Comparative Analysis of the Combination of MOORA and GRA with PIPRECIA Weighting in the Selection of Warehouse Heads
- Muhammad Waqas Arshad University of Bologna, Bologna, Italy
-
Setiawansyah Setiawansyah
*
Universitas Teknokrat Indonesia, Bandarlampung,
Indonesia
- Sanriomi Sintaro Universitas Sam Ratulangi, Manado, Indonesia (*) Corresponding Author
Abstract
The Head of Warehouse has the main responsibility to manage and supervise the daily operations of the warehouse, including receiving, storing, and dispensing goods. In addition, the warehouse head is responsible for leading the warehouse staff team, providing the necessary direction, training, and supervision to ensure efficiency and safety in warehouse operations. This study aims to select warehouse heads by applying a combination of MOORA and PIPRECIA methods, as well as GRA and PIPRECIA. The combination of MOORA and PIPRECIA as well as GRA and PIPRECIA will be compared based on the final ranking of the two methods used. Based on the ranking results on the MOORA Method, the highest value with a value of 0.40017 was obtained by FHY with rank 1, a value of 0.36637 was obtained by AGL with rank 2, and a value of 0.35721 was obtained by YLS with rank 3 Based on the rating results on the GRA Method, the highest value with a value of 0.12164 was obtained by AGL with rank 1, a value of 0.12017 was obtained by FHY with rank 2, and a value of 0.1054 obtained by TAN with rank 3. Ranking differences between Multi-Method Objective Optimization by Ratio Analysis (MOORA) and Gray Relational Analysis (GRA) can arise due to differences in approaches in evaluating and comparing alternatives. The results of the conformity test can be concluded in the selection of warehouse heads who recommend the GRA method compared to the MOORA method, because the results of the conformity level of the GRA method get a value of 99.99919% higher than the MOORA method.
Downloads
References
Y. Harefa, F. T. Waruwu, and M. Sayuti, “Implementasi Metode MAUT Dengan Pembobotan ROC Pada Sistem Pendukung Keputusan Pemilihan Kepala Gudang PT. Sinwa Perdana Mandiri,” KETIK J. Inform., vol. 1, no. 02, pp. 1–10, 2023.
B. Aprilia and A. H. Azhar, “Sistem Pendukung Keputusan Penentuan Kepala Gudang Pada PT. Charoen Pokphand Medan Menggunakan Metode SMART,” Inf. Syst. Data Sci., vol. 1, no. 1, pp. 41–50, 2022.
M. N. D. Satria, “Penerapan Metode Visekriterijumsko Kompromisno Rangiranje (VIKOR) Dalam Seleksi Kepala Gudang,” J. Media Borneo, vol. 1, no. 2, pp. 47–54, 2023.
M. A. Abdullah and R. T. Aldisa, “Penerapan Metode MAUT Dalam Rekrutmen Kepala Gudang di Perusahaan Dengan Pembobotan ROC,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 2, pp. 1073–1079, 2023.
I. Azhari, “Sistem Pendukung Keputusan Pemilihan Kepala Gudang Di Pt. Central Mandiri Cemerlang (CMC) Dengan Kombinasi Metode Roc Dan Aras,” Inf. dan Teknol. Ilm., vol. 11, no. 1, pp. 37–48, 2023.
W. Y. Anda and E. Ekadiansyah, “IMPLEMENTASI METODE WASPAS DALAM SISTEM PENDUKUNG KEPUTUSAN PENENTUAN HEAD OF WAREHOUSE PADA PT. BUMI MENARA INTERNUSA BERBASIS WEB,” UNES J. Sci. Res., vol. 7, no. 2, pp. 68–76, 2022.
A. T. Priandika and A. D. Wahyudi, “Decision Support System for Determining Exemplary Employees Using the Evaluation Method based on Distance from Average Solution (EDAS),” J. Ilm. Comput. Sci., vol. 1, no. 1, pp. 17–30, 2022, doi: 10.58602/jics.v1i1.3.
S. Tiwari et al., “A smart decision support system to diagnose arrhythymia using ensembled ConvNet and ConvNet-LSTM model,” Expert Syst. Appl., vol. 213, p. 118933, 2023, doi: 10.1016/j.eswa.2022.118933.
Y. S. Bagi, S. Suyono, and M. F. Tomatala, “Decision support system for high achieving students selection using AHP and TOPSIS,” in 2020 2nd international conference on cybernetics and intelligent system (ICORIS), 2020, pp. 1–5.
R. R. Oprasto, “Decision Support System for Selecting the Best Raw Material Supplier Using Simple Multi Attribute Rating Method Technique,” J. Ilm. Comput. Sci., vol. 2, no. 1, pp. 10–18, 2023, doi: 10.58602/jics.v2i1.12.
H. K. Chan, X. Sun, and S.-H. Chung, “When should fuzzy analytic hierarchy process be used instead of analytic hierarchy process?,” Decis. Support Syst., vol. 125, p. 113114, 2019.
Z. Zhai, J. F. Martínez, V. Beltran, and N. L. Martínez, “Decision support systems for agriculture 4.0: Survey and challenges,” Comput. Electron. Agric., vol. 170, p. 105256, 2020.
A. Karim, S. Esabella, T. Andriani, and M. Hidayatullah, “Penerapan Metode Multi-Objective Optimization on the Basis of Simple Ratio Analysis (MOOSRA) dalam Penentuan Lulusan Mahasiswa Terbaik,” Build. Informatics, Technol. Sci., vol. 4, no. 1 SE-Articles, Jun. 2022, doi: 10.47065/bits.v4i1.1630.
A. Surahman, “Penilaian Kinerja Karyawan Menggunakan Kombinasi Metode Multi-Objective Optimization by Ratio Analysis (MOORA) dan Pembobotan Entropy,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 2, no. 1, pp. 28–36, 2024.
M. Gerus-Gościewska and D. Gościewski, “Grey relational analysis (gra) as an effective method of research into social preferences in urban space planning,” Land, vol. 11, no. 1, p. 102, 2022.
R. Andika, “Kombinasi Grey Relational Analysis (GRA) dan ROC Dalam Penentuan Promosi Jabatan Supervisor,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 2, no. 1, pp. 37–44, 2024.
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.
D. Stanujkic, D. Karabasevic, G. Popovic, and C. Sava, “Simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) method,” Rom. J. Econ. Forecast., vol. 24, no. 4, p. 141, 2021.
A. Q. Maharani and T. Ardiansah, “Kombinasi Metode Multi-Attribute Utility Theory dan Pivot Pairwise Relative Criteria Importance Assessment Dalam Penentuan Lulusan Terbaik,” J. MEDIA Inform. BUDIDARMA, vol. 7, no. 4, pp. 2074–2086, 2023.
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.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Comparative Analysis of the Combination of MOORA and GRA with PIPRECIA Weighting in the Selection of Warehouse Heads
Pages: 112-122
Copyright (c) 2024 Muhammad Waqas Arshad, Setiawansyah Setiawansyah, Sanriomi Sintaro
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
