Penerapan Sistem Pendukung Keputusan Pemilihan Cleaning Servis Terbaik Menggunakan Kombinasi Metode Pembobotan Entropy dan COPRAS


  • Reflan Nuari * Mail Universitas Teknokrat, Indonesia
  • Setiawansyah Setiawansyah Universitas Teknokrat, Indonesia
  • Mesran Mesran Universitas Budi Darma, Indonesia
  • (*) Corresponding Author
Keywords: COPRAS; Entropy; Candidate; Performance; Combination

Abstract

The main problem in choosing the best cleaning service is often a challenge because it involves a variety of complex and subjective criteria. Cleaning service performance assessments are not only based on factors such as speed and efficiency in work, but also include other aspects such as cleanliness of work results, interpersonal skills, and the ability to comply with safety procedures. The purpose of this research is to implement a system that is able to evaluate and select cleaning service providers objectively and effectively. The Entropy method to measure and assign weights to relevant criteria in the assessment of cleaning service providers, based on the information contribution of each criterion. The COPRAS method to assess and compare various alternative cleaning service providers based on the weight of predetermined criteria, so as to identify the service provider that best meets the desired needs and standards. Based on the results of the ranking that has been carried out by applying the entropy and COPRAS weighting methods, Hadi Santoso occupies the top position with a perfect score of 100, showing that he is the best cleaning service employee among other candidates. Dewi Lestari is ranked second with a score of 96.07, which also shows a very good performance but slightly below Hadi. Meanwhile, Haryani occupies third place with a score of 92.46. Even though it is in last place, this score still reflects a fairly satisfactory performance. This difference in scores indicates a variation in the performance aspects assessed, so that it can be used as a basis for decision-making for awards or service quality improvement.

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References

T. Janovac et al., “Assessment and Ranking of the Behavioural Leadership Model in the Process of Implementing Reforms in Public Sector of the Republic of Serbia Using the PIPRECIA Method,” Sustainability, vol. 15, no. 13, p. 10315, Jun. 2023, doi: 10.3390/su151310315.

T. ÖZTAŞ and G. Z. ÖZTAŞ, “Innovation Performance Analysis of G20 Countries: A Novel Integrated LOPCOW-MAIRCA MCDM Approach Including the COVID-19 Period,” Veriml. Derg., pp. 1–20, Jan. 2024, doi: 10.51551/verimlilik.1320794.

A. R. Mishra, P. Rani, F. Cavallaro, I. M. Hezam, and J. Lakshmi, “An Integrated Intuitionistic Fuzzy Closeness Coefficient-Based OCRA Method for Sustainable Urban Transportation Options Selection,” Axioms, vol. 12, no. 2, p. 144, Jan. 2023, doi: 10.3390/axioms12020144.

D. Tešić, M. Radovanović, D. Božanić, D. Pamucar, A. Milić, and A. Puška, “Modification of the DIBR and MABAC Methods by Applying Rough Numbers and Its Application in Making Decisions,” Information, vol. 13, no. 8, p. 353, Jul. 2022, doi: 10.3390/info13080353.

D. Asdini, M. Khairat, and D. P. Utomo, “Sistem Pendukung Keputusan Penilaian Kinerja Manajer di PT. Pos Indonesia dengan Metode WASPAS,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 1, p. 41, Feb. 2022, doi: 10.30865/jurikom.v9i1.3767.

R. R. Purba, M. Mesran, M. T. A. Zaen, S. Setiawansyah, D. Siregar, and E. W. Ambarsari, “Decision Support System in the Best Selection Coffee Shop with TOPSIS Method,” IJICS (International J. Informatics Comput. Sci., vol. 7, no. 1, p. 28, Mar. 2023, doi: 10.30865/ijics.v7i1.6157.

G. M. Magableh, “An integrated model for rice supplier selection strategies and a comparative analysis of fuzzy multicriteria decision-making approaches based on the fuzzy entropy weight method for evaluating rice suppliers,” PLoS One, vol. 19, no. 4, p. e0301930, Apr. 2024, doi: 10.1371/journal.pone.0301930.

P. Rani, A. R. Mishra, and A. Mardani, “An extended Pythagorean fuzzy complex proportional assessment approach with new entropy and score function: Application in pharmacological therapy selection for type 2 diabetes,” Appl. Soft Comput., vol. 94, p. 106441, 2020.

C. Z. Radulescu and M. Radulescu, “A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems,” Electronics, vol. 13, no. 4, p. 789, Feb. 2024, doi: 10.3390/electronics13040789.

T. Widodo, “Penerapan Metode Complex Proportional Assessment Dalam Penentuan Ketua Karang Taruna,” J. Ilm. Comput. Sci., vol. 1, no. 2, pp. 88–98, 2023, doi: 10.58602/jics.v1i2.10.

