Abstract.Mining industry is an industry with very high risk (losses). In order that mining activities can be run well, then the potential of the Earth's resources must be known for sure. one of the Earth's resources of high economic value is the iron ore. Iron ore is rarely found in a free state in nature, it is usually associated with other minerals and exposed randomly. With these properties, iron ore needs to be modeled before doing mining activities in order to avoid large losses. Iron ore deposits can be modeled with geoelectrical resistivity method. Dipole-dipole array will produce good imaging both vertically and laterally. From the measurement results of geoelectrical resistivity with dipole-dipole array will be obtained the value of measuring the current and potential difference. This value will generate into 2D and 3D model of the cross section of the iron ore deposits. One of the areas in West Sumatra has the potential for iron ore. Five lines were applied in this area. The result of cross section got the iron minerals associated with quartzite at 30 meters depth below the surface.
In a modern survey, information on the real condition of the study area is required to support the analysis and interpretation result of a study. However, obtaining information on the real condition in a wide covered area is difficult, particular in an area that hard to access and has varied topographic. The method that can imaging the real condition of a study area is observation using UAV/drone using structure from motion technique. Besides can be observed with a wide area, the detailed condition of the area also can be visualized. Structure from motion (sfm) is the technique that determines the spatial and geometric relationship of the target area through the movement of the camera. In this research, the sfm technique was applied to create the 3 dimension construction of the Kelok Sembilan flyover. The result show, 3D construction has a high spatial resolution in 2.99 cm/pixel measured in Ground Sampling Distance (GSD). Meanwhile, the horizontal relative resolution is 5.97 cm, and the vertical relative resolution is 8.95 cm.
Problems related to water resources are still a major concern in some regions in the tropical climate. The effect of seasonal changes on the physical parameters of water quality is quite clearly visible. This certainly can pose a serious risk if it takes place in the long term towards human health and the environment without conducting intensive studies. The approach of this study is to draw the relationship between seasonal changes and physical parameters of water quality in 185 points spread across 11 sub-districts. Water parameter data was analyzed using multivariate statistics. Based on multivariate analysis in the dry season, the regression equation Y = 343.482 X1 + 0.039 X2 - 0.016 X3 + 12.961 X4 + 124.773 X5 - 815.208 and rainy season Y = 273.119 X1 + 0.025 X2 + 0.336 X3 + 15.731 X4 + 39.731 X5 - 745.119 (X1 salinity, X2 resistivity, X3 depth, X4 TDS, and X5 temperature, with bound parameters or Y is conductivity). Based on the health standards of the Indonesia Health Ministry concluded that regions showed the zone of extreme changes is close to the coast.
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