The Malaysian government allocates significant subsidies to maintain the affordability of RON95 fuel for its citizens. However, increasing incidents of foreign-registered vehicles purchasing RON95 have raised concerns regarding subsidy leakage and policy inefficiency. The absence of real-time monitoring and public reporting mechanisms further hampers efforts to control these violations. This innovation outlines the framework of the development and implementation of a community-based digital monitoring system, RON95 Watch, which empowers citizens to report violations in real-time. The framework is used to propose a mobile platform for monitoring and reporting unauthorized purchases of RON95 by foreigners. This system is hoped to enhance transparency and accountability in the distribution of fuel subsidies. The system will utilize a mobile application, artificial intelligence (AI)-powered license plate recognition, and direct integration with enforcement agencies to ensure timely intervention. The implementation will be divided into three phases: the development and pilot testing, the nationwide rollout, and the integration and policy support. The novelty of the RON95 Watch lies in its integrated, citizen-centric approach to subsidy enforcement. The initiative aims to protect national interests, promote fairness, and enhance the effectiveness of fuel subsidy enforcement. Even though this is a framework of the real system, the idea of the monitoring system for the prevention of unauthorized RON95 purchases is a small step to a bigger implementation.
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Mohamed Yusof, Noreha UNSPECIFIED Mohd Yusop, Noorezatty UNSPECIFIED Amit, Norani UNSPECIFIED Mahad, Nor Faradilah UNSPECIFIED Mohd Razali, Nur Hidayah UNSPECIFIED Idris, Noor Aisyah UNSPECIFIED |
| Subjects: | A General Works > Academies and learned societies (General) H Social Sciences > HB Economic Theory. Demography > Business cycles. Economic fluctuations. Economic indicators > Economic forecasting H Social Sciences > HD Industries. Land use. Labor > Petroleum industry and trade |
| Divisions: | Universiti Teknologi MARA, Negeri Sembilan |
| Page Range: | pp. 247-250 |
| Keywords: | RON95, artificial intelligent, RON95 Watch |
| Date: | 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/146107 |
146107.pdf
