Yeyen Wulandari Dhanio, Runjati Runjati, A. Suwondo, Kurnianingsih Kurnianingsih, S. Sudiyono
{"title":"The effectivity of mindfulness-based art therapy application-based artificial intelligence on the mental health of pregnant women","authors":"Yeyen Wulandari Dhanio, Runjati Runjati, A. Suwondo, Kurnianingsih Kurnianingsih, S. Sudiyono","doi":"10.30595/medisains.v21i1.16097","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":52913,"journal":{"name":"Medisains","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Medisains","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30595/medisains.v21i1.16097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.