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The Study of Online and Conventional Transportation in Semarang City

Economics Development Analysis Journal · Vol. 8 No. 1 (2019) · pp. 22–29

DOI
10.15294/edaj.v8i1.25685
ISSN
2252-6560
Published
2019-03-05
Publisher
Economics Development Department, Universitas Negeri Semarang, Indonesia
Language
eng

Abstract

The aims of this study are; knowing the profile of users of online transportation services, knowing the factors that influence the selection of online transportation and knowing the correlation of online transportation towards the income of conventional transportation drivers in Semarang City. This research used descriptive percentage, multiple linear regression and the correlation with the helped of SPSS program as analysis method. The results show that the users of online transportation services are dominant female in the age range 21-30 with the last education taken is college. For employee, mostly are private employees and college students with dominant status are not married or single. Factors that significantly influence the use of online transportation in Semarang City are price, income, service quality and distance. While the price of other transportation and travel time factors do not have a real influence on the use of online transportation services in Semarang City. Technological variables show a very weak correlation, and the number of online transport fleets variable shows sufficient or moderate correlation. The government is expected to be more careful in setting conventional transportation prices so that the price inequality that occurs between online transportation and conventional transportation is not too high. Because not all consumers use online transportation and able to use internet

Collaboration network of the authors

40 authors · 81 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Institut Agama Islam Negeri Kendari
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Sucihatiningsih Dian Wisika PrajantiState University of Semarang2
Grace Natalia MarpaungAffiliation unknown2
Yozi Aulia RahmanAffiliation unknown2
Joko WidodoAffiliation unknown2
Eva BanowatiAffiliation unknown2
Thriwaty ArsalAffiliation unknown2
Etty Puji LestariAffiliation unknown1
Agung Yudhi PramonoAffiliation unknown1
Assafrul Ali AdhimAffiliation unknown1
Rizki NafisaAffiliation unknown1
Tania WicaksanaAffiliation unknown1
Yustiko Arvan Gilang PangestuAffiliation unknown1
Makbuludin MakbuludinAffiliation unknown1
Maman RachmanAffiliation unknown1
Tri Joko RaharjoAffiliation unknown1
Musino MusinoAffiliation unknown1
Nadhirin NadhirinAffiliation unknown1
Cahyo Budi UtomoAffiliation unknown1
Tri Joko RaharjoAffiliation unknown1
Rinda Herdiyani RindaAffiliation unknown1
Anisah AnisahInstitut Agama Islam Negeri Kendari1
Lely Kusumaning AyuAffiliation unknown1
Novita RahmawatiAffiliation unknown1
Febrianti WahyuningrumAffiliation unknown1
Yuan Daniel TegarAffiliation unknown1
Rizka YulianiAffiliation unknown1
Bambang PriyonoState University of Semarang1
Tjetjep Rohendi RohidiAffiliation unknown1
Haryono HaryonoAffiliation unknown1
Rusdarti RusdartiAffiliation unknown1
Hidayatun HidayatunAffiliation unknown1
Fitri NurhayatiAffiliation unknown1
Eko PrasetyoAffiliation unknown1
Aryan Eka Prastya NugrahaAffiliation unknown1
Baiq Diyah RumingsihAffiliation unknown1
P. Eko PrasetyoAffiliation unknown1
Noffik ErmawatiAffiliation unknown1
Nurlaela NurlaelaInstitut Agama Islam Negeri Kendari1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/edaj/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">The Study of Online and Conventional Transportation in Semarang City</dc:title>
	<dc:creator>Parameswari, Gita Yuliantina</dc:creator>
	<dc:creator>Soesilowati, Etty</dc:creator>
	<dc:description xml:lang="en-US">The aims of this study are; knowing the profile of users of online transportation services, knowing the factors that influence the selection of online transportation and knowing the correlation of online transportation towards the income of conventional transportation drivers in Semarang City. This research used descriptive percentage, multiple linear regression and the correlation with the helped of SPSS program as analysis method. The results show that the users of online transportation services are dominant female in the age range 21-30 with the last education taken is college. For employee, mostly are private employees and college students with dominant status are not married or single. Factors that significantly influence the use of online transportation in Semarang City are price, income, service quality and distance. While the price of other transportation and travel time factors do not have a real influence on the use of online transportation services in Semarang City. Technological variables show a very weak correlation, and the number of online transport fleets variable shows sufficient or moderate correlation. The government is expected to be more careful in setting conventional transportation prices so that the price inequality that occurs between online transportation and conventional transportation is not too high. Because not all consumers use online transportation and able to use internet</dc:description>
	<dc:publisher xml:lang="en-US">Economics Development Department, Universitas Negeri Semarang, Indonesia</dc:publisher>
	<dc:date>2019-03-05</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/edaj/article/view/25685</dc:identifier>
	<dc:identifier>10.15294/edaj.v8i1.25685</dc:identifier>
	<dc:source xml:lang="en-US">Economics Development Analysis Journal; Vol 8 No 1 (2019): Economics Development Analysis Journal; 22-29</dc:source>
	<dc:source>2252-6560</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/edaj/article/view/25685/12947</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Economics Development Analysis Journal</dc:rights>
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