Analisis Perbandingan Metode SMART dan MOORA Dalam Penentuan Pelanggan Terbaik

Very Hendra Saputra; Nuroji

doi:10.58602/mediajawadwipa.v1i2.48

Very Hendra Saputra Universitas Teknokrat Indonesia
Nuroji Universitas Muhammadiyah Prof. DR. HAMKA

DOI: https://doi.org/10.58602/mediajawadwipa.v1i2.48

Keywords: MOORA, Comparison, Customer, SMART, Best

Abstract

Determining the best customers is a critical process in customer management where companies seek to identify and assess customers who contribute most significantly to business success. The problem that occurs in determining the best customer is that there is no method used in determining the best customer, so far only based on the number of purchases from customers without any other aspects that are decisive. This study aims to apply and compare the determination of the best customers using the SMART and MOORA methods so as to provide better insight to decision makers about the choice of method that best suits the characteristics and complexity of the decision at hand. The ranking results show that the best customers are obtained by Sulistia with rank 1 either using the SMART method or the MOORA method. A comparison of ranking results between the SMART and MOORA methods can provide useful insight into the extent to which both methods are effective in addressing multi-criteria decision making. Based on the results of the ranking comparison between the SMART and MOORA methods, there are differences in rankings in 2 data, namely on behalf of Handoko with the SMART method getting rank 3 and with the MOORA method getting rank 2, and on behalf of Subagio with the SMART method getting rank 2 and with the MOORA method getting rank 3. The results of the comparison between the SMART and MOORA methods in determining the best customers recommend the MOORA method compared to the SMART method, because the results of the conformity level of the MOORA method get a value of 99.996% higher than the SMART method which gets a value of 99.995%.

References

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.

A. F. O. Pasaribu and N. Nuroji, “Sistem Pendukung Keputusan Penentuan Pelanggan Terbaik Menggunakan Profile Matching,” J. Data Sci. Inf. Syst., vol. 1, no. 1, pp. 24–31, 2023.

M. Modeong and M. I. Siami, “Penerapan VIKOR Method (VIšekriterijumsko KOmpromisno Rangiranje Method) Dalam Rekomendasi Pemilihan Laptop Gaming,” J. Ilm. Comput. Sci., vol. 1, no. 2, pp. 49–57, 2023, doi: 10.58602/jics.v1i2.6.

A. D. Wahyudi, “Penerapan Metode Evaluation based on Distance from Average Solution (EDAS) Untuk Penentuan Ketua OSIS,” J. Ilm. Inform. dan Ilmu Komput., vol. 1, no. 1, pp. 33–45, 2022.

S. Sintaro and T. Yulianti, “SPK Pemilihan Calon Mekanik pada Perusahaan Transportasi Antar Kota Menggunakan Metode Analytic Hierarki Process (AHP),” J. Media Celeb., vol. 1, no. 2, pp. 66–75, 2024.

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. N. D. Satria and V. H. Saputra, “Sistem Pendukung Keputusan Pemilihan Karyawan Teladan Menggunakan Metode Simple Multi-Attribute Rating Technique,” J. Media Swarnadwipa, vol. 1, no. 1, pp. 7–13, 2023.

D. Borissova and D. Keremedchiev, “Group decision making in evaluation and ranking of students by extended simple multi-attribute rating technique,” Cybern. Inf. Technol., vol. 19, no. 3, pp. 45–56, 2019.

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.

D. Mahdiana and N. Kusumawardhany, “The combination of analytical hierarchy process and simple multi-attribute rating technique for the selection of the best lecturer,” in 2020 International Conference on Smart Technology and Applications (ICoSTA), 2020, pp. 1–5.

A. Yanda and M. Mesran, “Penentuan Penerima Bantuan Pangan Non Tunai (BPNT) Menerapkan Metode Multi Objective Optimization on the Basis of Ratio Analysis (MOORA),” Bull. Informatics Data Sci., vol. 1, no. 2, pp. 38–45, 2022.

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,” in Journal of Physics: Conference Series, 2023, vol. 2484, no. 1, p. 12007.

D. Handoko, “Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Dalam Penentuan Lokasi Pemasaran Produk,” J. Media Celeb., vol. 1, no. 2, pp. 86–92, 2024.

S. Chakraborty, H. N. Datta, K. Kalita, and S. Chakraborty, “A narrative review of multi-objective optimization on the basis of ratio analysis (MOORA) method in decision making,” OPSEARCH, pp. 1–44, 2023, doi: 10.1007/s12597-023-00676-7.

I. Oktaria, T. M. Fawa’ati, and D. Brajannoto, “Penerapan AHP Untuk Menentukan Kepuasan Pelanggan Sebagai Dasar Penentuan Unit Kerja Terbaik,” J. Teknol. Dan Inform., vol. 4, no. 1, 2023.

R. Mugiarso, “PENENTUAN PERINGKAT PELANGGAN TERBAIK MENGGUNAKAN METODE RANK ORDER CENTROID DAN WEIGHTED PRODUCT (STUDI KASUS ONESNET),” Aisyah J. Informatics Electr. Eng., vol. 5, no. 2, pp. 135–140, 2023.

A. T. Priandika and S. Setiawansyah, “Digitalisasi Aplikasi Keuangan Untuk Koperasi pada Dinas UMKM Provinsi Lampung,” J. Abdimas Teknol. Inf. dan Digit., vol. 1, no. 1, pp. 17–23, 2023, doi: 10.58602/jati-dig.v1i1.21.