Quality Factors of Intention To Use in Artificial Intelligence-Based AIKU Applications

Abstract

Air Quality Artificial Intelligence (AIKU) is an Android-based application that allows individuals to check air conditions using their smartphones. This study aims to evaluate the application of Artificial Intelligence Air Quality (AIKU) based on user perceptions and evaluate how this affects the user's intention to utilize the Halal MUI application. Quantitative research methods were applied in this investigation. The data collection instrument was a questionnaire which was divided into four parts: introduction, explanation of the AIKU application, personal information of the respondent, and the core, which contains questions about the quality of the MUI Halal application. Multiple linear regression analysis examines the relationship between quality characteristics and usage decisions. Based on the research findings, the average quality score is 3.08 on a scale of 4.00, indicating that users perceive the AIKU application as a high-quality application. The results of the model reliability test with the F test show that the estimated linear regression model can be used to describe the effect of smartphone application quality on usage decisions. The t-test findings for the three quality variables show that the three Webqual 4.0 variables significantly influence the user's intention to use AIKU applications in the future. The characteristics of usability, information quality, and service interaction can explain 43.7% of the intention to use AIKU applications.