Research Article
Design of Psychological Test Expert System for New Employees Recruitment with Profile Matching Method
@INPROCEEDINGS{10.4108/eai.28-10-2020.2315349, author={Nia Rahma Kurnianda and Intan Mutia and Irman Hermadi}, title={Design of Psychological Test Expert System for New Employees Recruitment with Profile Matching Method}, proceedings={Proceedings of the 1st Konferensi Internasional Berbahasa Indonesia Universitas Indraprasta PGRI, KIBAR 2020, 28 October 2020, Jakarta, Indonesia}, publisher={EAI}, proceedings_a={KIBAR}, year={2022}, month={2}, keywords={expert systems recruitment new employees psychological tests profile matching}, doi={10.4108/eai.28-10-2020.2315349} }- Nia Rahma Kurnianda
Intan Mutia
Irman Hermadi
Year: 2022
Design of Psychological Test Expert System for New Employees Recruitment with Profile Matching Method
KIBAR
EAI
DOI: 10.4108/eai.28-10-2020.2315349
Abstract
Employees are the most valuable assets for the company. So, the selection of prospective employees needs to be done to get quality resources. This study aims to develop a psychological test application design that can be used to determine the interests, talents, personality, and skills of prospective employees efficiently and accurately; also processes the results of the selection test for prospective employees. This application can save time and money and provide recommendations to the human resources department during the Covid 19 pandemic. The research method used was a descriptive method with qualitative descriptions. The results indicated that the psychological test expert system can run smoothly with a database; ES module with profile matching method; answer correction module and user interface; as well as providing recommendations regarding prospective employees for a job position. The test of the acceptance level of the focus group discussion (FGD) participants was 97.27% of the total user interface tested. The results obtained were fairer because there was no subjective element in determining the accepted employees.