Data Mining: a Three-Step of Real-Time Audit Paradigm

  • Authors

    • Samuel Anindyo Widhoyoko
    • Sasmoko .
    • Dheny Biantara
    • Bambang Sugiarto
    2018-08-24
    https://doi.org/10.14419/ijet.v7i3.30.18266
  • Financial Audit, Real-Time Management, Risk Assessment, Audit Sampling, Information System, Data Mining, Fraud, Audit Efficiency.

  • Abstract

    One problem in business is the aspect of reporting through the process of financial audit. The problem with conventional audit is highlighted in this research through literature review of Statement of Auditing Standards (SAS) regarding to the issues of (1) risk assessment, (2) sampling methods, and (3) going concern analysis. This research further describes all these issues in the light of efficient audit process. The method used is exploratory, engaging comprehensive literature review from the perspectives of forensic accounting and information system. The output is to build a three-step financial audit paradigm embedding (1) exploratory data analysis and descriptive modelling in risk assessment, (2) predictive and association analysis in sampling, and (3) grounded professional judgement in going concern analysis.

     

     

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  • How to Cite

    Anindyo Widhoyoko, S., ., S., Biantara, D., & Sugiarto, B. (2018). Data Mining: a Three-Step of Real-Time Audit Paradigm. International Journal of Engineering & Technology, 7(3.30), 301-304. https://doi.org/10.14419/ijet.v7i3.30.18266

    Received date: 2018-08-25

    Accepted date: 2018-08-25

    Published date: 2018-08-24