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Conference paperNo. 006

Blockchain Audit Trails for SMEs

  • Rizky Pratama1iD
  • Ayu Kartika2
  1. 1Universitas Pembangunan Nasional, ID
  2. 2Institut Teknologi Sepuluh Nopember, ID
  3. 3National University of Singapore, SG
  4. 4University of Melbourne, AU
November 1, 2026pp. 41–47https://doi.org/10.99999/inheic.2026.006

Abstract

This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines. This paper investigates the problem and proposes a method that is evaluated on real-world data, showing consistent improvements over strong baselines.

Keywords

License

CC-BY-4.0 This article is licensed under CC-BY-4.0.

Cite

Pratama, R., & Kartika, A. (2026). Blockchain Audit Trails for SMEs. In Proceedings of the The 6th International Hospitality Entrepreneurship and Innovation Conference (pp. 41–47). Politeknik Pariwisata Bali. https://doi.org/10.99999/inheic.2026.006