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All Journal Jurnal Ilmiah Keperawatan Imelda Jurnal Ilmiah Kebidanan Imelda
Mardiah Mardiah
Akademi Kebidanan Langkat
Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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PENDETEKSIAN RESIKO AUTIS PADA ANAK MENGGUNAKAN PEMETAAN M-CHAT-R Mardiah Mardiah; Musdalina Musdalina
Jurnal Ilmiah Kebidanan Imelda Vol. 11 No. 1 (2025): Jurnal Ilmiah Kebidanan Imelda
Publisher : Program Studi S1 & DIII-Kebidanan Universitas Imelda Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52943/jikebi.v11i1.1788

Abstract

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by difficulties in social interaction, communication, and behavior. Early detection of ASD is important for appropriate intervention. This study aims to detect the risk of autism in children aged 16-30 months in Langkat Regency using the M-CHAT-R (Modified Checklist for Autism in Toddlers-Revised) instrument. Methods: This study is a cross-sectional study conducted on 50 children aged 16-30 months who were screened using M-CHAT-R. The analysis was performed using chi-square and Fisher's tests to examine the relationship between gender, premature birth, low birth weight (LBW), family history of autism, and seizure history (epilepsy) with ASD risk. Results: The results showed that male gender was a significant risk factor for ASD (P<0.001). Other factors such as family history of autism, LBW, and seizure history did not show a significant association with ASD (P>0.05). A total of 10% of the children had LBW, and 6% were born prematurely. Conclusion: Male gender is a significant risk factor for ASD, with boys being 1.4 times more at risk compared to girls. Furthermore, no significant correlation was found between family history of autism, LBW, premature birth, or seizure history with ASD. Further research is needed to explore the genetic and environmental factors contributing to ASD in Indonesia.
Efektivitas Model Edukasi M-Chat berbasis ChatGPT untuk Pendeteksian Autis pada Anak Mardiah Mardiah; Musdalina Musdalina
Jurnal Ilmiah Keperawatan IMELDA Vol. 11 No. 2 (2025): Jurnal Ilmiah Keperawatan IMELDA
Publisher : Program Studi S1/DIII-Keperawatan Universitas Imelda Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52943/jikeperawatan.v11i2.2008

Abstract

Early detection of autism in children aged 16–30 months is crucial for timely intervention and improved developmental outcomes. This study aims to analyze the effectiveness of the ChatGPT-based M-CHAT educational model in enhancing parental knowledge and assisting with the completion of the Modified Checklist for Autism in Toddlers (M-CHAT). This model is designed as an interactive assistant that provides explanations about autism, the function of the M-CHAT, and guidelines for self-completion and initial interpretation of screening results. The research method employs a quasi-experimental approach with a pre-test and post-test design involving 60 parent respondents. The research instrument consisted of a 1-5 Likert scale questionnaire measuring three domains: knowledge about autism and M-CHAT, self-completion ability, and satisfaction and usability of the model. Validity was analyzed using Pearson correlation, reliability using Cronbach's alpha, and effectiveness was tested using a paired sample t-test. The results showed that all questionnaire items were valid and reliable. The average pre-test scores in the domains of knowledge, completion, and usability significantly increased in the post-test (p < 0.001). Thus, the ChatGPT-based M-CHAT educational model is effective in improving parents' understanding, self-completion ability, and user satisfaction and can be used as a tool for early autism screening.
Co-Authors Musdalina Musdalina