Penerapan Metode Entropydan Topsisdalam Seleksi Menentukan Operator Alat Berat PENERAPAN METODE ENTROPY DAN TOPSIS DALAM SELEKSI MENENTUKAN OPERATOR ALAT BERAT Section Articles

##plugins.themes.academic_pro.article.main##

Henny Yulianti
Catur Nugroho

Abstract

The frequent occurrence of traffic violations is a loss for companies providing heavy equipment. This is often experienced by operators while working due to difficulties in controlling heavy equipment, the main cause being that procedures for selecting new heavy equipment operators have not been complied with. There is a need for an approach so that accepted operators can work well in operating heavy equipment and are less likely to get involved in problems when operating heavy equipment and reduce several risks of violations occurring. In solving many selection problems, such as the case that occurred, the decision support method is applied by combining 2 selection criteria approaches carried out by experts so that they can regulate the level of opinion consideration and evaluation objectively in selecting heavy equipment operators. In several writings, the value of the criteria is very dependent on the level of confidence of the experts, so that the Entropy method approach is considered to be able to calculate the weight of the criteria with accurate and objective results. The TOPSIS method is projected to select the operator that causes the least number of traffic violations by obtaining a final ranking of alternatives. The contribution of this research shows that combining these methods has an impact on operator ratings as well as reducing subjective impacts. The results obtained show that alternative A5 is ranked 1st which is recommended for acceptance due to consideration of the calculation approach process based on criteria.

##plugins.themes.academic_pro.article.details##

Author Biography

Catur Nugroho

 

 

How to Cite
Yulianti, H., & Nugroho, C. (2023). Penerapan Metode Entropydan Topsisdalam Seleksi Menentukan Operator Alat Berat: PENERAPAN METODE ENTROPY DAN TOPSIS DALAM SELEKSI MENENTUKAN OPERATOR ALAT BERAT . MULTINETICS , 9(2), 174–181. https://doi.org/10.32722/multinetics.v9i2.6418

