ANALISIS BIPLOT KOMPONEN UTAMA UNTUK PEMETAAN DAYA SAING GLOBAL NEGARA ANGGOTA APEC
Rosita Kusumawati, Universitas Negeri Yogyakarta
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Adamkiewicz, H. G. (2019). The dimensions of national competitiveness: The empirical analysis based on The World Economic Forum’s data. Economics and Business Review, 5(3), 92–117. https://doi.org/10.18559/ebr.2019.3.6
Bartlett, M. S. (1950). Tests of significance in factor analysis. British Journal of Statistical Psychology, 3(2), 77–85. https://doi.org/10.1111/j.2044-8317.1950.tb00285.x
Doukovska, L., Atanassova, V., & Sotirova, E. (2019). European union member states’ performance in the 2018 global competitiveness index 4.0 through the prism of intercriteria analysis. Proceedings of the 4th International Conference on Numerical and Symbolic Computation Developments and Applications.
Fritz, M., Behringer, M., & Schwarz, H. (2020). LOG-means: efficiently estimating the number of clusters in large datasets. Proceedings of the VLDB Endowment, 13(11), 2118–2131. https://doi.org/10.14778/3407790.3407813
Gabriel, K. R. (1971). The biplot graphic display of matrices with application to principal component analysis. Biometrika, 58(3), 453–467. https://doi.org/10.1093/biomet/58.3.453
Greenacre, M. (2010). Biplots in practice. Bilbao: BBVA Foundation.
Hasan, M. K., & Yan-chun, C. (2020). Empirical study on the comparison of regional competitiveness of Asian Countries in perspective of global competitiveness index. North American Academic Research, 3(7), 33–56. https://doi.org/10.5281/zenodo.3930242
Johnson, R., & Wichern, D. (2007). Applied multivariate statistical analysis (6th ed.). Pearson Prentice Hall.
Jolliffe, I. T. (2002). Principal components analysis. Springer-Verlag.
Kaiser, H. F. (1960). The application of electronic computers to factor analysis. Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
Kaiser, H. F., & Rice, J. (1974). Little jiffy, mark iv. Educational and Psychological Measurement, 34(1), 111–117. https://doi.org/10.1177/001316447403400115
Kristiana, L., Andarwati, P., Paramita, A., Maryani, H., & Izza, N. (2020). Posisi relatif provinsi di Indonesia berdasarkan penggunaan pengobatan tradisional: Analisis komponen utama biplot. Buletin Penelitian Sistem Kesehatan, 23(3). https://doi.org/10.22435/hsr.v23i3.3244
Maia, M. C. C., Almeida, A. S., Araujo, L. B., Dias, C. T. S., Oliveira, L. C., Yokomizo, G. K. I., Rosado, R. D. S., Cruz, C. D., Vasconcelos, L. F. L., Lima, P. S. C., & Macedo, L. M. (2019). Principal component and biplot analysis in the agro-industrial characteristics of anacardium spp. European Scientific Journal ESJ, 15(30), 21–31. https://doi.org/10.19044/esj.2019.v15n30p21
Mattjik, A. A., & Sumertajaya, I. M. (2011). Sidik peubah ganda dengan menggunakan SAS (1st ed.). Bogor: IPB PRESS.
Nugroho, S. (2008). Statistika multivariat terapan (1st ed.). Bengkulu: UNIB Press.
Purwandari, T., & Hidayat, Y. (2016). Penerapan principal component analysis biplot untuk memetakan provinsi di Indonesia berdasarkan sarana pelayanan kesehatan. Prosiding Seminar Nasional MIPA 2016, 1(1), 27–28.
Reis, J. G., & Farole, T. (2012). Trade competitiveness diagnostic toolkit. Washington: The World Bank. https://doi.org/10.1596/978-0-8213-8937-9
Sari, L., & Sihombing, P. R. (2022). Principal component analysis biplot global competitiveness index ASEAN countries. Jurnal Litbang Edusaintech, 3(1), 25–32.
Vehkalahti, K., & Everitt, B. S. (2019). Multivariate analysis for the behavioral sciences (2nd ed.). CRC Press.
World Economic Forum. (2018). The Global Competitiveness Report 2018.
World Economic Forum. (2019). The Global Competitiveness Report 2019.
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