PRINCIPAL COMPONENT ANALYSIS BIPLOT GLOBAL  COMPETITIVENESS INDEX ASEAN COUNTRIES

Lina Sari; Pardomuan Robinson Sihombing

doi:10.20527/epsilon.v14i2.2967

PRINCIPAL COMPONENT ANALYSIS BIPLOT GLOBAL COMPETITIVENESS INDEX ASEAN COUNTRIES

Lina Sari, Pardomuan Robinson Sihombing

Abstract

ASEAN's global competitiveness requires institutional and ASEAN countries appear to be a formidable economic actors in protecting the economic interests and at the same time having an open economic system that indicates the readiness of ASEAN to compete with the economic strength of the entire region in the world. In this case the measurement of global competitiveness factors become important aspects of state enterprises in the face of global competition. This study was conducted to determine how competitive the ASEAN countries with Biplot method of Principal Component Analysis. Results obtained from this study is the ASEAN countries have different advantages in each of the variables related to the global competitiveness index. In addition, the diversity of which can be explained more than 70% which is 90.69% which means that Principal Component Analysis Biplot describes well the overall total

Keywords

ASEAN, Biplot, Ekonomi, GCI, PCA

Full Text:

PDF

References

J. Reis and F. Thomas, Trade Competitiveness Diagnostic Toolkit, Washington D.C: World Bank, 2012.

M. Porter, The Competitive Advantage of Nation, New Yorl: The Free Press, 1990.

A. Mattjik and I. Sumertajaya, Sidik Variabel Ganda, Bogor: IPB Press, 2011.

I. T. Jollife, Principal Component Analysis, New York: Springer-Verlag, 2002.

E. Fitria, H. Diyah and A. Yasin, "Analisis Principal Component Biplot pada Bank Umum Persero yang Beroperasi di Jawa Tengah," in Prosiding Seminar Nasional Statistika, 2013.

A. A. Matjik, I. Sumertajaya and M. Sidik, Peubah Ganda dengan Menggunakan SAS, Bogor: IPB Press, 2011.

World Economic Forum, "The Global Competitiveness Report," 2017.

Jolliffe, Principal Component Analysis, Second Edition, New York: Springer, 2010.

K. Gabriel, "The Biplot Graphic Display of Matrices with Application to Principal Component," Biometrics, vol. 58, no. 3, p. 453, 1973.

G. Anuraga, "Analisis Biplot Untuk Pemetaan Karakteristik Kemiskinan Pada Kabupaten/Kota di Jawa Timur," Jurnal Statistika, vol. 7, pp. 25-34, 2015.

Z. A. Leleury and A. E. Wokanubun, "Analisis Biplot Pada Pemetaan Karakteristik Kemiskinan di Provinsi Maluku," Jurnal Ilmu Matematika dan Terapan, vol. 9, no. 1, p. 21 – 31, 2015.

DOI: https://doi.org/10.20527/epsilon.v14i2.2967