Decision Support System for Private Teacher Selection Optimation using Simple Additive Weighting Algorithm

Abstract

The selection of private teachers in an educational institution is a difficult problem because the process of selecting private teachers and collecting private teacher data is still using the manual method so that, it takes a very long time. For this reason, we need a system that can support the recruiter's decision in selecting new employees. This study proposes a Decision Support System for selecting private teachers using the Simple Additive Weighting algorithm. The criteria set in this system consist of price (C1), distance (C2), experience (C3), ability (C4), patience (C5), age (C6), and gender (C7). The results show that alternative A3 is the best alternative compared to the other four alternatives.