JOURNAL ARTICLE

Implementasi Algoritma Naïve Bayes Classifier Dalam Penerimaan Karyawan

Edward Robinson SiagianDoansi Tarihoran

Year: 2023 Journal:   BEES Bulletin of Electrical and Electronics Engineering Vol: 3 (1)Pages: 49-56

Abstract

The final research report of this study aims to find out how the employee recruitment procedure at PT. Kreasibeton Nusapada, because human resources are a component that has a very important role in a company. In today's technological age, some companies have used certain methods in making choices to recruit new employees. This is because the assessment used to obtain competent new employees should be an objective assessment. In this research, an assessment method will be developed to make it easier for the HRD (Human Resource Department) to select competent candidates to fill certain positions needed by the company. The assessment will be calculated by assessing all the criteria that must be met by prospective company employees, where the assessment is made with standards predetermined by management. The research produced a suitable candidate to fill the position of HSE (Health Safety Environment) staff at PT Kreasibeton Nusapersada, namely Rizki Vadlin with a final score of 1.75 which was calculated based on the Naïve Bayesian Classifier Algorithm. The results of this study indicate that the process of assessing the competence of prospective employees to fill available positions in the company is proven to produce an objective and effective assessment in accordance with the criteria set by the company's managemen.

Keywords:
Competence (human resources) Human resources Naive Bayes classifier Human resource management Business Knowledge management Computer science Operations management Artificial intelligence Psychology Management Engineering

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Topics

Data Mining and Machine Learning Applications
Physical Sciences →  Computer Science →  Information Systems
Information Retrieval and Data Mining
Physical Sciences →  Computer Science →  Information Systems
Edcuational Technology Systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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