Salary payment decision support system based on embedded system with simple additive weighting method (SAW)

Author

Irfan Dwiguna Sumitra, S.Kom., M.Kom. Ph.D

Abstrak

Currently it is possible to apply IoT technology with the category of embedded systems that increase labor productivity on plantations. Productivity is important for a company as a way to monitor its production performance by evaluating employees to assist in decision making such as giving bonuses, promotions, giving wages, or providing feedback for employees. The process of determining wages is carried out using 3 criteria: Attendance, Area and “Excerpts” using the Simple Additive Weighting (SA W) method. The use of this method is used to obtain an index which can later help decision making to get the best alternative for giving bonuses and total wages for each employee based on productivity results from monitoring production performance. This research will produce tools that can be used in plantation areas even in areas that lack internet network access. So that employees can input attendance data and the results of “excerpts” using this tool, which will facilitate the calculation process in making decisions regarding the provision of wages for each employee which will provide certainty and motivation for each employee.