D. Alamsyah, R. Nuraini, and M. Bagir, “Implementasi Metode Complex Proportional Asessment (COPRAS) Pada Sistem Pendukung Keputusan Pemilihan Bluetooth Audio Transmitter,” J. Comput. Syst. Informatics, vol. 3, no. 3, pp. 123–132, 2022.

Q. Wang, T. Cheng, Y. Lu, H. Liu, R. Zhang, and J. Huang, “Underground Mine Safety and Health: A Hybrid MEREC–CoCoSo System for the Selection of Best Sensor,” Sensors, vol. 24, no. 4, p. 1285, Feb. 2024, doi: 10.3390/s24041285.

A. Puška, A. Štilić, and I. Stojanović, “Approach for multi-criteria ranking of Balkan countries based on the index of economic freedom,” J. Decis. Anal. Intell. Comput., vol. 3, no. 1, pp. 1–14, Dec. 2023, doi: 10.31181/jdaic10017022023p.

A. D. Wahyudi, S. Sumanto, S. Setiawansyah, and A. Yudhistira, “Sistem Pendukung Keputusan Rekomendasi Hotel Bintang Tiga Menggunakan Kombinasi Entropy dan Combine Compromise Solution,” Bull. Artif. Intell., vol. 3, no. 1, pp. 16–25, Apr. 2024, doi: 10.62866/buai.v3i1.142.

S. I. Ali et al., “Risk prioritization in a core preparation experiment using fuzzy VIKOR integrated with Shannon entropy method,” Ain Shams Eng. J., vol. 15, no. 2, p. 102421, Feb. 2024, doi: 10.1016/j.asej.2023.102421.

D. D. Trung and H. X. Thinh, “A multi-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study,” Adv. Prod. Eng. Manag., vol. 16, no. 4, pp. 443–456, Dec. 2021, doi: 10.14743/apem2021.4.412.

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.

A. I. Petrov, “Entropy Method of Road Safety Management: Case Study of the Russian Federation,” Entropy, vol. 24, no. 2, p. 177, Jan. 2022, doi: 10.3390/e24020177.

A. Rahma Soraya, I. Hartami Santi, and D. Fanny Hebrasianto Permadi, “PEMILIHAN PERUSAHAAN OUTSOURCING CLEANING SERVICE MENGGUNAKAN METODE PROFILE MATCHING PADA DISPORA KOTA BLITAR,” JATI (Jurnal Mhs. Tek. Inform., vol. 6, no. 2, pp. 758–766, Oct. 2022, doi: 10.36040/jati.v6i2.5715.

A. Hia, M. Marsono, and T. Syahputra, “Sistem Pendukung Keputusan Menentukan Performance Cleaning Service Menggunakan Metode COPRAS,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 1, no. 3, p. 157, May 2022, doi: 10.53513/jursi.v1i3.5120.

C. Kirana, Y. Yurindra, and S. Supardi, “Implementasi Algoritma SAW (Simple Additive Weighting) Pada Aplikasi Penilaian Kinerja Karyawan Cleaning Service PT. Haleyora Powerindo,” Brahmana J. Penerapan Kecerdasan Buatan, vol. 5, no. 1, pp. 106–114, 2023, doi: 10.30645/brahmana.v5i1.283.g280.

T. H. Sulistyanto, R. S. Mistina, and Y. Heryani, “TH Validasi Kriteria Pemilihan Karyawan Terbaik menggunakan Multi Criteria Decision Making (MCDM) (Studi Kasus Pada PT AIND),” Eqien - J. Ekon. dan Bisnis, vol. 13, no. 01, pp. 140–148, Apr. 2024, doi: 10.34308/eqien.v13i01.1716.

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.

Setiawansyah, A. A. Aldino, P. Palupiningsih, G. F. Laxmi, E. D. Mega, and I. Septiana, “Determining Best Graduates Using TOPSIS with Surrogate Weighting Procedures Approach,” in 2023 International Conference on Networking, Electrical Engineering, Computer Science, and Technology (IConNECT), 2023, pp. 60–64. doi: 10.1109/IConNECT56593.2023.10327119.


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Article History
Submitted: 2024-08-15
Published: 2024-09-30
Abstract View: 523 times
PDF Download: 351 times
How to Cite
Nuari, R., Setiawansyah, S., & Mesran, M. (2024). Penerapan Sistem Pendukung Keputusan Pemilihan Cleaning Servis Terbaik Menggunakan Kombinasi Metode Pembobotan Entropy dan COPRAS. Building of Informatics, Technology and Science (BITS), 6(2), 1169-1180. https://doi.org/10.47065/bits.v6i2.5796
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