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

Bagus, Taqwim

dc.contributor.author	Bagus, Taqwim
dc.date.accessioned	2023-04-03T04:47:04Z
dc.date.available	2023-04-03T04:47:04Z
dc.date.issued	2022
dc.identifier.uri	http://repository.president.ac.id/xmlui/handle/123456789/10844
dc.description.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%.	en_US
dc.language.iso	en_US	en_US
dc.publisher	President University	en_US
dc.relation.ispartofseries	Information Technology;001201800001
dc.title	MACHINE LEARNING WEB APPLICATION FOR SOFTWARE DEVELOPER SALARY PREDICTION USING RANDOM FOREST ALGORITHM	en_US
dc.type	Thesis	en_US