Open AccessThe Effectiveness of Android-Based Mobile Applications Authorized Early Detection on User Satisfaction (Parents, Health Empowerment, Teacher)
Author(s) -
Donni Prakosha,
Supriyadi Supriyadi,
Vania Martha Yunita
Publication year - 2021
Publication title -
international journal of multicultural and multireligious understanding
Language(s) - English
Resource type - Journals
ISSN - 2364-5369
DOI - 10.18415/ijmmu.v8i9.2994
Subject(s) - empowerment , android (operating system) , autism , nonprobability sampling , user satisfaction , bivariate analysis , psychology , applied psychology , medical education , computer science , multimedia , medicine , developmental psychology , environmental health , population , human–computer interaction , machine learning , political science , law , operating system
The 4.0 era education system requires the use of technology in pre-school and school activities. This study focuses on comparing the use of androin-based mobile applications for early detection of autism on user satisfaction (parents, health empowerment, teacher). This study was a quasi-experimental study with a post-test only control group design. A total of 30 parents, 30 health empowerment, and 30 educators in the city of Surakarta who were selected by purposive sampling were used as research samples. The samples were classified into two groups, namely by using an android-based mobile application for early detection of autism. User satisfaction data is collected through a user satisfaction questionnaire. Data were analyzed using univariate and bivariate with mann withney in the SPSS program. The results showed the influence of androin-based mobile applications early detection of autism on user satisfaction. The satisfaction of teaching staff users is higher than that of health empowerment and parents.