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THE EFFECTIVENESS OF FRAUD PREVENTION AND DETECTION METHOD AT UNIVERSITIES

    MD Faizunnisa Begum, Dr Gowtham Aashirwad Kumar

Abstract

A few instances of defilement have occurred in a few colleges in Indonesia. To forestall and deal with the cases, interior evaluators assume critical parts in recognizing and forestalling extortion. Consequently, powerful strategies to recognize and forestall misrepresentation are required. The strategies are supposed to set the proper measures to actually distinguish and forestall misrepresentation. This exploration proposed an inquiry how the inner examiners see the viability of extortion discovery and counteraction strategies. The examination expected to lead a graphic investigation towards the reviewer's extortion related information and inspect the interior inspector's discernment towards the viability of misrepresentation discovery and avoidance strategies. The objects of this exploration were interior evaluators who worked at colleges in Indonesia where the respondents were arbitrarily chosen. This study utilized a progression of surveys to assemble the data from the beforehand studied respondents. The polls in this study referred to the past examination led by biers taker et al. (2006). The aftereffects of this exploration uncover that the best extortion identification and anticipation methodology are functional reviews, inward control survey and improvement, cash audits, code of assents against providers/workers for hire and morals officials. In the interim, five generally inadequate of misrepresentation anticipation and location techniques are infection insurance, monetary raise, firewalls, sifting programming, and hierarchical utilization of measurable bookkeepers. The consequences of this study contrasts from the past exploration led by taker et al. (2006), which recommends that the best system for extortion identification and avoidance is the utilization of data innovation.

Keyword : Catchphrases: Misrepresentation, Anticipation, Extortion Recognition, Colleges,

Published in Issue
November 12, 2026
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This work is licensed under a Creative Commons Attribution 4.0 International License.