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GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 16 No. 2 (2022) · pp. 713–720

DOI
10.30598/barekengvol16iss2pp713-720
ISSN
2615-3017, 1978-7227
Published
2022-06-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

Online motorcycle taxi drivers are a group of people who are economically affected by the Covid-19 pandemic. This study aimed to provide a balanced choice strategy for drivers and companies. Game theory was applied to conflict of interest situations as a research method. Choices for online transportation companies and drivers are analyzed and arranged in a payoff table until they reach the saddle point. Simulation software as an illustration of a balanced model. This research resulted in driver diligence and incentive strategies as optimal strategies for drivers and companies. If drivers improve performance by choosing a driver diligence strategy, the driver's expectations of getting incentives will be more realistic. Meanwhile, for the company, when the driver's diligence increases, the choice of providing incentives will provide balanced benefits as well.

Collaboration network of the authors

21 authors · 55 co-authorship links

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Co-authorOrganisationJoint articles
Faridawaty MarpaungAffiliation unknown5
Sudianto ManullangAffiliation unknown3
Rinjani Cyra NabilaAffiliation unknown2
Amanda FitriaAffiliation unknown2
Nita SuryaniAffiliation unknown2
Said IskandarAffiliation unknown2
Fatizanolo BuuloloAffiliation unknown2
Sri DewiAffiliation unknown2
Eri WidyastutiAffiliation unknown2
Wahyu Nur FadillahAffiliation unknown1
Ichwanul Muslim Karo KaroAffiliation unknown1
Pardomuan N. J. M. SinambelaAffiliation unknown1
Fauza NadyaAffiliation unknown1
Mulyono MulyonoAffiliation unknown1
K M A FauziAffiliation unknown1
Eni YuniastutiAffiliation unknown1
Suvriadi PanggabeanAffiliation unknown1

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://ojs3.unpatti.ac.id/index.php/barekeng/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">GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC</dc:title>
	<dc:creator>Sinaga, Marlina Setia</dc:creator>
	<dc:creator>Arnita, Arnita</dc:creator>
	<dc:creator>Rangkuti, Yulita Molliq</dc:creator>
	<dc:creator>Febrian, Didi</dc:creator>
	<dc:description xml:lang="en-US">Online motorcycle taxi drivers are a group of people who are economically affected by the Covid-19 pandemic. This study aimed to provide a balanced choice strategy for drivers and companies. Game theory was applied to conflict of interest situations as a research method. Choices for online transportation companies and drivers are analyzed and arranged in a payoff table until they reach the saddle point. Simulation software as an illustration of a balanced model. This research resulted in driver diligence and incentive strategies as optimal strategies for drivers and companies. If drivers improve performance by choosing a driver diligence strategy, the driver's expectations of getting incentives will be more realistic. Meanwhile, for the company, when the driver's diligence increases, the choice of providing incentives will provide balanced benefits as well.</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2022-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5084</dc:identifier>
	<dc:identifier>10.30598/barekengvol16iss2pp713-720</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 713-720</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol16iss2year2022</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5084/4477</dc:relation>
</oai_dc:dc>