Fraud Detection in Local Government (Case Study: Lampung Province)
- DOI
- 10.2991/978-2-38476-064-0_35How to use a DOI?
- Keywords
- fraud; fraud hexagon model; local government
- Abstract
Fraud in the government sector does not only mean corruption, but can also be interpreted as actions taken by public officials and other parties who are involved in unfair and illegal actions in using the trust that is authorized and given by the community for the benefit of certain parties. The current phenomenon is that many state civil servants and public officials no longer have integrity because they have been affected by bribery and bribery activities, so they are no longer oriented towards serving the community. This study aims to conduct an analysis using the fraud hexagon model, namely pressure, opportunity, rationalization, ability, ego, and collusion on fraud detection in local governments with a case study in the province of Lampung from 2020 to 2021. This study uses analytical methods quantitative. The results of this study indicate the influence of each element on the fraud hexagon.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Navira Erliani AU - Lindrianasari AU - Rindu Rika Gamayuni PY - 2023 DA - 2023/05/30 TI - Fraud Detection in Local Government (Case Study: Lampung Province) BT - Proceedings of the International Conference of Economics, Business, and Entrepreneur (ICEBE 2022) PB - Atlantis Press SP - 327 EP - 336 SN - 2352-5428 UR - https://doi.org/10.2991/978-2-38476-064-0_35 DO - 10.2991/978-2-38476-064-0_35 ID - Erliani2023 ER -