2022
DOI: 10.48161/qaj.v2n2a120
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Human Resource Information System with Machine Learning Integration

Abstract: The human resource information system with machine learning integration was developed to aid in the management of employees’ records, profiling, turnover, data analytics, and the generation of electronic personal data sheets used by the government service records. It was developed with the feature of predicting employee turnover using a supervised machine learning method.  The system can also generate the following reports, namely, the government service record, years of service and loyalty awards, and availab… Show more

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Cited by 4 publications
(2 citation statements)
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“…In the current study, it was also difficult to find indicators with a high enough level of statistical significance. This may indicate that there is no direct link between the use of innovative tools and business performance in the country, or it may mean that the relationship is more complex (not linear) [38][39][40][41]. In this case, drawing conclusions based on this issue requires additional future research.…”
Section: Discussionmentioning
confidence: 99%
“…In the current study, it was also difficult to find indicators with a high enough level of statistical significance. This may indicate that there is no direct link between the use of innovative tools and business performance in the country, or it may mean that the relationship is more complex (not linear) [38][39][40][41]. In this case, drawing conclusions based on this issue requires additional future research.…”
Section: Discussionmentioning
confidence: 99%
“…I. Sardoni argues that attracting investment in human capital is one of the key factors influencing the increase in labour productivity [5]. Establishing a favourable investment environment that encourages investment both in technology and in human capital development, stimulates the growth of efficiency in using basic production assets and enhances the quality of labour [6].…”
Section: Literature Reviewmentioning
confidence: 99%