Decision Support System for COVID-19 Direct Target Cash Recipients Using the Analytical Hierarchy Process and Simple Additive Weighting Method
Pande Bagus Narendra Mahaputra, I Made Sukarsa, Ni Kadek Ayu Wirdiani · 2021
COVID-19 (Coronavirus Disease 2019) is a new type of disease caused by a newly discovered coronavirus. In 2020 the COVID-19 disease spread rapidly in Indonesia and cause many layoffs due to the economic downturn. The government has finally provided assistance to people affected by the COVID-19 pandemic, but its implementation still has weaknesses due to human error factors. The implementation needs the right decision support system to cover the human error factor. The Analytical Hierarchy Process (AHP) method and the Simple Additive Weighting (SAW) method are appropriate methods in making a decision support system for government assistance in cases of COVID-19. The Analytical Hierarchy Process (AHP) method is used to determine the score for each data from the candidates, and the Simple Additive Weighting (SAW) method is used to rank the candidates according to the score that have been obtained in the Analytical Hierarchy Process (AHP) method.