Sistem Pendukung Keputusan Penentuan Pelanggan Terbaik Menggunakan Profile Matching

  • A. Ferico Octaviansyah Pasaribu Universitas Teknokrat Indonesia
  • Nuroji Nuroji Universitas Muhammadiyah Prof DR Hamka

Abstract

The purpose of this study is to determine the best customer from the customer loyalty indicator which will measure the extent to which customer loyalty is formed by the company's efforts. So that other customers become more motivated from the rewards given by the company for determining the best customer. The best customer decision support system assists companies in automation and computerization in determining the best customers based on criteria set by the company. The results of data collection obtained the criteria used in determining the best customer, namely total payments, purchase frequency, and type of payment. The results for determining the best customer for rank 1 were obtained by a customer named Sri Widianingsih with a final score of 3.04. Rank 2 was obtained by a customer with the name Ahmad Budiantoro with a final score of 2.9175. Rank 3 is obtained by a customer with the name Kusumaningrum with a final score of 2.5975.

References

S. Maulida, F. Hamidy, and A. D. Wahyudi, “Monitoring Aplikasi Menggunakan Dashboard untuk Sistem Informasi Akuntansi Pembelian dan Penjualan (Studi Kasus: UD Apung),” J. Tekno Kompak, vol. 14, no. 1, 2020.

H. Sulistiani, A. Sulistiyawati, and A. Hajizah, “Perancangan Sistem Pengelolaan Keuangan Komite Menggunakan Web Engineering (Studi Kasus: SMK Negeri 1 Gedong Tataan),” Komputika J. Sist. Komput., vol. 10, no. 2, pp. 163–171, 2021.

D. A. Megawaty, S. Setiawansyah, D. Alita, and P. S. Dewi, “Teknologi dalam pengelolaan administrasi keuangan komite sekolah untuk meningkatkan transparansi keuangan,” Riau J. Empower., vol. 4, no. 2, pp. 95–104, 2021.

M. N. D. Satria, “Application of SAW in the Class Leader Selection Decision Support System,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 1, no. 1, pp. 27–31, 2023.

H. Asnal, M. Efendi, T. A. Fitri, and M. K. Anam, “Sistem Pendukung Keputusan Penunjukan Supplier Pengadaan Perangkat Kesehatan Pada Instalasi Farmasi RSUD Arifin Achmad Pekanbaru Dengan Metode Multifactor Evaluation Process,” SATIN-Sains dan Teknol. Inf., vol. 6, no. 1, pp. 98–105, 2020.

D. D. APRIYANI, “Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Menggunakan Metode Profile Matching,” Fakt. Exacta, vol. 14, no. 1, p. 44, 2021, doi: 10.30998/faktorexacta.v14i1.9057.

S. Sumanto, “Profile Matching Untuk Pemilihan Produk Asuransi Terbaik,” JIMP (Jurnal Inform. Merdeka Pasuruan), vol. 5, no. 1, 2020.

M. Risaldi and T. Kristiana, “PENERAPAN PROFILE MATCHING UNTUK PENILAIAN SISWA TERBAIK PADA SMK WIDYA PATRIA 2 JAKARTA,” Komputa J. Ilm. Komput. dan Inform., vol. 11, no. 2, pp. 86–95, 2022.

R. Nuraini, Y. Daniarti, I. P. Irwansyah, A. A. J. Sinlae, and S. Setiawansyah, “Fuzzy Multiple Attribute Decision Making Menggunakan TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Wireless Router,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 2, pp. 411–419, 2022.

A. A. Aldino, E. D. Pratiwi, Setiawansyah, S. Sintaro, and A. D. Putra, “Comparison Of Market Basket Analysis To Determine Consumer Purchasing Patterns Using Fp-Growth And Apriori Algorithm,” in 2021 International Conference on Computer Science, Information Technology, and Electrical Engineering (ICOMITEE), 2021, pp. 29–34, doi: 10.1109/ICOMITEE53461.2021.9650317.

Published
2023-02-01