Modification of the Grey Relational Analysis Method in Determining the Best Mechanic


  • Muhammad Waqas Arshad University of Bologna, Bologna, Italy
  • Heni Sulistiani Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia
  • Sufiatul Maryana Universitas Pakuan, Bogor, Indonesia
  • Pritasari Palupiningsih Institut Teknologi Perusahaan Listrik Negara, Tangerang, Indonesia
  • Yuri Rahmanto Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia
  • Setiawansyah Setiawansyah * Mail Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia
  • (*) Corresponding Author
Keywords: Alternative; GRA; Modification; Rankings; Standard Deviation

Abstract

Determining the best mechanics in the industry has an important role to ensure the quality and reliability of the products and services offered. Competent and experienced mechanics are able to diagnose and repair accurately and efficiently, thereby minimizing operational downtime and increasing productivity. Without a structured system, mechanical performance appraisals tend to be subjective and inconsistent, which can lead to dissatisfaction among employees and customers. Mechanics may not get clear and constructive feedback on their performance, thus hindering skill development and professionalism. The purpose of the research of the modified Grey Relational Analysis (GRA) using standard deviation is to improve the accuracy and reliability of the decision-making process in situations where the data has a high degree of variability or significant uncertainty. By integrating standard deviations into the GRA, the study aims to account for variations and fluctuations in the data, which allows for more accurate and representative assessment of the criteria. This modification is expected to overcome the weaknesses of traditional GRAs that may not adequately consider data uncertainty, as well as produce more robust and realistic alternative rankings. The results of the best ranking of mechanics, Mechanic FR ranks first with a value of 0.11, followed by Mechanic HS with a value of 0.104. The third place was occupied by Mechanic AY with a score of 0.099.

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Article History
Submitted: 2024-07-24
Published: 2024-12-26
Abstract View: 50 times
PDF Download: 15 times
How to Cite
Arshad, M., Sulistiani, H., Maryana, S., Palupiningsih, P., Rahmanto, Y., & Setiawansyah, S. (2024). Modification of the Grey Relational Analysis Method in Determining the Best Mechanic. Building of Informatics, Technology and Science (BITS), 6(3), 1889-1897. https://doi.org/10.47065/bits.v6i3.5678
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