Izvorni znanstveni članak
https://doi.org/10.20471/may.2020.56.01.01
Self-Resilience Model of Drug Initiation and Drug Addiction (A Structural Equation Model Approach)
Rosmala Dewi
orcid.org/0000-0002-6174-7410
; Faculty of Education, State University of Medan, Indonesia
Muhammad Fitri Rahmadana
orcid.org/0000-0002-3700-1272
; Faculty of Economics, State University of Medan, Indonesia
Wanapri Pangaribuan
; Faculty of Science, State University of Medan, Indonesia
Muhammad Bukhori Dalimunthe
orcid.org/0000-0002-2422-5568
; Faculty of Economics, State University of Medan, Indonesia
Sažetak
This study aims to find a model of students’ self-resilience to drug initiation and addiction. Samples taken were 130 street children respondents who were assumed to be vulnerable to drug initiation and addiction. Data were collected using a questionnaire containing questions from 5 latent variables (unobserved variables) with 26 indicators and 288 questions that had been tested for validity and reliability. Data analysis was performed using Structural Equation Model. This study shows that the Technology Utilization variable has a significant influence on the variables of Drug Danger Awareness, Spiritual Guidance, and Life Skills. In addition, the Spiritual Guidance variable also has a significant influence on the Self-Resilience variable, while the Technology Utilization variable does not have a significant effect on the Self-Resilience variable. Drug Danger Awareness variable also does not have a significant influence on the Self-Resilience variable, as well as the Life Skills variable on the Self-Resilience variable. To build adolescent resilience begins with increasing spiritual guidance with information technology media. Optimizing the role of educators in building children’s self-resilience by utilizing information technology is very helpful in strengthening students’ self-resilience.
Ključne riječi
self-resilience; drug initiation; drug addiction; structural equation model
Hrčak ID:
233899
URI
Datum izdavanja:
20.5.2020.
Posjeta: 2.842 *