Analisis Pengaruh Media Sosial X Terhadap Sikap dan Perilaku Remaja Menggunakan K-Means Clustering

This research aims to analyze the influence of social media X on adolescent attitudes and behavior using the K-means clustering method. Social media has an important role in everyday life, especially among teenagers, who are vulnerable to external influences in shaping their attitudes and behavior. In this study, data was collected through a survey covering aspects such as frequency of use, type of content consumed, and social interactions on the platform. The K-means clustering method is used to group teenagers based on their patterns of social media use and the characteristics of their attitudes and behavior. The results of the analysis show that there are several clusters that indicate a significant relationship between the intensity of use of social media X and changes in teenagers' attitudes and behavior. These findings provide valuable insights for parents, educators, and policy makers in understanding the impact of social media on adolescent development and formulating strategies to mitigate its negative effects.

Authors

Publication Details

Journal
Jurnal Indonesia Manajemen Informatika dan Komunikasi
Published
2024-09-19
DOI
https://doi.org/10.35870/jimik.v5i3.991
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
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article

Analisis Pengaruh Media Sosial X Terhadap Sikap dan Perilaku Remaja Menggunakan K-Means Clustering

Farid Raihan, Sutisna Sutisna
Jurnal Indonesia Manajemen Informatika dan Komunikasi
Data Mining and Machine Learning Applications
article

Analisis Pengaruh Media Sosial X Terhadap Sikap dan Perilaku Remaja Menggunakan K-Means Clustering

Farid Raihan, Sutisna Sutisna
article en

Abstract

This research aims to analyze the influence of social media X on adolescent attitudes and behavior using the K-means clustering method. Social media has an important role in everyday life, especially among teenagers, who are vulnerable to external influences in shaping their attitudes and behavior. In this study, data was collected through a survey covering aspects such as frequency of use, type of content consumed, and social interactions on the platform. The K-means clustering method is used to group teenagers based on their patterns of social media use and the characteristics of their attitudes and behavior. The results of the analysis show that there are several clusters that indicate a significant relationship between the intensity of use of social media X and changes in teenagers' attitudes and behavior. These findings provide valuable insights for parents, educators, and policy makers in understanding the impact of social media on adolescent development and formulating strategies to mitigate its negative effects.

Jurnal Indonesia Manajemen Informatika dan KomunikasiVol. 5(3)
Openalex Percentile: Top 75%
Data Mining and Machine Learning Applications
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