Shallow water equations were analyzed numerically for simulation of tsunami propagation from the source area to coastal zone of Mentawai Islands along West Sumatra Island. A triangular mesh was set for spatial discretization and a system of partial differential equation is reduced to a system of ordinary differential equations. Initial displacement based on Okada model was applied. Our numerical techniques were demonstrated with a simulation of tsunami generated from an earthquake with epicenter near South Pagai Island, Mentawai Islands, Indonesia.
PT XYZ, engaged in the financial industry, has a target to become a leading company in Southeast Asia and has been supported by more than 200 million customer data in its core system. This huge amount of data is expected to create business opportunities, build a risk-aware culture, and increase supremacy in the business strategy of PT XYZ. These things can be achieved if the data used is of good quality data. In fact, found anomalies in a large number of customer data. To get recommendations for improving the quality of customer data, it is necessary to assess the quality of customer data. The customer data quality assessment in this study uses the method introduced by Loshin (2011). Loshin’s Data Quality Management Model (DQMM) adopts a capability maturity level model in building its characteristic matrix. Maturity levels obtained are 3.6 (expectations), 3.6 (dimensions), 4.4 (policy), 3.8 (procedures), 4.2 (governance), 3.8 (standardization), 4, 2 (technology), and 3.8 (performance management). Regarding the expectation that senior management can achieve the highest level of data quality, 9 strategic recommendations were produced 9 strategy recommendations were submitted to PT XYZ is the result of mapping between criteria that have not been met with data quality management activity in Data Management Body of Knowledge (DMBOK) version 2.0. Measurement and monitoring of good data quality is the most influential recommendation for PT XYZ.
This study shows the practical application of numerical techniques for tsunami simulation. Our techniques were tested against a model problem of flow with linear bottom friction over a parabolic bottom topography. A governing system of partial differential equations was spatially discretized over a triangular mesh. Standard ODE solvers were applied to the resultant system of ordinary differential equations for the horizontal fluxes and the wave height. At each time step, each node was tested to determine whether it was "wet" or "dry", according to criteria on the total depth. An initial displacement was set according to source fault plane generated by other authors. Our techniques were applied to the Mentawai 2010 tsunami simulation and the Indian Ocean 2004 tsunami simulation.
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