Hybrid Logarithmic Percentage Change-Driven Objective Weighting and Grey Relational Analysis Method in Employee Contract Renewal
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Setiawansyah Setiawansyah
*
Universitas Teknokrat Indonesia, Bandar Lampung,
Indonesia
- Yuri Rahmanto Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia
- Ahmad Ari Aldino Monash University, Victoria, Australia
- Aditia Yudhistira Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia
- Pritasari Palupiningsih Institut Teknologi Perusahaan Listrik Negara, Jakarta, Indonesia
- Ari Sulistiyawati Universitas Teknokrat Indonesia, Bandar Lampung, Indonesia (*) Corresponding Author
Abstract
Contract employees are individuals who are hired for a specific period of time within a company or organization for a specific purpose. They usually do not have permanent employee status and are bound by work contracts that govern their tenure, salary, and other obligations. Despite not having long-term job security, contract employees often bring specialized skills or experience needed for specific projects. They are often instrumental in handling temporary projects, fulfilling temporary company needs, or filling temporary vacancies. One of the main problems in determining employee contract renewal is the lack of transparency and clear communication from the company. Employees often feel confused or uncertain about the criteria used by management in determining whether or not their contract will be renewed. Lack of clear information can cause anxiety and uncertainty among employees, and impair their performance and motivation. Hybrid Logarithmic Percentage Change-Driven Objective Weighting and Grey Relational Analysis (HLOPCOW-GRA) is an approach that combines two analysis methods, namely LOPCOW and GRA to improve accuracy and reliability in decision making. HLOPCOW-GRA provides an advantage in combining LOPCOW's advantage in handling dynamic data fluctuations with GRA's advantage in analyzing relative relationships between criteria, this approach allows decision makers to gain a deeper understanding of the factors that affect the final outcome. The results of alternative ranking showed that the first place with a GRA final value of 0.1406 was obtained by EM alternatives, second place with a GRA final value of 0.1366 was obtained by SVR alternatives, third place with a GRA final value of 0.1366 was obtained by SVR alternatives, third place with a GRA final value of 0.1406 was obtained by EM alternatives. The final GRA value of 0.1245 obtained alternative ASR.
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Copyright (c) 2024 Setiawansyah Setiawansyah, Yuri Rahmanto, Ahmad Ari Aldino, Aditia Yudhistira, Pritasari Palupiningsih, Ari Sulistiyawati
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