Ferns are low-level plants whose distribution is quite wide and are often found on the campus of UIN Sunan Gunung Djati Bandung. The aim of this research is to determine the calcification and relationships of ferns that live in the campus area using direct exploration methods by observing their morphological characteristics. The data from morphological observations is then processed into a dendogrm so that relationships can be identified and read using the similarity index formula. The results of this research show that 2 divisions of ferns were found, namely pteridophyta and traceophyta. In the pteridophyta division, 1 class, 2 orders, 6 families and 9 species were found. Meanwhile, in the traceophyta division, 1 class, 1 order, 1 family and 1 species were found. The results of the kinship analysis show that the 10 species of ferns can be divided into 2 large groups based on 16 morphological traits. The relationship between species is measured using the Sorensen similarity index, which shows that several species have a relationship that is very close (? 75%), close (51-74%), not close (26-50%), and very not close (? 25%). For example, Pityrogramma calomelanos and Adiantum capillus are very closely related with a similarity index of 87.5%, while Pyrrosia piloselloides and Phymatosorus scolopendria are not closely related with a similarity index of 43%.

This research examines quantitative approaches in flower dissection, with a focus on measuring symmetry and flower structure using mathematical formulas. This research aims to develop an objective method for analyzing flower morphology to support taxonomic, evolutionary and ecological studies of plants. Data was collected through morphometric measurements on various flower species with radial and bilateral symmetry characters. Parameters measured include petal length, corolla width, spreading angle, and number of reproductive parts. The analysis was carried out using geometric formulas to calculate the symmetry index and proportions of the flower structure. The research results show that flowers with radial symmetry have a higher symmetry index value than flowers with bilateral symmetry. Additionally, variations in flower structure were found to correlate with ecological adaptations, such as pollination strategies by insects or wind. This approach successfully revealed consistent mathematical patterns in floral design, providing new insights into the relationship between structure and biological function. This study shows that quantitative approaches can increase precision in the analysis of flower morphology, while providing a new tool for exploring the evolutionary dynamics of plants. This method can be applied to cross-disciplinary research involving morphology, genetics and plant ecology.