The Mount Seulawah Agam area is an active volcanic area that has an impact on the emergence of symptoms of volcanism. Such environmental conditions will cause the vegetation that grows in the area to be unique and not commonly found in other areas. Apart from that, the area is still relatively natural and has not experienced much disturbance by human activities. This study aims to determine the composition and similarity of vegetation types in the geothermal area of Mount Seulawah Agam, Aceh Besar District. Data collection in the field was carried out using the multiple square method which was placed in a stratified sampling based on the specified soil temperature zone. Each zone was laid out in 4 square plots in a systematic random manner. Each plant contained in the observation plot is recorded in the name of the plant species using a flora identification book, and the number of individuals of each type is recorded. Data analysis was carried out using the Important Value Index analysis, and the Sorenson Similarity Index. The results showed that there were 65 species from 611 individual plants identified starting from the growth rate of seedlings, sapling, poles, and trees. The similarity index of plant species at each growth stage in the Seulawah Agam geothermal area, Aceh Besar District generally has different species similarity in each observation zone, that is, the average is below 50%. This condition indicates that there are significant differences in plant structure at various growth rates in each zone

The area of mount Seulawah Agam is an area of active volcano paths that impact the appearance of volcanic symptoms, that will affect the species of plants that grow in the area. This study aims to determine the potential of medicinal plant species and their diversity in the geothermal area of Seulawah Agam, Aceh Besar district. The data collection was carried out using multiple square plots placed using stratified sampling based on the soil temperature zone at a predetermined. Each area is set on four impartial actions in systematic random. The name of the species and its individual quantity of each potential plant was documented and analyzed accordingly. Then, they were analyzed based on scientific journals and identification books for medicinal plants. Data analysis was performed using importance value index and Diversity Index. The study found there were 32 species of 21 families of medicinal plants were identified started from the growth rates of seedlings, saplings, poles, and trees. The medicinal plants' diversity index analysis at each growth rate is classified into the medium category. Based on literature studies, plants' parts are commonly used as medicines such as leaves roots, sap, bark, and flowers. Utilization can be used to treat a variety of diseases and illnesses, as well as a parasitic infection. The result shows that the geothermal area of Seulawah Agam in Aceh Besar district has excellent resources and potential for medicinal plants that become used for the benefit of the surrounding community: they need to be maintained so that they still be beneficial for future generations.