Southeast Asia is a tropical region with forestry environmental and high potential to get forest fire due to hot weather in summer season. In this research conducts a comparative analysis of mapping fire hotspot and forecasting in two countries which Indonesia and Malaysia in Southeast Asia susceptible to recurrent forest fires. Leveraging satellite imagery and advanced remote sensing techniques, the research focuses on delineating the spatial distribution of fire hotspots in both nations and utilizes forecasting models to predict future hotspot occurrences. Through meticulous analysis, the study unveils similarities and disparities in fire hotspot patterns between Indonesia and Malaysia, considering various contributing factors such as land cover, climate conditions, and anthropogenic activities. The efficacy of fire hotspot detection and forecasting methodologies in these two countries, the research elucidates valuable insights to inform targeted fire management strategies and foster cross-border collaboration for wildfire prevention. The results shows the distribution of fire hotspot both Indonesia and Malaysia within four years from 2019 to 2022. Findings underscore the importance of context-specific approaches tailored to the unique environmental and socio-economic landscapes of each country. Additionally, the research emphasizes the significance of leveraging advanced technologies and data-driven methodologies to enhance the accuracy and timeliness of fire hotspot detection and forecasting. The comparative analysis contributes to a deeper understanding of the dynamics of forest fires in Indonesia and Malaysia, offering actionable recommendations for policymakers, land managers, and stakeholders to mitigate the impacts of wildfires and safeguard the ecological integrity and socio-economic well-being of these regions.