Penerapan Metode Logarithmic Percentage Change-Driven Objective Weighting dan Multi-Attribute Utility Theory dalam Penerimaan Guru Bahasa Inggris

  • Setiawansyah Setiawansyah Universitas Teknokrat Indonesia
  • Ari Sulistiyawati Universitas Teknokrat Indonesia
Keywords: Teacher, LOPCOW, MAUT, Acceptance, Selection

Abstract

The admission of English teachers in private schools is an important process in ensuring the quality of education in the institution. This process involves several stages, from the announcement of job vacancies to the selection of candidates who match the established criteria. Problems in the recruitment of English teachers, namely a selection process that lacks transparency or inadequate evaluation tools, can also be an obstacle. Therefore, addressing the problem of English teacher recruitment requires a holistic approach that pays attention to various aspects, including the development of effective recruitment strategies, the provision of training to improve candidate qualifications, and the improvement of the overall selection process. The research objective of applying the LOPCOW (Logarithmic Percentage Change-Driven Objective) Weighting and MAUT (Multi-Attribute Utility Theory) method is to provide a comprehensive and effective framework in the selection process, where LOPCOW is used to analyze objective data related to teacher performance and qualifications, while MAUT is used to integrate the subjective preferences of stakeholders such as principals and school committees in decision making.  Thus, the main objective is to optimize the admission process of English teachers by considering these two aspects holistically. The ranking results show that the final results of English teacher admissions recommend the first rank with a final score of 0.7421 obtained by HR Teacher Candidates. This result is the application of the LOPCOW and MAUT methods in the selection process for English teacher admission, and becomes a recommendation for the English teacher admission process.

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References

A. Setiawan, “Pengambilan Keputusan Untuk Menyeleksi Penerimaan Guru Matematika Dengan Methode Topsis,” METHOMIKA J. Manaj. Inform. Komputerisasi Akunt., vol. 3, no. 1, pp. 14–20, 2019, doi: 10.46880/jmika.Vol3No1.pp14-20.

A. F. Pasaribu, A. Surahman, A. T. Priandika, S. Sintaro, and Y. T. Utami, “Sistem Pendukung Keputusan Seleksi Penerimaan Guru Menggunakan SAW,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 13–19, Feb. 2023, doi: 10.58602/jaiti.v1i1.21.

H. B. Santoso, “Metode Pembobotan Simplified Pivot Pairwise Relative Criteria Importance Assessment dan COPRAS Dalam Penentuan Seleksi Penerimaan Guru,” J. Artif. Intell. Technol. Inf., vol. 1, no. 4, pp. 154–163, 2023, doi: 10.58602/jaiti.v1i4.84.

S. Nastiti and F. T. Waruwu, “Kombinasi Metode AHP Dan MOORA Dalam Pendukung Keputusan Seleksi Penerimaan Guru Bimbingan Konseling (Studi Kasus: Smk Negeri 1 Lima Puluh),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 5, no. 1, 2021, doi: 10.30865/komik.v5i1.3664.

R. M. N. Halim, A. H. Mirza, and F. Ahmad, “Penerapan Metode SAW pada Sistem Informasi Penerimaan Guru SMP Quraniah Palembang,” Teknomatika, vol. 11, no. 02, pp. 153–162, 2021.

U. Akpan and R. Morimoto, “An application of Multi-Attribute Utility Theory (MAUT) to the prioritization of rural roads to improve rural accessibility in Nigeria,” Socioecon. Plann. Sci., vol. 82, p. 101256, 2022.

H. Sulistiani, Setiawansyah, P. Palupiningsih, F. Hamidy, P. L. Sari, and Y. Khairunnisa, “Employee Performance Evaluation Using Multi-Attribute Utility Theory (MAUT) with PIPRECIA-S Weighting: A Case Study in Education Institution,” in 2023 International Conference on Informatics, Multimedia, Cyber and Informations System (ICIMCIS), 2023, pp. 369–373. doi: 10.1109/ICIMCIS60089.2023.10349017.

M. H. Sadeghiravesh, H. Khosravi, and A. Abolhasani, “Selecting proper sites for underground dam construction using Multi-Attribute Utility Theory in arid and semi-arid regions,” J. Mt. Sci., vol. 20, no. 1, pp. 197–208, 2023.

J. Rueda-Benavides, M. Khalafalla, M. Miller, and D. Gransberg, “Cross-asset prioritization model for transportation projects using multi-attribute utility theory: a case study,” Int. J. Constr. Manag., vol. 23, no. 16, pp. 2746–2755, 2023.

F. A. AlFaraidy, K. S. Teegala, and G. Dwivedi, “Selection of a Sustainable Structural Floor System for an Office Building Using the Analytic Hierarchy Process and the Multi-Attribute Utility Theory,” Sustainability, vol. 15, no. 17, p. 13087, 2023.

Z. Allah Bukhsh, I. Stipanovic, and A. G. Doree, “Multi-year maintenance planning framework using multi-attribute utility theory and genetic algorithms,” Eur. Transp. Res. Rev., vol. 12, no. 1, pp. 1–13, 2020.

T. Van Dua, D. Van Duc, N. C. Bao, and D. D. Trung, “Integration of objective weighting methods for criteria and MCDM methods: application in material selection,” EUREKA Phys. Eng., no. 2, pp. 131–148, Mar. 2024, doi: 10.21303/2461-4262.2024.003171.

F. Ecer and D. Pamucar, “A novel LOPCOW‐DOBI multi‐criteria sustainability performance assessment methodology: An application in developing country banking sector,” Omega, vol. 112, p. 102690, Oct. 2022, doi: 10.1016/j.omega.2022.102690.

S. Chatterjee and S. Chakraborty, “A study on the effects of objective weighting methods on TOPSIS-based parametric optimization of non-traditional machining processes,” Decis. Anal. J., vol. 11, p. 100451, Jun. 2024, doi: 10.1016/j.dajour.2024.100451.

A. Ulutaş, A. Topal, Ö. F. Görçün, and F. Ecer, “Evaluation of third-party logistics service providers for car manufacturing firms using a novel integrated grey LOPCOW-PSI-MACONT model,” Expert Syst. Appl., vol. 241, p. 122680, May 2024, doi: 10.1016/j.eswa.2023.122680.

V. Simic, S. Dabic-Miletic, E. B. Tirkolaee, Ž. Stević, A. Ala, and A. Amirteimoori, “Neutrosophic LOPCOW-ARAS model for prioritizing industry 4.0-based material handling technologies in smart and sustainable warehouse management systems,” Appl. Soft Comput., vol. 143, p. 110400, Aug. 2023, doi: 10.1016/j.asoc.2023.110400.

F. Ecer, İ. Y. Ögel, R. Krishankumar, and E. B. Tirkolaee, “The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era,” Artif. Intell. Rev., vol. 56, no. 11, pp. 13373–13406, Nov. 2023, doi: 10.1007/s10462-023-10476-6.

F. Ecer, H. Küçükönder, S. Kayapınar Kaya, and Ö. Faruk Görçün, “Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework,” Transp. Res. Part A Policy Pract., vol. 172, p. 103667, Jun. 2023, doi: 10.1016/j.tra.2023.103667.

Published
2024-06-01
How to Cite
Setiawansyah, S., & Sulistiyawati, A. (2024). Penerapan Metode Logarithmic Percentage Change-Driven Objective Weighting dan Multi-Attribute Utility Theory dalam Penerimaan Guru Bahasa Inggris. Journal of Artificial Intelligence and Technology Information, 2(2), 62-75. https://doi.org/10.58602/jaiti.v2i2.119