Servicios Personalizados
Revista
Articulo
Articulo en XML
Referencias del artículo
Traducción automática
Enviar articulo por emailIndicadores
Citado por SciELO
Links relacionados
Similares en
SciELO
Compartir
Permalink
Journal of Economics, Finance and Administrative Science
versión impresa ISSN 2077-1886
Resumen
EKA CAHYANA, Bambang; NIMRAN, Umar; NAYATI UTAMI, Hamidah y IQBAL, Mohammad. Hybrid Cluster Analysis of customer segmentation of sea transportation users. Journal of Economics, Finance and Administrative Science [online]. 2020, vol.25, n.50, pp.321-338. ISSN 2077-1886. http://dx.doi.org/10.1108/jefas-07-2019-0126.
Purpose:
The purpose of this study is to apply hybrid cluster analysis in classifying PT Pelindo I customers based on the level of customer satisfaction with passenger services of PT Pelindo I.
Method:
Hybrid cluster analysis is a combination of hierarchical and non-hierarchical cluster analysis. This hybrid cluster analysis appears to optimize the advantages of hierarchical and non-hierarchical methods simultaneously to obtain optimal grouping. Hybrid cluster analysis itself has high flexibility because it can combine all hierarchical and non-hierarchical methods without any limits in the order of analysis used.
Finding:
The results showed that 72% of PT Pelindo I customers felt PT Pelindo I service was special, while the remaining 28% felt PT Pelindo I service was good.
Originality:
117 customers of PT Pelindo I were involved in a study using the Non-Probability Sampling method.
Palabras clave : Hybrid Cluster Analysis; PT Pelindo I; Customer satisfaction; Customer segmentation; Sea transportation users.
pdf
)
