# Virtual Reality-Based Spiritual Emotional Freedom Technique (SEFT) Model on Spiritual Well-Being and BDNF Levels in Drug Inmates in The Class 1 State Prison in Makassar
> Saharullah

URL kanonis: https://discover.unhas.ac.id/publications/virtual-reality-based-spiritual-emotional-freedom-technique-seft-model-on-spirit
Jurnal / Konferensi: Pakistan Journal of Life and Social Sciences
Tahun terbit: 2024
DOI: https://doi.org/10.57239/pjlss-2024-22.2.00216
ISSN: 17274915
Citations: 1

## Authors
- Saharullah

## Abstract
The complex problem of drug abuse has triggered the development of nonpharmacological therapies, including Spiritual Emotional Freedom Technique (SEFT) and Virtual Reality (VR).The merger of the two, VR-SEFT, shows positive potential in reducing and improving spiritual wellbeing in drug users.The purpose of this study is to explain the Spiritual Emotional Freedom Technique (VR-SEFT) Model for spiritual well-being and BDNF levels in drug inmates.Method.This study uses quantitative and quasi-experimental methods (Quasi Experiment Design).The number of samples was 33 inmates in the control group and 33 inmates in the intervention group.The Spiritual Well-Being Scale (SWBS) and BDNF levels were measured using Elisa.In this study, data analysis used the Statistical test paired sample t-test, Wilcoxon test, Independent Sample ttest, Man Whitney test, and Pearson Correlation test.Result.VR-SEFT research influences spiritual well-being (p=0.011) and BDNF (<0.001); there is a meaningful correlation between spiritual well-being and BDNF in drug inmates in class 1 prison in Makassar.Conclusion.VR-SEFT therapy is effective in increasing spiritual well-being and BDNF levels in drug inmates in the Makassar Class 1 Detention Center.The intervention group was more responsive than the control group.These findings have the potential to support the development of further interventions in similar populations

## Keywords
- Prison
- Class (philosophy)
- Psychology
- State (computer science)
- Computer science
- Criminology
- Artificial intelligence
- Algorithm

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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