IV International Scientific and Practical Conference 2021
DOI: 10.1145/3487757.3490883
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Application of the Modeling Method for Personnel Management Information System in the Digital Economy

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Cited by 2 publications
(2 citation statements)
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“…Biblioshiny for Bibliometrix allows using the concept structure function to perform multiple correspondence analyses (MCA) to plot the conceptual structure of the field and K-means clustering to identify clusters of documents representing common concepts [15]. MCA is an exploratory multivariate technique for graphical and numerical analysis of multivariate categorical data [55,56]. Figure 11 shows that the team had "value.…”
Section: Factor Analysis On Abstractmentioning
confidence: 99%
“…Biblioshiny for Bibliometrix allows using the concept structure function to perform multiple correspondence analyses (MCA) to plot the conceptual structure of the field and K-means clustering to identify clusters of documents representing common concepts [15]. MCA is an exploratory multivariate technique for graphical and numerical analysis of multivariate categorical data [55,56]. Figure 11 shows that the team had "value.…”
Section: Factor Analysis On Abstractmentioning
confidence: 99%
“…Personnel Information Systems (SIK) are very important in managing the workforce in various organizations, especially in the public sector (Noviandi, 2019;Nurwan & Marliady, 2019;Kaoje et al, 2020;Thipmontha & Nuankaew, 2022). The success of SIK lies not only in improving operational efficiency but also in its ability to provide accurate and reliable data (Haqque et al, 2021), helps make the right decisions, and promotes transparency and accountability in managing the workforce (Widiastuti et al, 2023;Coda, 2023;Gasparovich et al, 2021;Uzoh, 2020). A good understanding of how to implement and manage SIK is increasingly important for public organizations to be able to optimize their workforce management effectively and efficiently (Suseno et al, 2023), (Libriantono, 2024).…”
Section: Introductionmentioning
confidence: 99%