MACHINE LEARNING WEB APPLICATION FOR SOFTWARE DEVELOPER SALARY PREDICTION USING RANDOM FOREST ALGORITHM

Abstract

Many Software Developers, especially fresh graduates are having difficulties in determining their expected salary during the recruitment process. This problem does not just happen for fresh graduates but for people with experiences as well. This research proposes a web based application system that has an ability to determine the estimated salary. Software Developer Survey Data 2021 is trained and tested using random forest algorithm to make the system capable of predicting the estimated salary. The test result shows that the system is working as expected with the accuracy 91,1%.