Analisis Faktor Sosial yang Mempengaruhi Percobaan Penggunaan Narkoba Menggunakan Exploratory Data Analysis (Eda) dan Linear Regression

Esi Putri  Silmina; Syarifah Najmah

doi:10.46229/jifotech.v5i1.967

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.

References

O. Ridha Wahyuni, D. Prawidya Azaria, A. Winanti, F. Hukum, And U. Pembangunan Nasional Veteran Jakarta, “Bahaya Penyalahgunaan Narkoba Di Kalangan Remaja Dan Upaya Pencegahannya,” Jurnal Pengabdian Kepada Masyarakat, Vol. 2, No. 4, 2022, [Online]. Available: Https://Bnn.Go.Id/Sing-Drugs-Wujudkan-Generasi-Bersinar/

R. Indiani, S. Nurazizah Ah, M. B. Abdulah, And R. Listi, “Faktor Yang Mempengaruhi Penyalahgunaan Napza Di Masyarakat,” Photon: Jurnal Sain Dan Kesehatan, Vol. 12, No. 2, Jun. 2022, Doi: 10.37859/Jp.V12i2.3306.

D. A. Asfia, N. F. Rizqiana, And F. Ladesvita, “Layanan Konseling Bagi Korban Penyalahgunaan Narkoba Pada Generasi Muda,” May 2023.

C. Yoga Wibisono, A. Puspita Wardani, V. Maulina Rahmawati, And A. Faris Fadhail, “Implementasi Exploratory Data Analysis Dalam Analisis Dan Visualisasi Data Covid-19 Di Indonesia Implementation Of Exploratory Data Analysis In Analysis And Visualization Of Covid-19 Data In Indonesia,” 2022.

I. N. Rizki, D. Prayoga, M. L. Puspita, And M. Q. Huda, “Implementasi Exploratory Data Analysis Untuk Analisis Dan Visualisasi Data Penderita Stroke Kalimantan Selatan Menggunakan Platform Tableau,” Jurnal Informatika Dan Teknik Elektro Terapan, Vol. 12, No. 1, Jan. 2024, Doi: 10.23960/Jitet.V12i1.3856.

H. T. Nugroho And S. Hidayat, “Implementasi Intelejen Bisnis Dengan Visualisasi Data Gaji Dan Algoritma Linear Regresion,” 2024. [Online]. Available: Https://Journal.Stmiki.Ac.Id

R. A. Prasetyo And Helma, “Analisis Regresi Linear Berganda Untuk Melihat Faktor Yang Berpengaruh Terhadap Kemiskinan Di Provinsi Sumatera Barat,” Journal Of Mathematics Unp, Vol. 7, Jul. 2022.

A. Kusnul Khotimah Et Al., “Analisis Regresi Linier Berganda Dalam Estimasi Indeks Pembangunan Manusia Di Indonesia Multiple Linear Regression Analysis In Estimating The Human Development Index In Indonesia,” Vol. 15, No. 2, 2024, Doi: 10.30872/Eksponensial.V15i2.1318.

S. Patricia, C. P. Marpaung, L. R. Wijaya, M. A. Paramartha, W. D. Atmadja, And R. Y. Ningsih, “Implementasi Exploratory Data Analysis (Eda) Untuk Menganalisis Berbagai Faktor Risiko Penyakit Jantung Di Amerika Serikat,” Jul. 2023.

A. H. Wibowo, K. Faisah, And Y. Devianto, “Analisa Dan Visualisasi Data Penjualan Menggunakan Exploratory Data Analysis Pada Pt. Telkominfra,” Jurnal Teknik Informatika Dan Sistem Informasi, Vol. 9, No. 3, 2022, [Online]. Available: Http://Jurnal.Mdp.Ac.Id

F. A. Sariasih, “Implementasi Business Intelligence Dashboard Dengan Tableau Public Untuk Visualisasi Propinsi Rawan Banjir Di Indonesia,” 2022.

R. Listiawaty, U. Ibnu Sina, J. Umar, L. Baja, P. Studi Kesehatan Lingkungan, And F. Ilmu Kesehatan, “Faktor Penyebab Penyalahgunaan Napza Pada Perilaku Remaja Sebagai Upaya Pencegahan,” Public Health And Safety International Journal, Vol. 1, No. 1, Pp. 2715–5854, 2021, Doi: 10.55642/Phasij.V1i01.

M. Radhi, D. Ryan Hamonangan Sitompul, S. Hamonangan Sinurat, And E. Indra, “Analisis Big Data Dengan Metode Exploratory Data Analysis (Eda) Dan Metode Visualisasi Menggunakan Jupyter Notebook,” Jurnal Sistem Informasi Dan Ilmu Komputer Prima, Vol. 4, No. 2, 2021.

M. Elfrida Wunu And F. Yulian Pamuji, “Perancangan Visualisasi Data Covid-19 Di Indonesia Menggunakan Tableau,” Seminar Nasional Sistem Informasi, 2023, [Online]. Available: Www.Kaggle.Com

M. Badri Tamam, “Visualisasi Data Penyebaran Covid 19 Di Indonesia Dan Malaysia Data Visualization Of The Spread Of Covid 19 In Indonesia And Malaysia,” Vol. 11, No. 1, 2022.

A. Rahman Et Al., “Data Visualisasi Pada Website Layanan Pengadaan Secara Elektronik (Lpse) Menggunakan Metode Web Scraping,” 2022.