PENERIMAAN SISTEM PENGUATKUASAAN AUTOMATIK (AES) DALAM KALANGAN PEMANDU MENGGUNAKAN MODEL PENERIMAAN TEKNOLOGI

Roslia, Naida; Ambak, Kamarudin; Danial, Basil David; Prasetijo, Joewono · 2015 · Crossref

DOI: 10.11113/jt.v75.3788

archive: archived pipeline: cataloged verified

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Summary

This study investigates the acceptance of the Automated Enforcement System (AES) among drivers in Malaysia, a government initiative implemented to mitigate road accidents caused by human factors such as excessive speeding. With road accidents remaining a significant issue, the research aims to identify the factors contributing to driver acceptance of AES and determine the overall acceptance level using the Technology Acceptance Model (TAM). The study specifically examines whether acceptance is driven more by Perceived Usefulness or Perceived Ease of Use. The methodology involved a quantitative survey design based on the Driver Behavior Questionnaire (DBQ) and TAM. A self-administered questionnaire was distributed to 300 potential respondents in Johor, Malaysia, yielding 226 valid responses from car drivers aged 20 to over 50. The sample included a nearly equal gender split (50.4% male, 49.6% female) and predominantly Malay ethnicity (48.7%). Most respondents held Class D licenses and had over 10 years of driving experience. Data were analyzed using SPSS version 22.0, employing correlation and regression analyses to test relationships between TAM constructs: Perceived Usefulness, Perceived Ease of Use, Behavioral Intention, and Behavioral Acceptance. The results indicate that all independent variables showed significant positive linear correlations with the dependent variables. Regression analysis revealed that both Perceived Usefulness and Perceived Ease of Use significantly influenced the intention to accept AES. However, Perceived Ease of Use ($\beta = 0.183$) had a slightly stronger impact on intention than Perceived Usefulness ($\beta = 0.181$). Furthermore, Perceived Ease of Use strongly influenced Perceived Usefulness ($\beta = 0.516, p<.05$), suggesting that if drivers find the system easy to accept, they are more likely to perceive it as useful. Behavioral intention also significantly predicted behavioral acceptance ($\beta = 0.277, p<.001$). Overall, 53% of respondents expressed positive support for the AES implementation. The study concludes that Perceived Ease of Use is the dominant factor in driver acceptance of AES, indicating that drivers believe the system imposes minimal burden while providing benefits. The findings suggest that authorities can continue and adapt AES monitoring methods as an effective traffic enforcement tool. The positive acceptance aligns with international studies showing high compliance with speed enforcement systems in other countries. This research provides empirical evidence supporting the efficacy of AES in improving road safety through driver behavioral change.

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• acceptance adoption

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• Empirical Findings: self report data, observational prevalence