References

  1. F. Mizrak, “Evaluation of non-type rated pilot selection criteria in the civil aviation industry with AHP and TOPSIS methods,” Pressacademia, p. 1, Mar. 2023, doi: 10.17261/Pressacademia.2023.1713.
  2. I. Benallou, A. Azmani, and M. Azmani, “A Combined Ahp-Topsis Model For The Evaluation And Selection Of Truck Drivers,” . Vol., No. 7, 2023.
  3. P. Septiana, “Penerapan Metode Ahp Dan Saw Pada Rekomendasi Rumah Kost Mahasiswa (Studi Kasus : Stmik Dharma Wacana Metro),” CJ, vol. 7, no. 1, p. 71, Mar. 2023, doi: 10.22373/cj.v7i1.16840.
  4. Ardil. C, “Aircraft Supplier Selection using Multiple Criteria Group Decision Making Process with Proximity Measure Method for Determinate Fuzzy Set Ranking Analysis,” International Journal of Industrial and Systems Engineering, vol. 17, no. 3, 2023.
  5. B. Zuhri and N. H. Harani, "Aplikasi Rekrutmen Karyawan Menggunakan Artificial Neural Network Dan Flask," JURNAL SISFOTENIKA, Vols. Vol. 13 No. 2,, pp. 125-138, Juli 2023.
  6. V. Arya and S. Kumar, “A Picture Fuzzy Multiple Criteria Decision-Making Approach Based on the Combined TODIM-VIKOR and Entropy Weighted Method,” Cogn Comput, vol. 13, no. 5, pp. 1172–1184, Sep. 2021, doi: 10.1007/s12559-021-09892-z.
  7. A. Majumdar and A. Adhikari, “An integrated TOPSIS-MOORA-based performance evaluation methodology for the key service providers in sharing economy: case of Airbnb superhosts,” BIJ, vol. 28, no. 2, pp. 600–620, Oct. 2020, doi: 10.1108/BIJ-03-2020-0085.
  8. S. Li, Q. Gong, and S. Yang, “A Sustainable, Regional Agricultural Development Measurement System Based on Dissipative Structure Theory and the Entropy Weight Method: A Case Study in Chengdu, China,” Sustainability, vol. 11, no. 19, p. 5313, Sep. 2019, doi: 10.3390/su11195313.
  9. Y. Shen and K. Liao, “An Application of Analytic Hierarchy Process and Entropy Weight Method in Food Cold Chain Risk Evaluation Model,” Front. Psychol., vol. 13, p. 825696, Apr. 2022, doi: 10.3389/fpsyg.2022.825696.
  10. Y. Zhu, D. Tian, and F. Yan, “Effectiveness of Entropy Weight Method in Decision-Making,” Mathematical Problems in Engineering, vol. 2020, pp. 1–5, Mar. 2020, doi: 10.1155/2020/3564835.
  11. P. Chen, “Effects of the entropy weight on TOPSIS,” Expert Systems with Applications, vol. 168, p. 114186, Apr. 2021, doi: 10.1016/j.eswa.2020.114186.
  12. Y. Hou, M. Khokhar, S. Zia, and A. Sharma, “Assessing the Best Supplier Selection Criteria in Supply Chain Management During the COVID-19 Pandemic,” Front. Psychol., vol. 12, p. 804954, Apr. 2022, doi: 10.3389/fpsyg.2021.804954.
  13. G. Aras and F. Mutlu Yıldırım, “Development of capitals in integrated reporting and weighting representative indicators with entropy approach,” SRJ, vol. 18, no. 3, pp. 551–572, Mar. 2022, doi: 10.1108/SRJ-11-2020-0447.
  14. D. S. Costa, H. S. Mamede, and M. M. Da Silva, “A method for selecting processes for automation with AHP and TOPSIS,” Heliyon, vol. 9, no. 3, p. e13683, Mar. 2023, doi: 10.1016/j.heliyon.2023.e13683.
  15. I. Mutmainah and Y. Yunita, “Penerapan Metode Topsis Dalam Pemilihan Jasa Ekspedisi,” SISFOKOM, vol. 10, no. 1, pp. 86–92, Mar. 2021, doi: 10.32736/sisfokom.v10i1.1028.
  16. A. Shekhovtsov and W. Sałabun, "A comparative case study of the VIKOR and TOPSIS rankings similarity," Procedia Computer Science, pp. 3730-3740, 2020.”.
  17. N. Erkhembaatar and O. Bataa, “ENTROPY WEIGHT METHOD FOR EVALUATING INDICATORS OF ICT DEVELOPMENT INDEX,” vol. 9, no. 12, 2020.
  18. M. Keshavarz-Ghorabaee, M. Amiri, E. K. Zavadskas, Z. Turskis, and J. Antucheviciene, “Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC),” Symmetry, vol. 13, no. 4, p. 525, Mar. 2021, doi: 10.3390/sym13040525.
  19. J. Quan, B. Zeng, and L. Wang, “Maximum entropy methods for weighted grey incidence analysis and applications,” GS, vol. 8, no. 2, pp. 144–155, Apr. 2018, doi: 10.1108/GS-12-2017-0047.
  20. Information Systems Department Faculty of Computers and Information Sciences Mansoura University, Egypt, N. A. Nabeeh, Information Systems Department Faculty of Computers and Informatics Zagazig University, Egypt, and A. A. Tantawy, “A Neutrosophic Model for Blockchain Platform Selection based on SWARA and WSM,” NIF, vol. 1, no. 2, pp. 29–43, 2023, doi: 10.54216/NIF.010204.
  21. Y. Hu, S. Yu, S. Qin, D. Chen, J. Chu, and Y. Yang, “How to extract traditional cultural design elements from a set of images of cultural relics based on F-AHP and entropy,” Multimed Tools Appl, vol. 80, no. 4, pp. 5833–5856, Feb. 2021, doi: 10.1007/s11042-020-09348-w.
  22. N. F. Silva, M. Dos Santos, C. F. S. Gomes, and L. P. De Andrade, “An integrated CRITIC and Grey Relational Analysis approach for investment portfolio selection,” Decision Analytics Journal, vol. 8, p. 100285, Sep. 2023, doi: 10.1016/j.dajour.2023.100285.
  23. D. Suryadi, R. S. Rulatif, and I. Mulyana, “Sistem Pendukung Keputusan Pemilihan Alat Pembersih Udara Terbaik Menggunakan Metode Entropi dan Vikor,” 2023.
  24. R. G. Tampubolon and M. Syahrizal, “Analisa Perbandingan Metode Moora Dan Waspas Berbasis Pembobotan Entropy Dalam Pemilihan Housekeeping Terbaik,” vol. 2, no. 3, 2023.
  25. W. T. D. Rangkuti and A. F. Siregar, “Penerapan Metode MAUT Dan Pembobotan Entropy Dalam Penilaian Kinerja Supervisor,” vol. 8, 2023.
  26. A. Eren and H. Khorsheed, “Determining Online Travel Planning with AHP and TOPSIS Methods,” acin, vol. 0, no. 0, pp. 0–0, Apr. 2023, doi: 10.26650/acin.1165378.
  27. R. Ambrin, M. Ibrar, M. De La Sen, I. Rabbi, and A. Khan, “Extended TOPSIS Method for Supplier Selection under Picture Hesitant Fuzzy Environment Using Linguistic Variables,” Journal of Mathematics, vol. 2021, pp. 1–28, Apr. 2021, doi: 10.1155/2021/6652586.
  28. N. Hanin, “Implementation Of Ahp-Topsis As A Support For Making Decisions On Micro Business Funding In Sambas Regency,” International Journal, vol. 7, no. 1, 2023.
  29. A. S. Annisa Nurjanah, “Sistem Pendukung Keputusan Penentuan Model Pembelajaran Untuk Guru Dengan Metode Analytical Hierarchy Process (Studi Kasus: Smk Pgri Telagasari),” Sep. 2022, doi: 10.5281/ZENODO.7069500.
  30. C. N. Sari and A. M. H. Sihite, “Penerapan Metode Maut Dalam Pemilihan Wartawan Terbaik Dengan Pembobotan Entropy (Kasus Koran Radar Group),” vol. 8, 2023.
  31. A. Ahyuna, B. Rahman, F. Nugroho, I. W. S. Nirawana, and A. Karim, “Analisa Penerapan Metode MABAC dengan Pembobotan Entropy dalam Penilaian Kinerja Dosen di Era Society 5.0,” bits, vol. 5, no. 1, Jun. 2023, doi: 10.47065/bits.v5i1.3511.