Decision Support System of Determining E-Commerce With The Topsis and Comparation With Ahp for UMKM In the Tuban Regency Area
Abstract
E-Commerce has had a major impact on social and economic growth in society. However, E-Commerce system is not always profitable for UMKM actors themselves, there are several factors that cause UMKM quality assessments to decline from tight competitiveness. Many consumers consider buying products from the many existing E-Commerce systems. For this reason, this goal is to implement a decision support system in determining E-Commerce using the TOPSIS method with AHP method. Of course, in implementing a decision support system, it is necessary to have assessment criteria and a number of alternatives that will be used as a reference to determine E-Commerce for UMKM by calculating the TOPSIS method which will produce the final result of the value of each E-Commerce in the form of ranking. From research conducted on 38 UMKM in Tuban Regency, the results of E-Commerce Shopee are 60.5%, Tokopedia 15.8%, Blibli 10.5%, Lazada 7.9% and Bukalapak 5.3%. The data will be grouped from each alternative to find the average value based on predetermined criteria and calculated using the TOPSIS method AHP method, it can be concluded that the E-Commerce that is widely used by UMKM in the Tuban Regency area is Shopee > Tokopedia > Bukalapak > Lazada > Blibli. while with AHP resulted in the order of Tokopedia > Shopee > Bukalapak > Blibli > Lazada.
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M. R. Baan, “Sejak Kapan Masyarakat Indonesia Nikmati Internet?,†STEI-ITB. [Online]. Available: https://stei.itb.ac.id/blog/2017/06/19/sejak-kapan-masyarakat-indonesia-nikmati-internet/. [Accessed: 26-Juni-2021].
D. Chahyanti, “Mengapa E-Commerce Berkembang Pesat di Indonesia?,†timesindonesia.co.id. [Online]. Available: https://www.timesindonesia.co.id/read/news/386502/mengapa-ecommerce-berkembang-pesat-di-indonesia. [Accessed: 29-Desember-2021].
Nuryanti, Peran E-Commerce Untuk Meningkatkan Daya Saingusaha Kecil Dan Menengah( UKM ), Jurnal Ekonomi, vol. 21, no. 4, 2013, pp. 1-15.
M. I. Dzulhaq, A. Sidik, and D. A. Ulhaq, Sistem Pendukung Keputusan Untuk Membandingkan Marketplace Terbaik Dengan Menggunakan Metode AHP Dan AHP, Academic Journal of Computer Science Research, vol. 1, no. 1, 2019, pp. 13–22.
A. Setiyadi and R. D. Agustia, Penerapan Metode AHP Dalam Memilih Marketplace E-Commerce Berdasarkan Software Quality And Evaluation Iso / Iec 9126-4 Untuk UMKM, Ikra-Ith Informatika: Jurnal Komputer dan Informatika, vol. 2, no. 3, 2018, pp. 61–70.
I. Pratistha, A. Mahadewa, and P. Sugiartawan, Sistem Pendukung Keputusan Kelompok Pemilihan e-commerce/marketplace menggunakan metode profile matching dan BORDA, Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI), vol. 1, no. 1, 2018, pp. 13–24.
Mahendra and Nugraha, Komparasi Metode AHP-SAW dan AHP-WP pada SPK Penentuan E-Commerce Terbaik di Indonesia, Jurnal Sistem dan Teknologi Informasi, vol. 8, No. 4, 2020, pp. 346–356.
E. Yunianto and A. P. Wibowo, Implementasi Metode AHP Dan MOORA Untuk Pemeringkatan emarketplace Indonesia Tahun 2020 Kuartal Kedua, Jurnal INSTEK Informatika Sains dan Teknologi, vol. 6, no. 1, 2020, pp. 120-129.
E. W. Fridayanhie, A. Kusumaningrum, Haryanto, and F. A. Setiawan, Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Menggunakan Metode Opsis Pada Pt Semangat Sejahtera Bersama, Jurnal SWABUMI, vol. 8, no. 2, 2020, pp. 171-176.
DOI: http://dx.doi.org/10.30659/jast.2.02.9-15
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