USER ACCEPTANCE OF ARTIFICIAL INTELLIGENCE-BASED DENTAL SCREENING APPLICATION IN THE SCHOOL DENTAL HEALTH PROGRAM AT KEBAYORAN BARU HEALTH CENTER

The Senyumin application, an AI-based dental screening tool, was introduced within the School Dental Health Program but faced limited adoption. This study aimed to evaluate the acceptance of the Senyumin application, focusing on perceived ease of use and perceived usefulness. An action research sequential exploratory design was employed from April 24th to May 21st, 2024, at Kebayoran Baru Health Center and 3 elementary schools. The research involved 30 health workers and 351 parents of students. Initial thematic analysis of Senyumin 1.0 identified issues related to complexity and user adaptation, guiding the development of Senyumin 2.0. Quantitative analysis, using linear regression and guided by the Technology Acceptance Model (TAM), examined the relationships between perceived ease of use, perceived usefulness, and user acceptance. Senyumin 2 with its improved design and features. Perceived ease of use and perceived usefulness showed the strongest correlation to user acceptance according to parents data (r= 0.923, F-test= 1008.431, p-value= 0.000) and strong correlation according to staff data (r= 0.631, F-test= 8.921, p-value= 0.001), both with p-values <0.05, indicating significant relationships. Senyumin 2.0,developed based on user feedback from version 1.0, demonstrated that perceived ease of use and perceived usefulness significantly positively influenced its acceptance.