Nowadays, the need for a comfortable room to do daily activities is one of the important things that must be considered in designing building. Building designer use some software tools to make analysis of building condition. One of software tools that support this problem is Autodesk Ecotect Analysis. It is a highly visual architectural design and analysis tool that links a comprehensive 3D modeler with a wide range of performance analysis functions covering thermal, energy, lighting, shading, acoustics and cost aspects. Using simulated data, it can be obtained several samples of the coordinates and the simulation value at each sample point. In this study will be used universal kriging method to make a prediction model of the simulation. By using kriging parameters, universal kriging can make a model of the spatial trends and spatial correlation.
This study’s focus will be in finding kriging parameter for several static terms such as different open ratio, different material in the room, room size, etc. After the parameters are found, multi regression will be performed to find the correlation function between these conditions. For the next step, this study will find the adjustment function for dynamic term of these kriging parameters. The dynamic term is meant here is the change in time and rotation angle. And the final steps, is validation of the prediction result by using these kriging parameter.

Nowadays, the need for a comfortable room to do daily activities is one of the important things that must be considered in designing building. Building designer use some software tools to make analysis of building condition. One of software tools that support this problem is Autodesk Ecotect Analysis. It is a highly visual architectural design and analysis tool that links a comprehensive 3D modeler with a wide range of performance analysis functions covering thermal, energy, lighting, shading, acoustics and cost aspects. Using simulated data, it can be obtained several samples of the coordinates and the simulation value at each sample point. In this study will be used universal kriging method to make a prediction model of the simulation. By using kriging parameters, universal kriging can make a model of the spatial trends and spatial correlation.
This study’s focus will be in finding kriging parameter for several static terms such as different open ratio, different material in the room, room size, etc. After the parameters are found, multi regression will be performed to find the correlation function between these conditions. For the next step, this study will find the adjustment function for dynamic term of these kriging parameters. The dynamic term is meant here is the change in time and rotation angle. And the final steps, is validation of the prediction result by using these kriging parameter.

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