Fraud detection in local government in Indonesia

This study aims to test the influence of the hexagon fraud theory on fraud in local government. The sample for this study consists of districts and cities in Indonesia. The results indicate that all independent variables - pressure, opportunity, rationalisation, capability, arrogance, and collusion - significantly influence fraud in local government in Indonesia. This study is expected to evaluate and identify mitigation efforts for potential factors that contribute to the occurrence of fraud. Finally, we conclude that the Fraud Hexagon model developed by Vousinas is very effective for detecting fraud in government, especially in Indonesia.

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Publication Details

Journal
International Journal of Monetary Economics and Finance
Published
2025-01-01
DOI
https://doi.org/10.1504/ijmef.2025.148118
Primary Topic
Imbalanced Data Classification Techniques
Type
article
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article

Fraud detection in local government in Indonesia

Lindrianasari Lindrianasari, Rindu Rika Gamayuni, Einde Evana, Navira Erliani
International Journal of Monetary Economics and Finance
Imbalanced Data Classification Techniques
article

Fraud detection in local government in Indonesia

Lindrianasari Lindrianasari, Rindu Rika Gamayuni, Einde Evana, Navira Erliani
article en

Abstract

This study aims to test the influence of the hexagon fraud theory on fraud in local government. The sample for this study consists of districts and cities in Indonesia. The results indicate that all independent variables - pressure, opportunity, rationalisation, capability, arrogance, and collusion - significantly influence fraud in local government in Indonesia. This study is expected to evaluate and identify mitigation efforts for potential factors that contribute to the occurrence of fraud. Finally, we conclude that the Fraud Hexagon model developed by Vousinas is very effective for detecting fraud in government, especially in Indonesia.

International Journal of Monetary Economics and FinanceVol. 18(2/3)
Lampung University (ID)
Peace, Justice and strong institutions
Openalex Percentile: Top 88%
Imbalanced Data Classification Techniques
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Fraud detection in local government in Indonesia — Lindrianasari Lindrianasari, Rindu Rika Gamayuni, et al. · International Journal of Monetary Economics and Finance (2025) | TGRS Research Map | TGRS