Decision Support System using WP Algorithm for Teacher Selection
Ahmad Tohir, Hery Winoto Tj, Melitina Tecoalu, La Ode Monto Bauto, Bernadetha Nadeak, Ahmad Fakhri Hutauruk, Galih Wicaksono, Mohzana Mohzana, GS Achmad Daengs, Sutopo Sutopo, Tamaulina Br. Sembiring · Journal of Physics Conference Series · 2021
Abstract Education is the most important thing done by every country. Going to higher education cannot be done briefly. There are several stages in implementing this education. One of them is Junior High School (SMP) education. This research took place in one school. This education requires teachers who are professional and have good performance. The decision support system with the Weighted Product (WP) method can be used to help select teachers who can join the school. The Weighted Product method works by calculating five criteria as the basis for selecting and seeking teachers. The results of this method are the teacher ranking scores from highest to lowest. The benefits obtained; the school can make acceptance based on the system implemented.