Open AccessDetermining Employee Eligibility in Equalizing Staffing Status Using the Naïve Bayes
Author(s) -
Rendra Gustriansyah,
Boy Gilang Ramadhan,
Nazori Suhandi,
Ahmad Sanmorino,
John Roni Coyanda
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a2627.109119
Subject(s) - staffing , workload , clarity , workforce , bayes' theorem , business , demographic economics , actuarial science , statistics , political science , economics , management , mathematics , bayesian probability , law , biochemistry , chemistry
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%.