PayPal Usage in Indonesia with k-Nearest Neighbor Algorithm
DOI:
https://doi.org/10.24036/ujsds/vol3-iss3/405Kata Kunci:
Digital Payments, Indonesia, K-Nearest Neighbor, PayPal, Sentiment Analysis.Abstrak
The development of information and digital technology has had a significant impact on the financial sector. In Indonesia, digital payment technologies such as PayPal, Gopay, Shopeepay, OVO, and DANA have become an integral part of the modern payment system. Since 2005, the implementation of the national electronic clearing system, RTGS, and ATMs have facilitated various payment methods. Sentiment analysis of PayPal provides in-depth insights into user experience, enabling improved service quality and more effective marketing strategies. Sentiment data helps PayPal in making better business decisions and managing brand reputation. This study compares PayPal usage in Indonesia from a user perspective, with a focus on sentiment analysis, to identify factors that influence the acceptance of this platform in various markets. This study aims to provide valuable insights for the development and updating of PayPal service policies.
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Hak Cipta (c) 2025 Amannia zeze, Muhammad Ravi Azzaki, Dodi Vionanda

Artikel ini berlisensi Creative Commons Attribution 4.0 International License.