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Business Intelligence To Support Visualization Of Indonesian Capital Market Investment Gallery Performance

Business Intelligence is growing rapidly in all sectors of life, especially the business sector in the Indonesian capital market. The investment gallery is a forum for education in the community so that the growth of investment education in the community increases. Therefore, business intelligence technology is needed in processing the Indonesian capital market investment gallery using visualization tools. The method used is a combination of predictive classification method and descriptive sequence discovery method. The classification predictive method aims to distribute object classes or functions according to the procedures studied using additive weighting tools, while the descriptive method aims to describe the class results in the form of visualization. The expected result is the creation of a business intelligence model to support the efficient and effective visualization of the performance of the Indonesian capital market investment gallery and have a model that is part of the development of the investment gallery.