Quantitative analysis in early detection of drug abuser relapse: effectiveness of data-driven predictive models

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Marryo Borry WD
Rima Semiarty
Hasbullah Tabranny
Effa Yonnedi

Abstract

The purpose of this study is to analyze the description of early detection of relapse in drug abuse and to see the relationship between factors that significantly influence relapse in drug abuse. This study uses a quantitative design to describe the implementation of early detection of relapse prevention in drug abuse in Padang City and determine the determinants that are most related to the occurrence of relapse. The results of the statistical test showed that the variables of age, gender, education level, and marital status had a p > value of 0.05, which means that there was no relationship between these variables and the incidence of relapse in drug abusers. However, the variable of employment status had a p < value of 0.05, indicating a relationship between employment status and the incidence of relapse in drug abusers. Furthermore, the variables of age, education level, and employment status met the assumption test with the condition of p < 0.25 at the next stage. The results of the statistical test showed that there was no relationship between the variables of age, gender, education level, and marital status with the incidence of relapse in drug abusers (p > 0.05). However, there was a relationship between employment status and the incidence of relapse (p < 0.05). In addition, the variables of age, education level, and employment status met the assumption test at the next stage (p < 0.25).

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How to Cite
WD, M. B., Semiarty, R., Tabranny, H. and Yonnedi, E. (2025) “Quantitative analysis in early detection of drug abuser relapse: effectiveness of data-driven predictive models”, Science Midwifery, 12(6), pp. 1875-1883. doi: 10.35335/midwifery.v12i6.1811.

