The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women
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 i...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Muhammadiyah Purwokerto
2023-04-01
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| Series: | Medisains |
| Subjects: | |
| Online Access: | https://jurnalnasional.ump.ac.id/index.php/medisains/article/view/16097 |
| _version_ | 1797837819940438016 |
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| author | Yeyen Wulandari Dhanio Runjati Runjati Ari Suwondo Kurnianingsih Kurnianingsih Sudiyono Sudiyono |
| author_facet | Yeyen Wulandari Dhanio Runjati Runjati Ari Suwondo Kurnianingsih Kurnianingsih Sudiyono Sudiyono |
| author_sort | Yeyen Wulandari Dhanio |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-09T15:30:49Z |
| format | Article |
| id | doaj.art-16410ad627ea4e009df9205a24798b4d |
| institution | Directory Open Access Journal |
| issn | 1693-7309 2621-2366 |
| language | English |
| last_indexed | 2024-04-09T15:30:49Z |
| publishDate | 2023-04-01 |
| publisher | Universitas Muhammadiyah Purwokerto |
| record_format | Article |
| series | Medisains |
| spelling | doaj.art-16410ad627ea4e009df9205a24798b4d2023-04-28T07:26:45ZengUniversitas Muhammadiyah PurwokertoMedisains1693-73092621-23662023-04-01211182310.30595/medisains.v21i1.160975152The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant womenYeyen Wulandari Dhanio0Runjati Runjati1Ari Suwondo2Kurnianingsih Kurnianingsih3Sudiyono Sudiyono4Poltekkes Kemenkes SemarangPoltekkes Kemenkes SemarangPoltekkes Kemenkes SemarangPoliteknik Negeri SemarangPoltekkes Kemenkes SemarangBackground: 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.https://jurnalnasional.ump.ac.id/index.php/medisains/article/view/16097mindfulnesspregnancyanxiety |
| spellingShingle | Yeyen Wulandari Dhanio Runjati Runjati Ari Suwondo Kurnianingsih Kurnianingsih Sudiyono Sudiyono The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women Medisains mindfulness pregnancy anxiety |
| title | The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women |
| title_full | The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women |
| title_fullStr | The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women |
| title_full_unstemmed | The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women |
| title_short | The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women |
| title_sort | effectivity of mindfulness based art therapy application based artificial intelligence on the mental health of pregnant women |
| topic | mindfulness pregnancy anxiety |
| url | https://jurnalnasional.ump.ac.id/index.php/medisains/article/view/16097 |
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