Determining employee eligibility in equalizing staffing status using the naïve bayes

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Abstract

The term non-permanent employee first appeared in the rule of law, namely in Act Number 13 Year 2003 concerning Manpower.This Act has an impact on the emergence of clarity about staffing status so that the salaries obtained by employees do not match their workload.Therefore, this study aims to determine employees who are eligible to earn the same income at one of the private universities in Palembang based on university's strategic plan, namely class, employment status, membership, and education permit using the Naïve Bayes method. The results showed that the highest accuracy of predictive conclusions for non-permanent and permanent employees is 83.33%, while the lowest accuracy value is 50%.

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Gustriansyah, R., Ramadhan, B. G., Suhandi, N., Sanmorino, A., & Coyanda, J. R. (2019). Determining employee eligibility in equalizing staffing status using the naïve bayes. International Journal of Engineering and Advanced Technology, 9(1), 2309–2312. https://doi.org/10.35940/ijeat.A2627.109119

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