Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Kombinasi Pembobotan Logarithmic Least Square dan MOORA
Abstract
The best customers are individuals or groups who not only transact frequently but also provide more value to the business through loyalty, positive feedback, and referrals to others. They typically show a high level of satisfaction with the product or service offered, potentially bringing in new customers and improving the company's reputation. Selecting the best customers is often faced with a variety of issues that can affect the accuracy and effectiveness of the process. One of the main problems that occurs is the lack of a model used in determining the best customers. The purpose of this research is to implement a system that is able to effectively and accurately identify the best customers by integrating the LLS weighting technique and the MOORA method. In addition, this study also aims to overcome the shortcomings of existing weighting and evaluation methods by integrating the two techniques, providing a more robust and adaptive solution in the context of data-based decision-making. The ranking results in determining the best customers obtained the result, namely Sabtoni occupies the first position with the highest score of 0.47344. Furthermore, Zahra is in second place with a score of 0.39815, followed by Tuty with a value of 0.39498 in third place.
Downloads
References
W. T. Devi, M. Mesran, and A. F. Siregar, “Penerapan Sistem Pendukung Keputusan Dalam Penilaian Kinerja Supervisor Dengan Menggunakan Metode Maut Dan Pembobotan Entropy,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 8, no. 2, pp. 744–757, 2023.
Y. Yun, D. Ma, and M. Yang, “Human–computer interaction-based decision support system with applications in data mining,” Futur. Gener. Comput. Syst., vol. 114, pp. 285–289, 2021, doi: https://doi.org/10.1016/j.future.2020.07.048.
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.
F. J. Mahendra and S. Setiawansyah, “Sistem Pendukung Keputusan Penilaian Kinerja Tenaga Honor Panitia Pengawas Menggunakan Kombinasi Logarithmic Least Squares Weighting dan MABAC,” J. Comput. Syst. Informatics, vol. 5, no. 3, pp. 636–647, 2024, doi: 10.47065/josyc.v5i3.5158.
A. Yudhistira, “Sistem Pendukung Keputusan Rekrutmen Staff Marketing Menggunakan Metode Analytical Hierarchy Process,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 2, no. 2, pp. 88–98, 2024, doi: 10.58602/itsecs.v2i2.110.
P. Citra, H. B. Santoso, and I. W. Sriyasa, “Sistem Pendukung Keputusan Pemilihan E-Commerce Menggunakan Pembobotan Entropy dan COPRAS,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 1, pp. 36–45, 2024, doi: 10.58602/jima-ilkom.v3i1.25.
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.
M. W. Arshad, S. Setiawansyah, and S. Sintaro, “Comparative Analysis of the Combination of MOORA and GRA with PIPRECIA Weighting in the Selection of Warehouse Heads,” BEES Bull. Electr. Electron. Eng., vol. 4, no. 3, pp. 112–122, Mar. 2024, doi: 10.47065/bees.v4i3.4922.
T. Barik, S. Parida, and K. Pal, “Optimizing the input parameters setting for least hole defects while drilling CFRP laminates by multi-objective optimization on the basis of ratio analysis (MOORA) method,” J. Phys. Conf. Ser., vol. 2484, no. 1, p. 012007, May 2023, doi: 10.1088/1742-6596/2484/1/012007.
M. Mesran, M. Kom, J. H. Lubis, and I. F. Rahmad, “Penerapan Metode Multi-Objective Optimization on the Basic of Ratio Analysis (MOORA) dalam Keputusan Penerimaan Siswa Baru,” Bull. Informatics Data Sci., vol. 1, no. 2, pp. 73–80, 2022.
C. S. Dhanalakshmi, M. Mathew, and P. Madhu, “Biomass material selection for sustainable environment by the application of multi-objective optimization on the basis of ratio analysis (MOORA),” in Materials, Design, and Manufacturing for Sustainable Environment: Select Proceedings of ICMDMSE 2020, 2021, pp. 345–354. doi: 10.1007/978-981-15-9809-8_28.
M. Suwito and E. Yuliawati, “Strategi Pemilihan Supplier Mesin Turbocharger Menggunakan Metode Analytical Hierarchy Process dan Multi-Objective Optimization Method By Ratio Analysis,” JURMATIS (Jurnal Manaj. Teknol. dan Tek. Ind., vol. 6, no. 1 SE-Articles, Jan. 2024, doi: 10.30737/jurmatis.v6i1.4782.
L. Csató, “A characterization of the Logarithmic Least Squares Method,” Eur. J. Oper. Res., vol. 276, no. 1, pp. 212–216, Jul. 2019, doi: 10.1016/j.ejor.2018.12.046.
E. Khanmohammadi, B. Malmir, H. Safari, and M. Zandieh, “A new approach to strategic objectives ranking based on fuzzy logarithmic least squares method and fuzzy similarity technique,” Oper. Res. Perspect., vol. 6, p. 100122, 2019, doi: 10.1016/j.orp.2019.100122.
P. Wu, H. Li, L. Zhou, and H. Chen, “Consistency analysis and priority weights of multiplicative trapezoidal fuzzy preference relations based on multiplicative consistency and logarithmic least square model,” J. Intell. Fuzzy Syst., vol. 37, no. 6, pp. 8317–8334, Dec. 2019, doi: 10.3233/JIFS-190846.
S. Bozóki and V. Tsyganok, “The (logarithmic) least squares optimality of the arithmetic (geometric) mean of weight vectors calculated from all spanning trees for incomplete additive (multiplicative) pairwise comparison matrices,” Int. J. Gen. Syst., vol. 48, no. 4, pp. 362–381, May 2019, doi: 10.1080/03081079.2019.1585432.
V. M. M. Siregar, S. Sonang, and E. Damanik, “SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PELANGGAN TERBAIK MENGGUNAKAN METODE WEIGHTED PRODUCT,” J. Tekinkom (Teknik Inf. dan Komputer), vol. 4, no. 2, pp. 239–244, 2021.
M. Yusuf, “Sistem Pendukung Keputusan Untuk Menentukan Pelanggan Terbaik Pada Pizza Oei-Oei Medan Menggunakan Metode SAW,” J. Ilmu Komput. Dan Sist. Inf., vol. 4, no. 2, pp. 51–58, 2021.
P. Natasa, B. C. Putra, A. Ariesta, and Y. Yuliazmi, “Sistem Penunjang Keputusan Pemilihan Pelanggan Prioritas Dengan Metode SAW Pada PT. Tixpro Informatika Megah,” J. Ticom Technol. Inf. Commun., vol. 11, no. 3, pp. 138–144, 2023.
E. I. Sinaga, K. Naipospos, A. P. Nasution, and D. Pratiwi, “PENERAPAN METODE AHP DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK MENILAI DAN MEMILIH PELANGGAN TERBAIK PADA BISNIS LAUNDRY DI (AIR BATU),” JUTSI J. Teknol. dan Sist. Inf., vol. 4, no. 2, pp. 131–140, 2024.
P. Hasan and Heru Sutejo, “SISTEM PENDUKUNG KEPUTUSAN SELEKSI PELANGGAN TERBAIK INDIHOME CUSTOMER GATHERING MENGGUNAKAN METODE WP (STUDI KASUS: PT. TELKOM WITEL PAPUA),” Tek. Teknol. Inf. dan Multimed., vol. 5, no. 1, pp. 34–40, Jun. 2024, doi: 10.46764/teknimedia.v5i1.185.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Kombinasi Pembobotan Logarithmic Least Square dan MOORA
Pages: 1860-1868
Copyright (c) 2024 Setiawan Rifaldo, Adhie Thyo Priandika

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).