Investigating Adolescent Vulnerability in Indonesia: A Socio-Remote Sensing Big Data Analytics Study Using Night Light Data

• Published in: IEEE access Vol. 12; pp. 14800 - 14818
• Main Authors: Toharudin, Toni, Caraka, Rezzy Eko, Kaban, Puspita Anggraini, Supardi, Khairunnisa, Kurniawan, Robert, Kim, Yunho, Mufti, Syihabuddin Ahmad, Gio, Prana Ugiana, Sakti, Anjar Dimara, Chen, Rung-Ching, Noh, Maengseok, Pardamean, Bens
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adolescent; behavioral; Behavioral sciences; Big Data; big data analytics; Data analysis; Education; Government; Medical services; Mental health; Night; Pediatrics; Remote sensing; vulnerability; Indonesia
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2024.3355963

The rising prevalence of behavioral and mental health challenges among Indonesian adolescents, affecting nearly one in three, is a pressing concern intensified by constant internet exposure and heightened social comparisons. This study, using data from Indonesia's National Socioeconomic Survey, examines the likelihood of mental health issues in adolescents, incorporating variables like mobile phone usage, emotional and behavioral disorder classifications, travel experiences, insurance ownership, maternal residence, house surface area, and night light remote sensing data. Our findings reveal that urban adolescents face a higher susceptibility to behavioral disorders compared to rural peers, with males being 1.18 times more likely to experience behavioral and emotional disturbances than females. This research validates the suitability of these variables for assessing vulnerability among adolescents. Leveraging big data analytics, it highlights the multifaceted determinants of adolescent vulnerability in Indonesia, stressing the need for targeted interventions and policies to enhance their well-being.