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The purpose of this study was to assess ethnoecology and ethnomedicine as support for marine conservation in Bangsring Under Water (Bunder) Banyuwangi. This research used descriptive exploratory techniques. The samples were done using random sampling techniques. The results of ethnoecology studies are as follows: 63% of respondents knew the Bunder area as a conservation area of coral reefs; 61% of respondents stated that they have access to the socio-ecological Bunder, 79% of respondents knew how to use the fish in Bangsring village, 71% utilize fish in Bunder, 72% of respondents see the type of fish that is used by the community, 45% of respondents knew how to preserve local fish. The results of the ethnomedicine study showed that 83% of respondents knew about medicinal plants, 83% of respondents have used medicinal plants, 88% of respondents knew how to use medicinal plants, 72% of respondents never planted medicinal plants, 85% of respondents identified the plant parts used drugs, 9% respondents are interested in using medicinal plants, 81% of respondents need to cultivate medicinal plants. Bunder ecologically waters have a positive impact on people’s lives. People use these waters for tourism and livelihood as a fisherman, as a conservation area. In the Etnomedisin aspect, the community had an enthusiastic response to the medicinal plants. There are 25 species of medicinal plants used by the community as a medicine. The survival of medicinal plants in Bangsring Village is weel guaranteed due to the high interest of the community to keep the sustainability of medicinal plants.

Multivariate analysis is applied to investigate geochemistry of several trace elements in top soils and their relation with the contamination source as the influence of coal mines in Jorong, South Kalimantan. Total concentration of Cd, V, Co, Ni, Cr, Zn, As, Pb, Sb, Cu and Ba was determined in 20 soil samples by the bulk analysis. Pearson correlation is applied to specify the linear correlation among the elements. Principal Component Analysis (PCA) and Cluster Analysis (CA) were applied to observe the classification of trace elements and contamination sources. The results suggest that contamination loading is contributed by Cr, Cu, Ni, Zn, As, and Pb. The elemental loading mostly affects the non-coal mining area, for instances the area near settlement and agricultural land use. Moreover, the contamination source is classified into the areas that are influenced by the coal mining activity, the agricultural types, and the river mixing zone. Multivariate analysis could elucidate the elemental loading and the contamination sources of trace elements in the vicinity of coal mine area.