GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC
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 transport...
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| Format: | Article |
| Language: | English |
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Universitas Pattimura
2022-06-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5084 |
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| author | Marlina Setia Sinaga Arnita Arnita Yulita Molliq Rangkuti Didi Febrian |
| author_facet | Marlina Setia Sinaga Arnita Arnita Yulita Molliq Rangkuti Didi Febrian |
| author_sort | Marlina Setia Sinaga |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-6399e549bfc64513a7dadd985d76e52d |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-6399e549bfc64513a7dadd985d76e52d2025-08-20T04:01:48ZengUniversitas PattimuraBarekeng1978-72272615-30172022-06-0116271372010.30598/barekengvol16iss2pp713-7205084GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMICMarlina Setia Sinaga0Arnita Arnita1Yulita Molliq Rangkuti2Didi Febrian3Mathematics Study Program, FMIPA, Universitas Negeri MedanComputer Science Study Program, FMIPA, Universitas Negeri MedanComputer Science Study Program, FMIPA, Universitas Negeri MedanMathematics Study Program, FMIPA, Universitas Negeri MedanOnline 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.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5084driversonline transportation companiesgame theorylinear programmingstrategies payoff table |
| spellingShingle | Marlina Setia Sinaga Arnita Arnita Yulita Molliq Rangkuti Didi Febrian GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC Barekeng drivers online transportation companies game theory linear programming strategies payoff table |
| title | GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC |
| title_full | GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC |
| title_fullStr | GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC |
| title_full_unstemmed | GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC |
| title_short | GAME THEORY APPLICATION ON ONLINE TRANSPORTATION COMPANY AND DRIVER INCOME LEVELS DURING THE PANDEMIC |
| title_sort | game theory application on online transportation company and driver income levels during the pandemic |
| topic | drivers online transportation companies game theory linear programming strategies payoff table |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/5084 |
| work_keys_str_mv | AT marlinasetiasinaga gametheoryapplicationononlinetransportationcompanyanddriverincomelevelsduringthepandemic AT arnitaarnita gametheoryapplicationononlinetransportationcompanyanddriverincomelevelsduringthepandemic AT yulitamolliqrangkuti gametheoryapplicationononlinetransportationcompanyanddriverincomelevelsduringthepandemic AT didifebrian gametheoryapplicationononlinetransportationcompanyanddriverincomelevelsduringthepandemic |