Delivering Artificial Intelligence for Electronic Traffic Law Enforcement in Yogyakarta Region: Current Effort and Future Challenges

Abstract

Abstract Nowadays, the presence of Artificial Intelligence (AI) in the government sector has been rapidly experiencing a significant increase in its uses. Therefore, AI technology can attract the attention of several scholars to find out more deeply about the variety of its capacities. In Indonesia, the government uses AI as an instrument in formulating regulation, and focusing on managing complex data as well as its implication for accelerating activity and work. More importantly, it is very useful for decision making. In this context, as one of the adoptions of AI in the government, one of the highlights is Electronic Traffic Law Enforcement (e-TLE). E-TLE intends to handle cases of traffic violations in the Yogyakarta region (“DIY”). The high number of accidents and traffic violations in the DIY jurisdiction are a significant issue that is especially important to discuss when the presence of AI is necessary to manage them. Therefore, this paper aims to examine artificial intelligence in ‘Electronic Traffic Law Enforcement’ that overviews current efforts and future challenges of its implementation. This paper used qualitative research with explorative-oriented; it attempts to explore the meaning of information from sources that are then interpreted to obtain more in-depth insights that are easier to understand. Finally, this paper highlights the current situation and future challenges in providing public convenience in traffic. The police officer can promote the e-TLE system periodically to reduce the number of accidents and traffic violations in the DIY region.