Implementation WASPAS for recommendations on salary increases for employees case study toko nasional utama

Abstract

This implementation aims to decide which employees to get salary increases. waspas is one of multi criteria decision making method that using multiple criteria to find the highest value from all data criteria. This implementation number of criteria, criteria weight and level of importance can be changed as needed, in this case data of employees is using from toko nasional utama and criteria, value of criteria, and level of importance was given from toko nasional utama owner. Based the testing result is choose 3 employees with highest value using 5 data of employees and 10 criteria from the owner, the result Nico is 0.8116, Eko is 0.6902, Djajantono is 0.6347. The gap between Nico and Eko or Eko and Djajantono because assessment from owner to employees is different based on their performance and that effected on the result. Based on the result that obtained it can be concluded that waspas can be used for make a recommendations with multiple criteria.