Implementation of the Fuzzy Method in the Selection of Activities Employees during the Pandemic
Keywords:Activity selection, Fuzzy Inference System (FIS), Tsukamoto fuzzy, Employee
COVID-19 (Corona Virus Disease 2019) was first discovered in Wuhan, China in December 2019. This infectious virus has spread to almost all countries. In Indonesia, a large-scale social restriction policy was implemented that brings an impact on the economy, including the culinary sector. The Z Inc. also experienced the same thing, to survive during the pandemic; the company implemented a policy of paying wages based on working hours and a policy of laying off employees for 14 days for sick employees and employees traveling on off days. The impact for employees affects worker wages. The purpose of this study was to assist employees in making decisions in choosing activities and assist the company by increasing employee productivity. The fuzzy method application could help in selecting activities. The data analyzed were employee needs factors, namely economic, social, health, and safety factors. The method used was the Tsukamoto method which had four stages, namely 1. Fuzzification; 2. Implication Function using a minimum function; 3. Formation of rules using a minimum function; and 4. Defuzzification using a weighted average. Then the results obtained those 6 employees were recommended to rest, 3 employees were recommended to do online business and 1 person was recommended to exercise. These results were expected to be applied during off days to meet the employees' needs.
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Copyright (c) 2022 Nukhe Andri Silviana, Ninny Asnidar Siregar, Hanif Pradana
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