This study aims to test the effectiveness of Neurofeedback Training in overcoming cognitive and behavioral problems in children with autism. The hypothesis that is done is Neurofeedback Training which is effective in overcoming cognitive and behavioral in children with autism. This study used a Quasi Experiment One Group Pretest-Posstest Design. The sampling technique was using purposive sampling and the sample in the study was 1 person. The research instrument is a measurement of brain wave activity called Electroencephalography. Data analysis in this study resulted in two types of data, namely quantitative and qualitative. The resulting quantitative data are the results of the scores and graphs of measuring the brain waves of children with autism through Neurofeedback and qualitatively obtained from the results of the assessment using DSM V, the results of parent interview reports, and the results of observations. The hypothesis proposed is that Neurofeedback Training is effective in overcoming cognitive and behavioral problems in children with autism. The conclusions in this study are: 1. Neurofeedback training is effective in overcoming cognitive problems in children with autism, this is indicated by an increase in the Beta value of 13 Hz. 2. Neurofeedback Training is effective in overcoming behavioral problems in children with autism, this is shown by increasing the Sensorymotor Rhytm (SMR) value of 5 Hz. 3. Neurofeedback Training is effective in overcoming cognitive and behavioral problems in children with autism, this is shown by increasing the Alpha value of 18 Hz, the Sensorymotor Rhytm value of 5 Hz and the Beta value of 13 Hz. Based on the conclusion, the proposed hypothesis is accepted. For future researchers who want to research Neurofeedback, they can use a wider range of research subjects in children with special needs with different disorders.
This study aims to test the effectiveness of Neurofeedback Training in overcoming communication problems and stress in children with autism. This study used a Quasi Experiment One Group Pretest-Posttesta Design method. The sampling technique was using purposive sampling and the research sample was 1 person. Methods of data collection in this study using a brain wave effectiveness measurement instrument called Electroencephalography. The data analysis in this research resulted in two types of data, namely qualitative data and quantitative data. Quantitative data is the result of scores and graphs of measuring brain waves of autistic children through Neurofeedback, while qualitative data is the result of assessment using DSM V, observation results, reports and interviews. The hypothesis proposed is that Neurofeedback Training is effective in overcoming communication problems and stress in children with autism. and the conclusions in this study are: 1. Neurofeedback training effectively improves communication in children with autism, this is shown by increasing the SMR value from 3Hz to 5Hz. 2. Neurofeedback training is effective in reducing stress in children with autism, this is addressed through the Deff ratio of the balance between the left brain and the right brain which was initially 15% to 3.5%. 3. Neurofeedback training effectively improves communication and reduces stress in children with autism, this is addressed through the Alfha results of 18Hz, 5Hz Sensorymotor Rhytim value and 13Hz Beta value, Deff The balance ratio of the left brain and right brain which was initially 15% to 3.5%. Based on this conclusion, the proposed hypothesis is accepted. And for future researchers who want to research Neurofeedback can use more subjects and on different disorders not only in children with autism.
This This study aims to test the effectiveness of Neurofeedback Training to overcome emotional problems and social interactions of children with autism. This study used a Quasi Experiment One Group Pretest - Posttest Design method. The sampling technique used Purposive Sampling and the research sample was 1 person. The research instrument is a measurement of brain wave activity called Electroencephalography. The data analysis of this research resulted in two types of data, quantitative and qualitative data. Quantitative data is the result of scores and graphs of measuring brain waves of autistic children through Neurofeedback and qualitative data is the result of assessment using DSM V, observation results and interview reports. The hypothesis proposed is that Neurofeedback Training is effective in overcoming emotional problems and social interactions in children with autism. The conclusions in this study are: 1. Neurefeedback training is effective in overcoming emotional problems of children with autism, this is shown by increasing the Alpha value of 18 Hz. 2. Neurefeedback Training is effective in overcoming the social interaction problem of children with autism, this is shown by increasing the Sensorymotor Rhytm value of 5 Hz. 3. Neurefeedback Training is effective in overcoming emotional problems and social interactions in children with autism, this is indicated by an increase in the Alpha value of 18 Hz, the Sensorymotor Rhytm value of 5 Hz and the Beta value of 13 Hz. Based on the conclusion, the proposed hypothesis is accepted. For future researchers who want to research Neurofeedback, they can use subjects in children with special needs with different disorders.
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