A strong trend of returning to nuclear power is evident in different places in the world. Forty-five countries are planning to add nuclear power to their grids and more than 66 nuclear power plants are under construction.Nuclear power plants that generate electricity and steam need to improve safety to become more acceptable to governments and the public. One novel practical solution to increase nuclear power plants' safety factor is to build them away from urban areas, such as offshore or underground. To date, Land-Based siting is the dominant option for siting all commercial operational nuclear power plants. However, the literature reveals several options for building nuclear power plants in safer sitings than Land-Based siting.The alternatives are several and each has advantages and disadvantages, and it is difficult to distinguish among them and choose the best for a specific project. In this research, we recall the old idea of using the alternatives of offshore and underground sitings for new nuclear power plants and propose a tool to help in choosing the best siting technology.

The aim of this study is to make a decision support system using the Technique for Ordered Preference By Similarity To Ideal Solution (TOPSIS) method for evaluating the performance employee of BJB bank. The system was developed with the waterfall development model and the PHP programming language. This study use a TOPSIS Method that is is a Multi Criteria decision making method to identify this study. The final results of the system in the form of an alternative sequence of data (ranking) of the best employees based on preference values obtained from the calculation results. This decision support system will be used by BJB bank as a supporter in making decisions to determine the best employees in the office.