Analysis of Social Factors Influencing Drug Use Attempts Using Exploratory Data Analysis (EDA) and Linear Regression

Authors

  • Esi Putri Silmina Universitas ‘Aisyiyah Yogyakarta
  • Syarifah Najmah Universitas 'Aisyiyah Yogyakarta

DOI:

https://doi.org/10.46229/jifotech.v5i1.967

Keywords:

Social Factors, Drug Use Experimentation, Exploratory data analysis, Linear Regression, Data Visualization

Abstract

Drug abuse among adolescents and young adults is a growing social problem. However, the social factors that influence the initial decision to try drugs still need further research. This study aims to analyze the main social factors that contribute to attempted drug use by applying Exploratory Data Analysis (EDA) and Linear Regression models. The dataset used is Kaggle's Youth Smoking and Drug Dataset, which includes variables such as age, socioeconomic status, peer influence, mental health, family conditions, and access to school programs. Through data exploration, this study identified patterns, trends, and relationships between variables to understand the dominant factors in attempted drug use. Linear regression models were used to predict trends in drug experimentation in the period 2025-2030. The analysis showed that peer influence (34%) and family conditions (28%) were the main factors driving drug experimentation, followed by socioeconomic status, mental health, and access to school programs. The prediction model applied showed a good level of accuracy, while interactive data visualization using Tableau helped in understanding the relationship between variables in more depth. This research is expected to provide data-driven insights for policymakers in designing more effective and targeted prevention strategies.

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Published

2025-03-28

How to Cite

Silmina, E. P. ., & Najmah, S. (2025). Analysis of Social Factors Influencing Drug Use Attempts Using Exploratory Data Analysis (EDA) and Linear Regression. Journal of Information Technology, 5(1). https://doi.org/10.46229/jifotech.v5i1.967