Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Dalam Penentuan Lokasi Pemasaran Produk

  • Dwi Handoko Institut Teknologi dan Bisnis Diniyyah Lampung

Abstract

Product marketing location determination is a strategic decision that requires in-depth analysis to maximize market reach and distribution efficiency. One of the main problems is the high level of competition in an area, which can reduce the attractiveness of a business and limit growth. In addition, a mistake in understanding the dominant customer profile in a particular location can result in a mismatch between the product offering and market needs. This study aims to determine the location of product marketing by utilizing a decision support system technology and applying the MOORA method as an approach in recommending a decision. The ranking results of the MOORA method recommend Location 1 as a product marketing location with a final value of 0.5379 by getting a rank of 1, Location 3 as a product marketing location with a final value of 0.4907 by getting a rank 2, and Location 1 as a product marketing location with a final value of 0.4742 by getting a rank 3.

References

A. Herdiansyah, J. F. Andry, S. Setiawansyah, Y. M. Kristania, and S. Sintaro, Sistem pendukung keputusan strategis menggunakan ranking methods. Bandar Lampung: CV. Keranjang Teknologi Media. [Online]. Available: https://buku.techcartpress.com/detailebook.php?id=24

S. Setiawansyah, A. Surahman, A. T. Priandika, and S. Sintaro, Penerapan Sistem Pendukung Keputusan pada Sistem Informasi. Bandar Lampung: CV Keranjang Teknologi Media, 2023. [Online]. Available: https://buku.techcartpress.com/detailebook?id=1/penerapan-sistem-pendukung-keputusan-pada-sistem-informasi/setiawansyah-ade-surahman-adhie-thyo-priandika-sanriomi-sintaro

H. Sulistiani, U. Adji, and S. Maryana, “Sistem Pendukung Keputusan Dalam Memilih Bibit Kedelai Menggunakan Kombinasi Metode TOPSIS dan ROC,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 3, pp. 1381–1389, 2023.

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.

A. Surahman, “Penilaian Kinerja Karyawan Menggunakan Kombinasi Metode Multi-Objective Optimization by Ratio Analysis (MOORA) dan Pembobotan Entropy,” Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 2, no. 1, pp. 28–36, 2024.

R. T. Aldisa, “Sistem Pendukung Keputusan Pemilihan Barista Coffee Terbaik Menerapkan Metode Multi Objective Optimization on The Basis of Ratio Analysis (MOORA) dan ROC,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 3, no. 6, pp. 1022–1030, 2023.

A. I. Lubis, P. Sihombing, and E. B. Nababan, “Comparison SAW and MOORA Methods with Attribute Weighting Using Rank Order Centroid in Decision Making,” in 2020 3rd International Conference on Mechanical, Electronics, Computer, and Industrial Technology (MECnIT), 2020, pp. 127–131.

D. Pasha, A. S. Puspaningrum, and D. I. E. Eritiana, “Permodelan E-Posyandu Untuk Perkembangan Balita Menggunakan Extreme Programming,” J. Data Sci. Inf. Syst., vol. 1, no. 1, pp. 1–8, 2023.

M. N. D. Satria, “Sistem Pendukung Keputusan Penerimaan Staff Administrasi Menggunakan Metode VIKOR,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 39–49, 2023.

F. S. Amalia, “Application of SAW Method in Decision Support System for Determination of Exemplary Students,” J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 1, no. 1, pp. 14–21, 2023.

S. H. Hadad et al., “Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method,” J. Comput. Syst. Informatics, vol. 5, no. 1, 2023, doi: 10.47065/josyc.v5i1.4544.

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.

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.

N. P. Siburian and L. Sahriani, “Sistem Pendukung Keputusan Pemilihan Pegawai Honorer Kelurahan Menerapkan Metode MOORA,” TIN Terap. Inform. Nusant., vol. 3, no. 10, pp. 395–404, 2023.

R. R. Hadistio, H. Mawengkang, and M. Zarlis, “Application of The MOORA Method and Rank Order Centroid for Admission Recommendation System Power Programmer,” CESS (Journal Comput. Eng. Syst. Sci., vol. 7, no. 1, pp. 253–261.

Published
2024-01-18
How to Cite
Handoko, D. (2024). Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) Dalam Penentuan Lokasi Pemasaran Produk. Jurnal Media Celebes, 1(2), 86-92. https://doi.org/10.58602/mediacelebes.v1i2.44