Hybrid cluster analysis of customer segmentation of sea transportation users

dc.creatorCahyana, Bambang Eka
dc.creatorNimran, Umar
dc.creatorUtami, Hamidah Nayati i
dc.creatorIqbal, Mohammad
dc.date.accessioned2021-12-10T23:11:29Z
dc.date.accessioned2023-05-31T19:50:36Z
dc.date.available2021-12-10T23:11:29Z
dc.date.available2023-05-31T19:50:36Z
dc.date.created2021-12-10T23:11:29Z
dc.date.issued2020-12-01
dc.identifierCahyana, 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.identifierhttps://hdl.handle.net/20.500.12640/2786
dc.identifierhttps://doi.org/10.1108/JEFAS-07-2019-0126
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6507331
dc.description.abstractPurpose: 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.
dc.languageeng
dc.publisherUniversidad ESAN. ESAN Ediciones
dc.publisherPE
dc.relationurn:issn:2218-0648
dc.relationhttps://revistas.esan.edu.pe/index.php/jefas/article/view/46/31
dc.rightshttps://creativecommons.org/licenses/by/4.0
dc.rightsAtribución 4.0 Internacional
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceJournal of Economics Finance and Administrative Studies (22180648) vol. 25 Issue 50 (2020)
dc.subjectHybrid cluster analysis
dc.subjectPT pelindo I
dc.subjectCustomer satisfaction
dc.subjectSea transportation users
dc.titleHybrid cluster analysis of customer segmentation of sea transportation users
dc.typeinfo:eu-repo/semantics/article


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