References

Ahwan, A., Musta’an, M., & Suwarni, A. (2021). Efforts to Improve Student Understanding in Utilizing the Efficacy and Safety of Traditional Drugs at SMK Putra Bangsa Salatiga. SPEKTA, 2(1), 41–48.
Akintola, O., Gwelo, N. B., Labonté, R., & Appadu, T. (2016). The global financial crisis: experiences of and implications for community-based organizations providing health and social services in South Africa. Critical Public Health, 26(3), 307–321.
Boroumand, N., Samarghandian, S., & Hashemy, S. I. (2018). Immunomodulatory, anti-inflammatory, and antioxidant effects of curcumin. Journal of HerbMed Pharmacology, 7(4), 211–219. https://doi.org/10.15171/jhp.2018.33
Çop, S. (2021). Achieving environmental sustainability through green transformational leadership policy: Can green team resilience help? Business Strategy and the Environment, 30(1), 671–682. https://doi.org/10.1002/bse.2646
Dewi, M., & Ruidahasi, T. (2020). The role of self-efficacy, positive affect and social support on drug residents’ resilience. Proceedings of the 1st International Conference on Religion and Mental Health, ICRMH 2019, 18-19 September 2019, Jakarta, Indonesia.
Dolev-Cohen, M., Ricon, T., & Levkovich, I. (2020). # WhyIDidntReport: Reasons why young Israelis do not submit complaints regarding sexual abuse. Children and Youth Services Review, 115, 105044.
Gupta, T. (2018). Psychological management of bereavement among adolescents: A case series. Journal of Indian Association for Child and Adolescent Mental Health, 14(2). https://doi.org/10.1177/0973134220180208
Harding, J. F., Morris, P. A., & Hughes, D. (2015). The relationship between maternal education and children’s academic outcomes: A theoretical framework. Journal of Marriage and Family, 77(1), 60–76.
Hemalatha, M., & Visantini, P. (2020). Potential use of eco-enzyme for the treatment of metal based effluent. IOP Conference Series: Materials Science and Engineering, 716(1). https://doi.org/10.1088/1757-899X/716/1/012016
Hikmah Harun, N., & Firdaus Mohamad, M. (2022). The Immunomodulatory effects of Zingiber officinale (Ginger): A Systematic Review. Research Journal of Pharmacy and Technology, 3776–3781. https://doi.org/10.52711/0974-360x.2022.00634
Ibna, F. (2018). Factors That Influence Writing in English Language Classrooms: A Case Study of a Secondary School in the Maldives. International Journal of Social Research and Innovation, 2(1), 19–36. https://doi.org/10.55712/ijsri.v2i1.25
Kose, R. (2020). Just Keep Going - Polyphony. Gentle Activism for Collective Survival. The Journal of Public Space, Vol. 5 n. 4. https://doi.org/10.32891/jps.v5i4.1422
Lis, M., & Szyszka, M. (2020). Innovation and Entrepreneurship : Theory and Practice. Logos Verlag Berlin.
MacLachlan, M., Banes, D., Bell, D., Borg, J., Donnelly, B., Fembek, M., Ghosh, R., Gowran, R. J., Hannay, E., & Hiscock, D. (2018). Assistive technology policy: a position paper from the first global research, innovation, and education on assistive technology (GREAT) summit. Disability and Rehabilitation: Assistive Technology, 13(5), 454–466.
Mildawati, R., Nugroho, B. P., Prasetyawan, F., Kristijono, A., Saristiana, Y., Oktadiana, I., & Imran, A. K. (2023). Virtual socialization about the use of family medicinal plants as an alternative for treatment. Assoeltan: Indonesian Journal of Community Research and Engagement, 1(2), 99–106.
Millner, N. (2021). Unsettling feelings in the classroom: scaffolding pedagogies of discomfort as part of decolonising human geography in higher education. Journal of Geography in Higher Education. https://doi.org/10.1080/03098265.2021.2004391
Motsumi, M. J., Mashalla, Y., Sebego, M., Ho-Foster, A., Motshome, P., Mokokwe, L., Mmalane, M., & Montshiwa, T. (2020). Developing a trauma registry in a middle-income country – Botswana. African Journal of Emergency Medicine, 10. https://doi.org/10.1016/j.afjem.2020.06.011
Okunade, A. A., & Osmani, A. R. (2020). Effects of life expectancy on economic growth: new results using the flexible Box–Cox power transformation model. Applied Economics Letters, 27(20), 1681–1684. https://doi.org/10.1080/13504851.2020.1713976
Sethi, V., Yadav, S., Agrawal, S., Sareen, N., Kathuria, N., Mishra, P., Kapoor, J., & Dureja, S. (2019). Incidence of Side-effects After Weekly Iron and Folic Acid Consumption Among School-going Indian Adolescents. Indian Pediatrics, 56, 33–34.
Solihat, E., Komariah, S., & Nurbayani, S. (2022). CHILD SEXUAL ABUSED IN THE PERSPECTIVE OF SOCIAL CONTROL. Proceedings of International Conference Sociology, University of Mataram, 466–475.
Sufredini, F., Moré, C. L. O. O., Krenkel, S., & Crepaldi, M. A. (2022). Narratives of mothers whose children had been sexually abused: maternal reactions and comprehension regarding child and adolescent sexual abuse. Journal of Interpersonal Violence, 37(5–6), NP3320–NP3345.
Suzabar, D. F., Soelton, M., Umar, M., & Triwulan, J. (2020). Recognizing how the time demands of work influences the turnover intention in banking industry. 4th International Conference on Management, Economics and Business (ICMEB 2019), 40–45.
Wininger, S. R., Redifer, J. L., Norman, A. D., & Ryle, M. K. (2019). Prevalence of learning styles in educational psychology and introduction to education textbooks: A content analysis. Psychology Learning & Teaching, 18(3), 221–243.
Yunda Sari, F., Sapta Pranoto, Y., Purwasih, R., Agribisnis, J., & Pertanian Perikanan dan Biologi, F. (2020). Analysis of Salted Fish (Case Study of Rebo Village, Sungailiat District, Bangka District) Analisis Usaha Ikan Asin (Studi Kasus Desa Rebo Kecamatan Sungailiat Kabupaten Bangka). Jurnal of Integrated Agribusiness, 2(1), 20–36. https://doi.org/10.33019/jia.v2i1.xxxx
Zhu, Z., Deng, Z., Wang, Q., Wang, Y., Zhang, D., Xu, R., ... & Wen, H. (2022). Simulation and Machine Learning Methods for Ion-Channel Structure Determination, Mechanistic Studies and Drug Design. Frontiers in Pharmacology, 13, 939555.