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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Infotech: Journal of Technology Information Ittishal Educational Research Journal Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Sandradewi, Kumaratih
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Public Health Other

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Journal : Infotech: Journal of Technology Information

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PEMILIHAN FINTECH PAYMENT QRCODE UNTUK PELANGGAN MENGGUNAKAN TOPSIS Rofiah, Syahbaniar; Setiyadi, Didik; Retnoningsih, Endang; Sandradewi, Kumaratih
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.162

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. 
Co-Authors Abdul Dhohir Surya Kusuma, RM Ady Prabowo, Iwan Ahyar, Khoirul Akhyar, Khoirul Didik Setiyadi Endang Retnoningsih Khoirudin, Muh. Rosyid Kusumawijaya, Andriani Kusumaningrum MUHAMMAD HASBI Remawati, Dwi Retno Tri Vulandari Retno Wahyu Utami, Yustina Sri Hariyati Fitriasih, Sri Hariyati Sri Siswanti Syahbaniar Rofiah Tri Irawati, Tri Widada, Bebas Widianto, Septian Cahyo