Analysis of the Influence of Infrastructure, Costs, and Services for the Crew's PT. PELNI on Customer Satisfaction Using Principal Component Analysis (PCA) Method
Hilda Emeraldo Ahmad Adiarsa, Mokhamad Aufal Huda, I Gusti Ngurah Sumanta Buana
Abstract
The presence of efficient port infrastructure is of utmost importance in ensuring the seamless functioning of both cargo and passenger operations. In addition to infrastructure, providing high-quality service by a ship's crew is equally important to derive from the infrastructure. Another factor to consider is whether the cost levied for services and infrastructure meets the community's expectations, as excessive costs without adequate infrastructure and services will result in dissatisfied customers. Therefore, customer satisfaction cannot only be assessed from one aspect but must be seen from various aspects, which in this study will be seen from the infrastructure, costs, and crew services. This research focuses on ships owned by PT. PELNI because this company is one of the largest in Indonesia, leading in great demand for sea transportation services. The research on infrastructure aspects, costs, and crew services includes supporting aspects to link them to customer satisfaction with PT. PELNI will be analysed using the Principal Component Analysis (PCA) method. The principal component (PC) can be utilised for feature selection and variable interpretation for data with several variables and a correlation. The results found that infrastructure (X1) can explain the factor variance of 45.309%.
Keywords
Cost, Customer Satisfaction, Infrastructure, Principal Component Analysis.
References
PELNI. Tentang kami. (2023) https://www.pelni.co.id/tentang-kami.
PELNI. Jasa logistic. (2023) https://www.pelni.co.id/jasa-logistik.
PELNI. Tata Kelola PT. PELNI. (2023). https://www.pelni.co.id/tata-kelola-pt-pelni.
PELNI. Kilas kinerja keberlanjutan 2021. Jakarta: Pelayaran Nasional Indonesia (2021).
R. A. Johnson and D. W. Wichern. Applied multivariate statistical analysis, sixth edition. London: Pearson Education LID (2007).
T. Jolliffe. Principal component analysis. New York: Springer (2010).
Ghozali. Aplikasi analisis multivariate dengan program spss. Semarang: Badan Penerbit Universitas Diponegoro (2006).
N. Babaee. Investigating effective factors and presenting a practical guideline to adoption of mobile ticketing. Swedia: Lulea University of Technology (2010).
N. K. Maholtra and D. Birks. Marketing research: an applied approach, 3rd edition. Prentice Hall: Upper Saddle River (2006).
L. Cohen, L. Manion and K. Morrison. Research methods in education. Routledge/Falmer (2000).
D. L. Segal and F. L. Coolidge. Reliability. Thousand Oaks: SAGE (2018).
DOI:
http://dx.doi.org/10.12962%2Fj25800914.v8i2.22073
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