Prediction of petrol using data visualization

The prediction of petrol prices in Malaysia is a crucial aspect for individuals, businesses, and policymakers in planning their budgets, and making informed decisions. This project aims to identify data requirements and techniques for the prediction of petrol price data. Next, to develop an interactive dashboard to visualize the historical and petrol price data and fuel stations in Malaysia. Lastly, to evaluate users' experience of this system by utilizing User Experience Testing (UXT). The method used for this study is design science research methodology (DSRM) design science research methodology (DSRM) methods. The tools used in this study are Power BI for dashboard development and Notepad++ for website development. From the User Experience Testing, we can conclude that all users agree that the system is attractive, perspicuity, efficient, dependable, stimulative, and novelty.