Robust Regression Generalized Scale (GS) Estimation On Profit Data Of Poultry Farm Companies

Abstract

Poultry farming is the business of cultivating poultry such as breeding chickens, laying
hens, and broilers to obtain meat and eggs. Robust regression is a regression method that
is used when some outlier data affect the model so that the distribution of the error is not
normal. Estimates on robust regression that can overcome outliers such as Generalized
Scale (GS) estimation, GS estimation is seen as an extension of S estimation. GS
estimation is a solution for minimizing M estimation with paired scale error. This
estimate is applied to poultry data companies in 2020 as an indicator to determine the
robust regression model. It is concluded that the factors that affect the total profit of
poultry farming companies in Indonesia in 2020 are wages for workers and electricity
and water.