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Journal : Asia Pacific Fraud Journal

DISCLOSING THE TRIGGERS OF FRAUD IN THE MANAGEMENT OF COMMUNITY GROUP GRANT FUNDS (Case Study at Manut Agency of Hilir Province) Ahmad Syaifullah; Tarjo Tarjo; Siti Musyarofah
Asia Pacific Fraud Journal Vol 3, No 1 (2018): Volume 3, No.1st Edition (January-June 2018)
Publisher : Association of Certified Fraud Examiners Indonesia Chapter

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (792.453 KB) | DOI: 10.21532/apfjournal.v3i1.63

Abstract

The purpose of this study is to find out the trigger of fraud in the management of grant funds. This study uses qualitative method with configurative-ideographic case study approach aimed at analyzing the trigger of fraud in the management of community group grant funds more deeply. Data were obtained through interviews with informants consisting of Manut agency, as the manager of society group grant funds, and some grant recipients as well as other parties involved in the management of the grant funds. The result of this study indicates that the trigger of fraud in the management of grant funds is the dominance of access to grant funds by certain parties and the implementation of grant fund management which is not in accordance with the rules that have been set.
THE EFFECT OF ANTI FRAUD STRATEGY ON FRAUD PREVENTION IN BANKING INDUSTRY Nurul Alfian; Tarjo Tarjo; Bambang Haryadi
Asia Pacific Fraud Journal Vol 2, No 1 (2017): Volume 2, No.1st Edition (January-June 2017)
Publisher : Association of Certified Fraud Examiners Indonesia Chapter

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (738.844 KB) | DOI: 10.21532/apfj.001.17.02.01.05

Abstract

ABSTRACTThe purpose of this study is to examine the effect of anti fraud strategy on fraud preventionin in banking industry. The data are collected through questionnaires distributed to front liners, marketing, and back office. The sampling technique used is proportionale sampling method with 80 respondents. The research data are analysed using quantitative method, particularly explanatory research approach. In this regard, the researchers use Structural Equation Model (SEM) and Partial Least Square (PLS) with Warrpls 5.0 program. The findings of this study show that prevention pillar, detection pillar and investigation pillar have an effect on fraud prevention in banking industry.
CORRELATION OF FINANCIAL STATEMENT COMPONENTS IN DETECTING FINANCIAL FRAUD Handayani Handayani; Tarjo Tarjo; Yuni Rimawati
Asia Pacific Fraud Journal Vol 1, No 2 (2016): Volume 1, No.2nd Edition (July-December 2016)
Publisher : Association of Certified Fraud Examiners Indonesia Chapter

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2085.322 KB) | DOI: 10.21532/apfj.001.16.01.02.22

Abstract

The purpose of this study is to determine the absence of correlation offinancial statement components as red flags in detecting financial statement fraud. The sampling in this study is done using purposive sampling technique. There are two categories of companies used as the study sample:fraud companies and non-fraud companies. Fraud companies are the companies that get sanction from Capital Market Supervisory Agency (Bapepam) andFinancial Services Authority (OJK) period 2000-2014, while non-fraud companies are selected with the criteria: having equivalent assets, engaging in the same industry, and using the same financial statements as the financial statements used by the fraud companies. The total samples of this study are 122 companies consisting of 61 fraud companies and 61 non-fraud companies. Spearman correlation test is used to answer the research hypothesis.The conclusions of this study are (1) the absence of correlation between cash flows andearnings can be usedas red flags to detect fraud, (2) the existence of correlation between receivables and revenues cannot be used as red flags to detect fraud, (3) the existence of correlation between allowances for uncollectible accounts and receivable cannot be used as red flags to detect fraud.