Logika Fuzzy untuk Audit Sistem Informasi

Authors

  • Hari Setiabudi Husni Bina Nusantara University
  • Firman Arifin Bina Nusantara University
  • Yuliyanti Yuliyanti Bina Nusantara University

DOI:

https://doi.org/10.21512/comtech.v4i1.2684

Keywords:

fuzzy logic, information system audit, objective decision

Abstract

The aim of this research is to study and introduce fuzzy logic into audit information system. Fuzzy logic is already adopted in other field of study. It helps decision process that incorporates subjective information and transforms it to scientific objective information which is more accepted. This research implements simulation scenario to see how fuzzy logic concept should be used in audit information process. The result shows that there is a possible concept of fuzzy logic that can be used for helping auditor in making objective decision in audit information system process. More researches needed to further explore the fuzzy logic concept such as creating the system of fuzzy logic and build application that can be used for daily information system audit process. 
Dimensions

Plum Analytics

References

Comunale, C. and Sexton, T. (2005). A fuzzy logic approach to assessing materiality. Journal of Emerging Technologies in Accounting, 2.

Hunton, J. E. (2002). Blending information and communication technology and accounting research. Accounting Horizons, 16, 55-67.

Karya, Gede. (2004). Pengembangan model audit sistem informasi berbasis kendali. Jurnal INTEGRAL, 9 (1).

Kusumadewi, Sri dan Purnomo, Hari. (2004). Aplikasi Logika Fuzzy untuk Pendukung Keputusan (edisi pertama). Yogyakarta: Graha Ilmu.

Maconachy, W. V., Schou, C. D., Ragsdale, D., Welch, D. (2001). A model for information assurance: an integrated approach. Proceedings of the IEEE Workshop on Information Assurance and Security.

Von Altrock, C. (1997). Fuzzy Logic and NeuroFuzzy Applications in Business and Finance. New Jersey: Prentice Hall.

Wright, S. and Wright, A. (2002). Information system assurance for enterprise resource planning systems: Implementation and unique risk considerations. Journal of Information Systems, 16, 99 – 113.

Zadeh, L. (1965). Fuzzy sets. Information and Control, 8, 338 – 353.

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Published

2013-06-30

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