Research Article
Optimizing Credit Score Assessment for Supervision and Administrative Control of E-Government-Based Personnel Analysts
@INPROCEEDINGS{10.4108/eai.18-11-2023.2342550, author={Syamsul Arifin and Pramuditha Shinta Dewi Puspitasari and Faisal Lutfi Afriansyah}, title={ Optimizing Credit Score Assessment for Supervision and Administrative Control of E-Government-Based Personnel Analysts}, proceedings={Proceedings of the 4th International Conference on Social Science, Humanity and Public Health, ICoSHIP 2023, 18-19 November 2023, Surabaya, East Java, Indonesia}, publisher={EAI}, proceedings_a={ICOSHIP}, year={2024}, month={1}, keywords={e-governance credit score assessment data analytics risk assessment models decision making}, doi={10.4108/eai.18-11-2023.2342550} }- Syamsul Arifin
Pramuditha Shinta Dewi Puspitasari
Faisal Lutfi Afriansyah
Year: 2024
Optimizing Credit Score Assessment for Supervision and Administrative Control of E-Government-Based Personnel Analysts
ICOSHIP
EAI
DOI: 10.4108/eai.18-11-2023.2342550
Abstract
In the rapidly evolving landscape of e-governance, effective personnel management is essential for ensuring the efficiency and integrity of public service delivery. This study explores the optimization of credit score assessment as a crucial tool for supervisory and administrative control of personnel analysts operating within e-governance frameworks. The research investigates the key factors and methodologies involved in credit score assessment, specifically tailoring these techniques to the unique requirements of e-governance settings. By leveraging data analytics, machine learning, and risk assessment models, this study aims to enhance the decision-making process for personnel analysts' performance evaluation, resource allocation, and overall management. The findings of this research have the potential to significantly contribute to the improvement of e-governance practices by facilitating more informed and data-driven decisions regarding personnel analysts' roles and responsibilities.
