PENERIMAAN SISTEM PENGUATKUASAAN AUTOMATIK (AES) DALAM KALANGAN PEMANDU MENGGUNAKAN MODEL PENERIMAAN TEKNOLOGI
DOI:
https://doi.org/10.11113/jt.v75.3788Keywords:
Automatic enforcement system, technology acceptance model, regression analysisAbstract
Road accidents are common issues each year. Human factors are the highest contributing factor to the road accidents which are mostly from the drivers’ attitude such as excessive speeding. To mitigate this problem, a government has been implemented Automated Enforcement System (AES). This study aims to identify the factors that contributed to the AES acceptance among drivers and the acceptance level of AES based on Technology Acceptance Model (TAM). The correlation and regression analysis were used in this study. The questionnaire survey was designed based on the Driver Behavior Questionnaire (DBQ) and TAM. A self-administered questionnaire was distributed among 226 car driver as a respondent. The results show that the most dominant factor is perceived easy of acceptance compared with the acceptance level of respondent towards AES. Therefore, the authority might able to adapt and continue using AES monitoring method as a measure to carry out traffic offence enforcement activities.
References
Ghadiri, S. M. R., Prasetijo, J., Sadullah, A. F., Hoseinpour, M. and S. Sahranavard. 2013. Intelligent Speed Adaptation: Preliminary Result of On-road Study in Penang Malaysia. IATSS Research. 36: 106-114.
Soole, D. W., Watson, B. R. and Fleiter, J. J. 2013. Effects Of Average Speed Enforcement on Speed Compliance and Crashes: A Review of the Literature. Accident Analysis and Prevention. 54: 45-56.
Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly. 13: 319-340.
Ambak, K., Ismail, R., Abdullah, R. A., Latif, A. A. and Sanik, M. E. 2013. Application of Technology Acceptance Model in Predicting Behavioral Intention to Use Safety Helmet Reminder System. Research Journal of Applied Science, Engineering and Technology. 5(3): 881-888.
Reason, J. T., Manstead, A. S. R., Stradling, S. G., Baxter, J. S. and K. Campbell. 1990. Errors and Violations on the Road: a Real Distinction? Ergonomics. 33: 1315-1332.
Krejcie, R. V. and Morgan, D. W. 1970. Determining Sample Size for Research Activities. Educational and Psychological Measurement. 20: 607-610.
Bland, J. M. and Atlman, D. G. 1997. Statistics Notes: Cronbach’s alpha. British Medical Journal. 314: 572.
Chen, D. C., Yi, W. F. and Cheng, K. F. 2007. Predicting Electronic Collection Service Adoption: An Integration of the Technology Acceptance Model and Theory of Planned Behavior. Transportation Research Part C. 15: 300-3.
Polis Diraja Malaysia. 2012. Laporan Perangkaan Kemalangan Jalan Raya Malaysia 2011. Ibu Pejabat PDRM. Cawangan Bukit Aman: Malaysia.
Isah, N., Saleh, S., Musa, M., Kee, L.S. and Jailiani, A. S. 2012. A Perception Study on the Efficacy of Traffic Enforcement from the Road User’s Perspective: Malaysia Institute Road of Safety Research, Selangor.
Jabatan Penerangan Malaysia. 2013. Sistem Penguatkuasaan Automatik (AES). Malaysia: Jabatan Penerangan Malaysia.
Ajzen, I. and Fishbein, M. 1975. Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley, Reading, Massachusetts.
Said, M, M, S., 2013. Kajian Hubungan Antara Sikap Psikologi Pemandu Dan Kemalangan Jalan Raya Di Batu Pahat.Universiti Tun Hussein Onn Malaysia, Tesis Sarjana Muda.
Austroads. 1994. Road Safety Audit. Austroad: Sydney, Australia
Mangkau, I. D. 2012. Penguasaan Kemahiran Komunikasi Dalam kalangan Pelajar Universiti. Prosiding Seminar Pendidikan Pasca Ijazah dalam PTV Kali Ke-2. Universiti Tun Hussein Onn Malaysia. 40-59.
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