The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women
| Autor: | Yeyen Wulandari Dhanio, Runjati Runjati, Ari Suwondo, Kurnianingsih Kurnianingsih, Sudiyono Sudiyono |
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| Jazyk: | English<br />Indonesian |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Medisains, Vol 21, Iss 1, Pp 18-23 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1693-7309 2621-2366 |
| DOI: | 10.30595/medisains.v21i1.16097 |
| Popis: | Background: The COVID-19 pandemic has become a new stressor with significant pregnancy consequences, limiting access to health services. Mindfulness-Based Art Therapy (MBAT) has been proven to intervene in the body-mind-soul and improve mental health problems. However, no research has developed it into a form of artificial intelligence for use by pregnant women in supporting the current situation of access to health services. Purpose: This study aims to produce a system of MBAT based on artificial intelligence for early detection and to prove the effectiveness of improving mental health in pregnant women. Methods: This study employed Research & Development consisting of 4 stages, namely Literature Study, Development Stage, Validity Expert, and Trial. Results: The MBAT application has five features, from mental health information to history. The validity score of the application system is 87.33%. The trial results showed that the application effectively reduces stress levels by 91.26% and anxiety by 90.24%. Also, the application can predict the percentage reduction in stress and anxiety levels correctly and without errors using the decision tree. Conclusion: This application is helpful for pregnant women and health workers in detecting stress and anxiety levels early in pregnancy and improving mental health. |
| Databáze: | Directory of Open Access Journals |
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