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

  • Marlina Setia Sinaga Mathematics Study Program, FMIPA, Universitas Negeri Medan
  • Arnita Arnita Computer Science Study Program, FMIPA, Universitas Negeri Medan
  • Yulita Molliq Rangkuti Computer Science Study Program, FMIPA, Universitas Negeri Medan
  • Didi Febrian Mathematics Study Program, FMIPA, Universitas Negeri Medan
DOI: https://doi.org/10.30598/barekengvol16iss2pp713-720
Keywords: Drivers, Online Transportation Companies, Game Theory, Linear Programming, strategies payoff table

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.

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Published
2022-06-01
How to Cite
[1]
M. Sinaga, A. Arnita, Y. Rangkuti, and D. Febrian, “GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 713-720, Jun. 2022.
Issue
Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Section
Articles

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