Penelitian ini bertujuan untuk mengetahui faktor-faktor yang paling berpengaruh terhadap penerimaan pengguna aplikasi E-Uji Emisi oleh masyarakat Provinsi Jakarta, mengingat angka pengguna aplikasi tersebut masihminim. Teknik analisis data kuantitatif dengan menggunakan regresi linier berganda dan kualitatif mengunakan illustrarive method. Dalam menganalisis faktor-faktor yang paling memengaruhi penerimaan pengguna aplikasi E-Uji Emisi masyarakat Provinsi Jakarta, penelitian ini menggunakan Unified Theory of Acceptance and Use Techonoly 2 (Venkatesh et al, 2012) yang meliputi beberapa dimensi seperti Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Condition, Hedonic Motivation, Price Value, dan Habit. Hasil penelitian menunjukkan bahwa faktor yang paling memengaruhi penerimaan pengguna aplikasi E-Uji Emisi oleh masyarakat Provinsi Jakarta adalah Habit, Hedonic Motivation, dan juga Effort Expectancy. Pernyataan tersebut berdasarkan hasil olah data melalui Uji F pada masing-masing variabel independen terhadap variabel dependen.

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This research aims to determine the most influential factors affecting the acceptance of the E-Uji Emisi application by the residents of Jakarta Province, given its low user adoption rate. Quantitative data analysis was conducted using multiple linear regression, complemented by qualitative analysis using the illustrative method. In examining the factors influencing acceptance of the E-Uji Emisi application among Jakarta residents, this study employed the Unified Theory of Acceptance and Use of Technology 2 (Venkatesh et al., 2012), encompassing dimensions such as Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit. The research findings indicate that the factors most influencing the acceptance of the E-Uji Emisi application by Jakarta residents are Habit, Hedonic Motivation, and Effort Expectancy. These conclusions are based on the results of data analysis using the F-test for each independent variable against the dependent variable.