Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election
Social media plays a very influential role, especially in the world of politics and elections. The 2024 elections in Indonesia show how social media can influence political dynamics. This research aims to analyze the influence of social media on the political participation of IAIN Kediri students in...
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| Format: | Article |
| Language: | English |
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institut agama islam negeri kediri
2024-12-01
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| Series: | Journal Focus Action of Research Mathematic |
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| Online Access: | https://jurnalfaktarbiyah.iainkediri.ac.id/index.php/factorm/article/view/3703 |
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| author | Kurnia Ahadiyah Ardiana Fatma Dewi Shinta Hircatanu Romadewanti |
| author_facet | Kurnia Ahadiyah Ardiana Fatma Dewi Shinta Hircatanu Romadewanti |
| author_sort | Kurnia Ahadiyah |
| collection | DOAJ |
| description | Social media plays a very influential role, especially in the world of politics and elections. The 2024 elections in Indonesia show how social media can influence political dynamics. This research aims to analyze the influence of social media on the political participation of IAIN Kediri students in the 2024 Presidential Election, as well as understand how social media shapes public opinion and polarizes political views, with a focus on its impact on political participation among students. Data from the Indonesian Internet Service Providers Association (APJII) shows that the majority of the Indonesian population actively uses social media, so political candidates use platforms such as YouTube, Facebook, Instagram, and TikTok to attract support. Social media accelerates the delivery of political messages and has the potential to strengthen polarization and spread misleading information. In this research, a binary logistic regression model is used to analyze the factors that influence student participation in the 2024 presidential election. The findings show that students who actively follow news in mass media have a 7,157 times greater chance of participating in the 2024 presidential election compared to those who do not follow the news. These results emphasize the importance of social media in motivating political participation among students and provide insight into how social media can be utilized to improve the integrity and quality of democracy. |
| format | Article |
| id | doaj-art-8ccb6238413d4b9d835df968e25dab1b |
| institution | Kabale University |
| issn | 2655-3511 2656-307X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | institut agama islam negeri kediri |
| record_format | Article |
| series | Journal Focus Action of Research Mathematic |
| spelling | doaj-art-8ccb6238413d4b9d835df968e25dab1b2025-01-07T23:48:40Zenginstitut agama islam negeri kediriJournal Focus Action of Research Mathematic2655-35112656-307X2024-12-0172354910.30762/f_m.v7i2.37033708Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential electionKurnia Ahadiyah0Ardiana Fatma Dewi1Shinta Hircatanu Romadewanti2Institut Agama Islam Negeri (IAIN) KediriInstitut Agama Islam Negeri (IAIN) KediriCambridge University, Cambridge, EnglandSocial media plays a very influential role, especially in the world of politics and elections. The 2024 elections in Indonesia show how social media can influence political dynamics. This research aims to analyze the influence of social media on the political participation of IAIN Kediri students in the 2024 Presidential Election, as well as understand how social media shapes public opinion and polarizes political views, with a focus on its impact on political participation among students. Data from the Indonesian Internet Service Providers Association (APJII) shows that the majority of the Indonesian population actively uses social media, so political candidates use platforms such as YouTube, Facebook, Instagram, and TikTok to attract support. Social media accelerates the delivery of political messages and has the potential to strengthen polarization and spread misleading information. In this research, a binary logistic regression model is used to analyze the factors that influence student participation in the 2024 presidential election. The findings show that students who actively follow news in mass media have a 7,157 times greater chance of participating in the 2024 presidential election compared to those who do not follow the news. These results emphasize the importance of social media in motivating political participation among students and provide insight into how social media can be utilized to improve the integrity and quality of democracy.https://jurnalfaktarbiyah.iainkediri.ac.id/index.php/factorm/article/view/3703social mediapolitical participationbinary logistic regression |
| spellingShingle | Kurnia Ahadiyah Ardiana Fatma Dewi Shinta Hircatanu Romadewanti Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election Journal Focus Action of Research Mathematic social media political participation binary logistic regression |
| title | Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election |
| title_full | Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election |
| title_fullStr | Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election |
| title_full_unstemmed | Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election |
| title_short | Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election |
| title_sort | application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election |
| topic | social media political participation binary logistic regression |
| url | https://jurnalfaktarbiyah.iainkediri.ac.id/index.php/factorm/article/view/3703 |
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