the fulfillment of 8 national education standards (NES), while the national exam (NE, or UN in Bahasa) for students describes academic performance. Eight NES and academic performance are latent variables. The relationship between the two variables and the validity of its indicators can be evaluated by several methods. Path analysis with latent variables can be obtained through general structured component analysis (GSCA) with the assumption of homogeneity of variance. Since the data are not homogeneous, this study aims to apply the fuzzy clusterwise generalized structured component analysis (FCGSCA) to evaluate the relationship between the NES and the UN, and the validity of the indicators. The results showed that there were two school clusters in Indonesia. The evaluation of the measurement model indicated that some indicators of the accreditation instrument were not valid, i.e., 6 indicators in cluster 1 and 15 indicators in cluster 2. The structural model evaluation of the two clusters indicated that standard of process to the UN was not significant. Based on the overall goodness of the fit model, the total diversities of all variables that could be explained were 61.60% in cluster 1 and 59.90% in cluster 2.

How to cite this paper

 Budi, S & Rezi, W. (2021). Application of the fuzzy clusterwise generalized structured component method to evaluate implementation of national education standard in Indonesia.Management Science Letters , 11(4), 1379-1384.

Refrences

Bezdek, J. C. (1981). Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: al-gebra and statistics. Journal of Marketing Research, 18(3), 328-388.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate Data Analysis with Readings. Prentice-Hall International. Inc. Englewood Cliffs, New Jersey.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international mar-keting. Advances in International Marketing, 20, 277-319.
Hijrah, M., Susetyo, B., & Sartono, B. (2018). Structural equation modeling of national standard education of vocational high school using partial least square path modeling. International Journal of Scientific Research in Science Engineer-ing and Technology, 4(4), 1418-1422.
Hwang, H., DeSarbo, S. W., & Takane, Y. (2007). Fuzzy clusterwise generalized structured component analysis. Psycho-metrica, 72(2), 181-198.
Hwang, H., & Takane, Y. (2004). Generalized structured component analysis. Psychometrika, 69(1), 81-99.
Joreskog, K. G. (1970). A general method for analysis of cavariance structures. Biometrika, 57, 409-426.
Nunnally, J. C. (1978). Psychometric Theory Second Edition. McGraw-Hill, New York.
Rencher, A. C. (2002). Methods of Multivariate Analysis Second Edition. John Wiley and Sons, Inc. Publication, New Jer-sey.
Roubens, M. (1982). Fuzzy clustering algorithms and their cluster validity. European Journal of Operational Research, 10(3), 294-301.
Setiawan, A. I., Susetyo, B., & Fitrianto, A. (2018). Application of generalized structural component analysis to identify relation between accreditation and national assessment. International Journal of Scientific Research in Science Engi-neering and Technology, 4(10), 93-97.
Vita, F., Susetyo, B., & Indriyanto, B. (2015). Generalized structured component analysis for national education standards of secondary school in Indonesia. Global Journal of Pure and Applied Mathematics, 11(4), 2441-2449.
Wold, H. (1982). Soft Modeling: The Basic Design and Some Extensions. In Joreskog KG, Wold H. North-Holland, Am-sterdam.