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:ESAN-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.esan.edu.pe:20.500.12640/2786
Enlace del recurso:https://revistas.esan.edu.pe/index.php/jefas/article/view/46
https://hdl.handle.net/20.500.12640/2786
https://doi.org/10.1108/JEFAS-07-2019-0126
Nivel de acceso:acceso abierto
Materia:Hybrid cluster analysis
PT pelindo I
Customer satisfaction
Sea transportation users
Análisis de cluster híbrido
Satisfacción del cliente
Usuarios del transporte marítimo
https://purl.org/pe-repo/ocde/ford#5.02.04
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dc.title.en_EN.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
Análisis de cluster híbrido
PT pelindo I
Satisfacción del cliente
Usuarios del transporte marítimo
https://purl.org/pe-repo/ocde/ford#5.02.04
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
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.contributor.author.fl_str_mv Cahyana, Bambang Eka
Nimran, Umar
Utami, Hamidah Nayati i
Iqbal, Mohammad
dc.subject.en_EN.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
Análisis de cluster híbrido
PT pelindo I
Satisfacción del cliente
Usuarios del transporte marítimo
https://purl.org/pe-repo/ocde/ford#5.02.04
dc.subject.es_ES.fl_str_mv Análisis de cluster híbrido
PT pelindo I
Satisfacción del cliente
Usuarios del transporte marítimo
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.02.04
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.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-12-10T23:11:29Z
dc.date.available.none.fl_str_mv 2021-12-10T23:11:29Z
dc.date.issued.fl_str_mv 2020-12-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.none.fl_str_mv Cahyana, B. E., Nimran, U., Utami, H. N. i, & Iqbal, M. (2020). Hybrid cluster analysis of customer segmentation of sea transportation users. Journal of Economics, Finance and Administrative Science, 25(50), 321-337. https://doi.org/10.1108/JEFAS-07-2019-0126
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12640/2786
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url https://revistas.esan.edu.pe/index.php/jefas/article/view/46
https://hdl.handle.net/20.500.12640/2786
https://doi.org/10.1108/JEFAS-07-2019-0126
identifier_str_mv Cahyana, B. E., Nimran, U., Utami, H. N. i, & Iqbal, M. (2020). Hybrid cluster analysis of customer segmentation of sea transportation users. Journal of Economics, Finance and Administrative Science, 25(50), 321-337. https://doi.org/10.1108/JEFAS-07-2019-0126
dc.language.none.fl_str_mv Inglés
dc.language.iso.none.fl_str_mv eng
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eu_rights_str_mv openAccess
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spelling Cahyana, Bambang EkaNimran, UmarUtami, Hamidah Nayati iIqbal, Mohammad2021-12-10T23:11:29Z2021-12-10T23:11:29Z2020-12-01https://revistas.esan.edu.pe/index.php/jefas/article/view/46Cahyana, B. E., Nimran, U., Utami, H. N. i, & Iqbal, M. (2020). Hybrid cluster analysis of customer segmentation of sea transportation users. Journal of Economics, Finance and Administrative Science, 25(50), 321-337. https://doi.org/10.1108/JEFAS-07-2019-0126https://hdl.handle.net/20.500.12640/2786https://doi.org/10.1108/JEFAS-07-2019-0126Purpose: 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.Propósito: El propósito de este estudio es aplicar el análisis de conglomerados híbridos para clasificar a los clientes de PT Pelindo I según el nivel de satisfacción del cliente con los servicios de pasajeros de PT Pelindo I. Diseño/metodología/enfoque: El análisis de conglomerados híbrido es una combinación de análisis de conglomerados jerárquico y no jerárquico. Este análisis de conglomerados híbrido parece optimizar las ventajas de los métodos jerárquicos y no jerárquicos simultáneamente para obtener una agrupación óptima. El análisis de conglomerados híbrido en sí tiene una gran flexibilidad porque puede combinar todos los métodos jerárquicos y no jerárquicos sin ningún límite en el orden de análisis utilizado. Hallazgos: Los resultados mostraron que el 72 % de los clientes de PT Pelindo I sintieron que el servicio de PT Pelindo I era especial, mientras que el 28 % restante consideró que el servicio de PT Pelindo I era bueno. Originalidad/valor: En total, 117 clientes de PT Pelindo I participaron en un estudio utilizando el método de muestreo no probabilístico.application/pdfInglésengUniversidad ESAN. ESAN EdicionesPEurn:issn:2218-0648https://revistas.esan.edu.pe/index.php/jefas/article/view/46/31Attribution 4.0 Internationalinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Hybrid cluster analysisPT pelindo ICustomer satisfactionSea transportation usersAnálisis de cluster híbridoPT pelindo ISatisfacción del clienteUsuarios del transporte marítimohttps://purl.org/pe-repo/ocde/ford#5.02.04Hybrid cluster analysis of customer segmentation of sea transportation usersinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtículoreponame:ESAN-Institucionalinstname:Universidad ESANinstacron:ESANJournal of Economics, Finance and Administrative Science3375032125Acceso abiertoTHUMBNAIL50.jpg50.jpgimage/jpeg67547https://repositorio.esan.edu.pe/bitstreams/52315b79-1831-4f6e-9ea9-a11502acc31e/download44e208e93ba6ad0d450d61c61c7ab5a8MD51falseAnonymousREADJEFAS-50-2020-321-337.pdf.jpgJEFAS-50-2020-321-337.pdf.jpgGenerated Thumbnailimage/jpeg4803https://repositorio.esan.edu.pe/bitstreams/b778a4db-c512-4ad4-892a-f5219617b497/download44dcc8aa0a66bc5419a2628a6c6ef093MD54falseAnonymousREADORIGINALJEFAS-50-2020-321-337.pdfTexto completoapplication/pdf1222418https://repositorio.esan.edu.pe/bitstreams/a659e11d-cb08-460a-9895-efd18bddc43a/download8a1f20a8c4e632deb127c9bc59c5b773MD52trueAnonymousREADTEXTJEFAS-50-2020-321-337.pdf.txtJEFAS-50-2020-321-337.pdf.txtExtracted texttext/plain39921https://repositorio.esan.edu.pe/bitstreams/f6883872-f465-420f-b5d1-a0c40ccf4683/download9a68c597bd8b599a08587b0c9fe1bbc5MD53falseAnonymousREAD20.500.12640/2786oai:repositorio.esan.edu.pe:20.500.12640/27862025-07-09 09:29:43.53https://creativecommons.org/licenses/by/4.0/Attribution 4.0 Internationalopen.accesshttps://repositorio.esan.edu.peRepositorio Institucional ESANrepositorio@esan.edu.pe
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Hybrid cluster analysis of customer segmentation of sea transportation users
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