PEMILIHAN FINTECH PAYMENT QRCODE UNTUK PELANGGAN MENGGUNAKAN TOPSIS

Syahbaniar Rofiah(1*), Didik Setiyadi(2), Endang Retnoningsih(3), Kumaratih Sandradewi(4),

(1) Institut Bisnis Muhamadiyah Bekasi
(2) Universitas Indonesia Mandiri
(3) Institut Bisnis Muhamadiyah Bekasi
(4) STMIK Sinar Nusantara, Surakarta
(*) Corresponding Author

Abstract


Payment is inseparable from technology so it is fast in making transactions in real time. Payment is the most important stage in sales. Sales success can be obtained from the service process, both from the process of entering sales transactions to payment transactions. Problems that occur in transactions using the QRCode fintech payment are, it takes too long to read the QRCode, an error occurs when reading the QRCode, has made a payment but it is not detected. The aim of the research is to help service providers fix deficiencies that occur and help customers choose a QRCode fintech that is safe and fast to use. This research seeks QRCode fintech payment recommendations for customers using the Technique For Order Preference by Similarity of Ideal Solution (TOPSIS) with 6 alternatives, namely Sakuku, Link Aja, Gopay, Dana, Shopeepay and OVO. Then the 6 criteria consist of: C1 = real time, C2 = user friendly, C3 = payment, C4 = security, C5 = feature diversity, and C6 = merchant. The results obtained by Gopay obtained the highest score of the other 6 alternatives, namely 0.9208, which was chosen as the best QRCode fintech payment recommendation.

 


Keywords


Fintech, QRCode, Payment, Topsis.

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References


Alfianti, A. (2020). Implementasi financial technology dalam sistem pembayaran berbasis qr code di Bank Syariah Mandiri cabang Palangka Raya. http://digilib.iain-palangkaraya.ac.id/id/eprint/3071

Bank Indonesia. (2023). Sekilas Sistem Pembayaran di Indonesia. https://www.bi.go.id/id/fungsi-utama/sistem-pembayaran/default.aspx

Putri, W. A., Rachmawati, D., & Silalahi, W. S. (2022). Sistem Pendukung Keputusan Pemilihan E-Wallet Menggunakan Metode Analytic Hierarchy Process-TOPSIS. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 2(1), 18–27.

https://doi.org/10.57152/malcom.v2i1.160

Rofiah, S., & Setiyadi, D. (2020). Pemilihan Fintech payment untuk Mahasiswa menggunakan Fuzzy Technique For Order Preference by Similarity of Ideal Solution. Bina Insani Ict Journal, 7(1), 13. https://doi.org/10.51211/biict.v7i1.1341

Rumondang, A., Sudirman, A., Effendi, F., Simarmata, J., & Agustin, T. (2019). Fintech: Inovasi Sistem Keuangan di Era Digital. Yayasan Kita Menulis.

Sriekaningsih, A. (2020). QRIS dan Era Baru Transaksi Pembayaran 4.0. Andi Offset.

Sugiyono. (2014). Metode Penelitian Kombinasi. Alfabeta.

Susanto, F. (2020). Pengenalan Sistem Pendukung Keputusan. Deepublish.

Utami, M. P., & Wulandari, B. T. (2021). Yuridis Analisa Quick Response Code Sebagai Sistem Pembayaran Ditinjau Dari Peraturan Bank Indonesia Nomor 18/40/PBI/2016 Tentang Penyelenggaraan Pemrosesan Transaksi Pembayaran. SELISIK, 7(1), 63–81.

Wulandari, C. S. (2023). Dompet Digital Naik Daun, Membetot Minat Kala Pandemi. Bank Indonesia.

Yudhanto, Y., & Azis, A. (2019). Pengantar Teknologi Internet of Things (IoT). UNS Press.




DOI: https://doi.org/10.37365/jti.v9i1.162

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