Proceedings of the 11th International Applied Business and Engineering Conference, ABEC 2023, September 21st, 2023, Bengkalis, Riau, Indonesia

Research Article

Synergizing AHP and SMART: An Integrated Decision Support System for Best Employee Selection

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  • @INPROCEEDINGS{10.4108/eai.21-9-2023.2342893,
        author={Yance  Sonatha and Meri  Azmi and Resy  Liza and Rasyidah  Rasyidah and Rita  Afyenni},
        title={Synergizing AHP and SMART: An Integrated Decision Support System for Best Employee Selection },
        proceedings={Proceedings of the 11th International Applied Business and Engineering Conference, ABEC 2023, September 21st, 2023, Bengkalis, Riau, Indonesia},
        publisher={EAI},
        proceedings_a={ABEC},
        year={2024},
        month={2},
        keywords={ahp decision support system smart human resource},
        doi={10.4108/eai.21-9-2023.2342893}
    }
    
  • Yance Sonatha
    Meri Azmi
    Resy Liza
    Rasyidah Rasyidah
    Rita Afyenni
    Year: 2024
    Synergizing AHP and SMART: An Integrated Decision Support System for Best Employee Selection
    ABEC
    EAI
    DOI: 10.4108/eai.21-9-2023.2342893
Yance Sonatha1,*, Meri Azmi1, Resy Liza1, Rasyidah Rasyidah1, Rita Afyenni1
  • 1: Politeknik Negeri Padang
*Contact email: yance@pnp.ac.id

Abstract

The preservation of business efficiency and productivity relies on the comprehensive assessment and meticulous selection of ideal personnel. The present study utilized a combination of the Analytical Hierarchy Process (AHP) and Simple Multi-Attribute Rating Technique (SMART) methodologies to determine the personnel with the highest level of competence. The main aim of this strategy is to furnish decision-makers with a quantifiable and substantiated framework for assessing and ranking employees. This strategy is predicated around the utilization of four often utilized criteria for assessing an employee's performance, specifically: attendance record, quality of work, adherence to disciplinary procedures, and length of employment. As a result, the findings demonstrate a heightened focus on the ability to measure and confirm data, thereby establishing a strong foundation for making informed decisions. The architecture of the suggested system demonstrates a notable level of versatility, enabling the organization to incorporate or remove evaluation criteria based on its unique requirements and expectations. This implies that diverse firms can potentially utilize the methodology described in this study while maintaining the integrity and accuracy of the findings. This study significantly contributes to the improvement of staff selection procedures through the integration of SMART and AHP approaches dynamically.