Hybrid cluster analysis of customer segmentation of sea transportation users

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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. Design/methodology/approach: Hybrid cluster analysis is a combination of hierarchical and nonhierarchical...

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Detalles Bibliográficos
Autores: Cahyana, Bambang Eka, Nimran, Umar, Utami, Hamidah Nayati i, Iqbal, Mohammad
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad ESAN
Repositorio:Revistas - Universidad ESAN
Lenguaje:inglés
OAI Identifier:oai:ojs.pkp.sfu.ca:article/46
Enlace del recurso:https://revistas.esan.edu.pe/index.php/jefas/article/view/46
Nivel de acceso:acceso abierto
Materia:Hybrid cluster analysis
PT pelindo I
Customer satisfaction
Sea transportation users
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spelling Hybrid cluster analysis of customer segmentation of sea transportation usersCahyana, Bambang Eka Nimran, Umar Utami, Hamidah Nayati iIqbal, Mohammad Hybrid cluster analysisPT pelindo ICustomer satisfactionSea transportation usersPurpose: 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. Design/methodology/approach: Hybrid cluster analysis is a combination of hierarchical and nonhierarchical 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. Findings: 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/value: In total, 117 customers of PT Pelindo I were involved in a study using the nonprobability sampling method. DOI:  https://doi.org/10.1108/JEFAS-07-2019-0126Universidad ESAN2020-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://revistas.esan.edu.pe/index.php/jefas/article/view/46Journal of Economics, Finance and Administrative Science; Vol. 25 No. 50 (2020): July-December; 321 - 337Journal of Economics, Finance and Administrative Science; Vol. 25 Núm. 50 (2020): July-December; 321 - 3372218-06482077-1886reponame:Revistas - Universidad ESANinstname:Universidad ESANinstacron:ESANenghttps://revistas.esan.edu.pe/index.php/jefas/article/view/46/31Copyright (c) 2021 Journal of Economics, Finance and Administrative Sciencehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/462021-06-20T00:03:28Z
dc.title.none.fl_str_mv Hybrid cluster analysis of customer segmentation of sea transportation users
title Hybrid cluster analysis of customer segmentation of sea transportation users
spellingShingle Hybrid cluster analysis of customer segmentation of sea transportation users
Cahyana, Bambang Eka
Hybrid cluster analysis
PT pelindo I
Customer satisfaction
Sea transportation users
title_short Hybrid cluster analysis of customer segmentation of sea transportation users
title_full Hybrid cluster analysis of customer segmentation of sea transportation users
title_fullStr Hybrid cluster analysis of customer segmentation of sea transportation users
title_full_unstemmed Hybrid cluster analysis of customer segmentation of sea transportation users
title_sort Hybrid cluster analysis of customer segmentation of sea transportation users
dc.creator.none.fl_str_mv Cahyana, Bambang Eka
Nimran, Umar
Utami, Hamidah Nayati i
Iqbal, Mohammad
author Cahyana, Bambang Eka
author_facet Cahyana, Bambang Eka
Nimran, Umar
Utami, Hamidah Nayati i
Iqbal, Mohammad
author_role author
author2 Nimran, Umar
Utami, Hamidah Nayati i
Iqbal, Mohammad
author2_role author
author
author
dc.subject.none.fl_str_mv Hybrid cluster analysis
PT pelindo I
Customer satisfaction
Sea transportation users
topic Hybrid cluster analysis
PT pelindo I
Customer satisfaction
Sea transportation users
description 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. Design/methodology/approach: Hybrid cluster analysis is a combination of hierarchical and nonhierarchical 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. Findings: 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/value: In total, 117 customers of PT Pelindo I were involved in a study using the nonprobability sampling method. DOI:  https://doi.org/10.1108/JEFAS-07-2019-0126
publishDate 2020
dc.date.none.fl_str_mv 2020-12-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.esan.edu.pe/index.php/jefas/article/view/46
url https://revistas.esan.edu.pe/index.php/jefas/article/view/46
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.esan.edu.pe/index.php/jefas/article/view/46/31
dc.rights.none.fl_str_mv Copyright (c) 2021 Journal of Economics, Finance and Administrative Science
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Journal of Economics, Finance and Administrative Science
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad ESAN
publisher.none.fl_str_mv Universidad ESAN
dc.source.none.fl_str_mv Journal of Economics, Finance and Administrative Science; Vol. 25 No. 50 (2020): July-December; 321 - 337
Journal of Economics, Finance and Administrative Science; Vol. 25 Núm. 50 (2020): July-December; 321 - 337
2218-0648
2077-1886
reponame:Revistas - Universidad ESAN
instname:Universidad ESAN
instacron:ESAN
instname_str Universidad ESAN
instacron_str ESAN
institution ESAN
reponame_str Revistas - Universidad ESAN
collection Revistas - Universidad ESAN
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.086472
Hybrid cluster analysis of customer segmentation of sea transportation users
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