Application for leave in a company that has many employees often has problems in calculating quotas and scheduling them. Preparations for making quotas and scheduling are generally carried out 1 month before applying for leave. However, leave allowances and leave schedules exceeding the quota often occur because the staff does not prepare quota plans and leave schedules according to the period. In this research, the authors solve the problems above by developing a decision support system that uses the Fuzzy-SAW (Simple Additive Weighting) approach. The object of research used is an airline with a total aircrew of 4500 crew. The Fuzzy-SAW method is used for weighting calculations where decisions in the automatic scheduling of crew leave are evenly distributed for each week and month, according to the maximum leave allotment given for each month. The criteria that will be used as an assessment of leave decisions are flight hours, bar class, annual performance value, base, rank, and years of service. Where leave with a rating of 1 is prioritized to get a leave allowance. So, if the quota given is only for 5 people, ranks 1 to 5 get priority to get leave. In this criterion, each criterion has been given a weight for prioritizing the leave schedule received, with this assessment making air crew staff not confused in prioritizing who will take leave in accordance with the quotas and rules that exist in the company, thereby reducing the number of leave to be neater, and organized. for every week and month.

Topics
Decision support system, Careers and professions
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