Sistem Pendukung Keputusan Menentukan E-Commerce Terbaik Menggunakan Metode Topsis
(1) Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
(2) Universitas Budi Darma, Medan, Indonesia
(3) Universitas Budi Darma, Medan, Indonesia
(*) Corresponding Author
Abstract
One of the trading activities that has become increasingly popular recently is online buying and selling transactions. The development of the digital world indirectly influences the growth of online buying and selling transactions or e-commerce. This rapid growth has led to a variety of service and product offerings from various e-commerce platforms, often leaving users confused about choosing the platform that best fits their needs and availability. Users frequently face complex questions such as which platform offers the best service quality, which platform provides the most optimal transaction security, and which platform is the most reliable for transactions. Therefore, an evaluation is needed to help users assess which platform best meets their needs. This study utilizes the TOPSIS method, as this method is considered to have a simple concept in producing alternative decisions in an accurate mathematical form. The results of this study, using 5 criteria and 8 alternative e-commerce platforms, indicate that Shopee (A1) is the best alternative with a score of 0.9564.
Full Text:
PDFReferences
K. K. Kale, “A Study on Benefits and Challenges in an Emerging Economy,” Int. J. Res. Soc. Sci. Inf. Stud., vol. 8, no. 3, pp. 92–99, 2022.
M. P. Tana, F. Marisa, and I. D. Wijaya, “Penerapan Metode Data Mining Market Basket Analysis Terhadap Data Penjualan Produk Pada Toko Oase Menggunakan Algoritma Apriori,” JIMP-Jurnal Inform. Merdeka Pasuruan, vol. 3, no. 2, 2018.
R. Irawati and I. B. Prasetyo, “Pemanfaatan Platform E-Commerce Melalui Marketplace Sebagai Upaya Peningkatan Penjualan dan Mempertahankan Bisnis di Masa Pandemi (Studi pada UMKM Makanan dan Minuman di Malang),” J. Penelit. Manaj. Terap., vol. 6, no. 2, pp. 114–133, 2021.
E. A. Tsaniya and R. Sulaiman, “Aplikasi Intuitionistic Fuzzy Multisets Dalam Pemilihan E-commerce Terbaik,” MATHunesa J. Ilm. Mat., vol. 9, no. 3, pp. 484–493, 2021.
I. Irwan, I. M. Pandiangan, and M. Mesran, “Penerapan Kombinasi Metode ROC dan TOPSIS Pemilihan Karyawan Terbaik Untuk Rekomendasi Promosi Jabatan,” JURIKOM (Jurnal Ris. Komputer), vol. 9, no. 4, pp. 1151–1159, 2022.
Z. Zulvitri and S. Sumijan, “Identifikasi dalam Penentuan Prioritas Usulan Kenaikan Jabatan Fungsional Pegawai Menggunakan Metode TOPSIS,” J. Sistim Inf. dan Teknol., pp. 169–175, 2021.
F. A. Siregar, F. S. Hutagalung, and M. Basri, “Perbandingan Algoritma MOORA dan Profile Matching pada Sistem Pemilihan Pupuk untuk Tanaman Porang,” J. Sist. Komput. dan Inform., vol. 5, no. 1, pp. 150–159, 2023.
J. Hutahaean and N. Mulyani, “Implementasi Pemilihan Pimpinan Karyawan Operasioal Konveksi Pakaian Menggunakan Metode ROC (Rank Order Centroid) dan TOPSIS,” J. Media Inform. Budidarma, vol. 5, no. 4, pp. 1369–1376, 2021.
N. Putra, D. R. Habibie, and I. F. Handayani, “Sistem Pendukung Keputusan Pemilihan Supplier Pada Tb. Nameene Dengan Metode Simple Additive Weighting (Saw),” JURSIMA (Jurnal Sist. Inf. dan Manajemen), vol. 8, no. 1, pp. 45–51, 2020.
C. Nas, S. Defit, and J. Santony, “Evaluasi Mutasai Jabatan Anggota Kepolisian Menggunakan Metode Profile Matching dan Multi Attribute Utility Theory,” SITEKIN J. Sains, Teknol. dan Ind., vol. 16, no. 1, pp. 30–36, 2018.
B. D. Juniansyah, E. R. Susanto, and A. D. Wahyudi, “Pembuatan E-Commerce Pemesanan Jasa Event Organizer Untuk Zero Seven Entertaiment,” J. Tekno Kompak, vol. 14, no. 1, p. 41, 2020, doi: 10.33365/jtk.v14i1.499.
M. S. Lauryn, M. Ibrohim, and A. Fasambi, “Penerapan metode topsis dalam penentuan penerima dana bantuan masyarakat usaha mikro kecil menengah,” ProTekInfo (Pengembangan Ris. dan Obs. Tek. Inform., vol. 10, no. 1, pp. 1–5, 2023.
DOI: https://doi.org/10.30645/kesatria.v5i3.419
DOI (PDF): https://doi.org/10.30645/kesatria.v5i3.419.g415
Refbacks
- There are currently no refbacks.
Published Papers Indexed/Abstracted By: