ANALISIS KORESPONDENSI ORDINAL UNTUK MENGEVALUASI TINGKAT KEPUASAN KONSUMEN

Authors

  • Tia Fitria Saumi
  • Andreas Tri Panudju

DOI:

https://doi.org/10.32493/sm.v2i1.4209

Keywords:

Analisis korespondensi ordinal, bivariate moment decomposition, polynomial orthogonal, singular value decomposition

Abstract

Analisis korespondensi ordinal merupakan sebuah analisis multivariat untuk memetakan tingkat kepuasan produk atau tingkat pelayanan jasa dalam sebuah grafik. Analisis ini mengkombinasikan penguraian singular dari analisis korespondensi klasik dan polynomial orthogonal melalui penguraian momen bivariate. Penggabungan kedua fitur tersebut berfungsi untuk mengakomodasi struktur urutan dalam skala ordinal, sehingga informasi dari variabel-variabel ordinal tersebut dapat diukur.

Author Biographies

Tia Fitria Saumi

Universitas Bina Bangsa

Andreas Tri Panudju

Universitas Bina Bangsa

References

Lombardo, R., & Meulman, J. (2010). Multiple Correspondence Analysis Via Polynomial Transformation of Ordered Categorical Variables. journal of Classification , 191-210.

StatMat

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Published

2020-01-30

Issue

Vol. 2 No. 1 (2020)

Section

Articles

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