Technological developments have changed all aspects of life, including changes from conventional transportation systems to online transportation systems. This change has influenced the people's decision to choose online transportation supported by various facilities and advantages compared to traditional transportation systems. The purpose of this research is to be able to identify changes in consumer behavior in choosing online transportation so that online transportation service providers can find out the preferences that make consumers prefer online traffic compared to conventional transit. This study uses a quantitative approach that is supported by the conjoint analysis method and involves 100 respondents, namely consumers who use online transportation services. Based on the results of the study, that found that the most preferred combination by all consumers of online transportation services, especially on motorcycle online transportation services are the rates and speed of picking up service attributes.
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27 April 2023
PROCEEDINGS OF THE SYMPOSIUM ON ADVANCE OF SUSTAINABLE ENGINEERING 2021 (SIMASE 2021): Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research
18–19 August 2021
Bandung, Indonesia
Research Article|
April 27 2023
Identification of consumer preferences online transportation users using contjoint analysis
R. Kurniawati;
R. Kurniawati
a)
Department of Industry Engineering, Sekolah Tinggi Teknologi Garut
, Jalan Mayor Syamsu 1, Garut, Indonesia
a)Corresponding author: [email protected]
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T. I. Nurjaman;
T. I. Nurjaman
Department of Industry Engineering, Sekolah Tinggi Teknologi Garut
, Jalan Mayor Syamsu 1, Garut, Indonesia
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A. Ikhwana;
A. Ikhwana
Department of Industry Engineering, Sekolah Tinggi Teknologi Garut
, Jalan Mayor Syamsu 1, Garut, Indonesia
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Y. Mauluddin;
Y. Mauluddin
Department of Industry Engineering, Sekolah Tinggi Teknologi Garut
, Jalan Mayor Syamsu 1, Garut, Indonesia
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B. L. Hakim
B. L. Hakim
Department of Industry Engineering, Sekolah Tinggi Teknologi Garut
, Jalan Mayor Syamsu 1, Garut, Indonesia
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a)Corresponding author: [email protected]
AIP Conf. Proc. 2646, 050041 (2023)
Citation
R. Kurniawati, T. I. Nurjaman, A. Ikhwana, Y. Mauluddin, B. L. Hakim; Identification of consumer preferences online transportation users using contjoint analysis. AIP Conf. Proc. 27 April 2023; 2646 (1): 050041. https://doi.org/10.1063/5.0129749
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