Sistematic Literature Review: The Strategy For Preventing Government Financial Report Fraud

Hendri, Nedi; Sari, Santika

doi:10.30656/jak.v10i2.6599

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Higgins menjelaskan bahwa dalam SLR peneliti perlu secara sistematis mencari, menilai secara kritis, dan mensintesis bukti dari beberapa studi tentang topik yang sama (Wibowo & Putri, 2021). SLR memuat tahapan perencanaan, pelaksanaan, dan pelaporan (Hendri & Sari, 2023). Pada tahap perencanaan (planning) dilakukan identifikasi kebutuhan untuk tinjauan (review), memfokuskan pada pertanyaan penelitian, dan menyusun protokol dalam SLR.…”

Section: Metode Penelitianunclassified

Kemampuan Berpikir Kritis Matematis Dengan Brain Based Learning: Systematic Literature Review

Indartiningsih,

Nursalim,

Rahmasari

2023

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One of the abilities of the 21st century is the ability to think critically. Mathematical critical thinking is the ability used to solve mathematical problems using higher thinking skills, namely analyzing, synthesizing, concluding and evaluating. Brain Based Learning (BBL) is an approach that can be used to carry out learning based on brain function. The aim of this research is to describe critical mathematical thinking skills that can be improved with the BBL approach. The research was conducted using the Systematic Literature Review (SLR) method with stages: planning, implementation and reporting. The results of the study from 13 articles show that BBL can improve students' critical mathematical thinking skills.BBL is carried out in 7 stages, namely: pre-exposure; preparation; initiation and acquisition; elaboration; incubation and inserting memory; verification and confidence checking; as well as celebration and integration. Learning with the BBL approach is an alternative that can improve students' mathematical critical thinking skills, so it is recommended to use BBL on various mathematical topics and collaborate with other learning approaches or models.

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Section: Metode Penelitianunclassified

Kemampuan Berpikir Kritis Matematis Dengan Brain Based Learning: Systematic Literature Review

Indartiningsih,

Nursalim,

Rahmasari

2023

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“…Through unsupervised learning on data information, deep learning can adeptly navigate complex financial network structures, comprehensively discerning data patterns and identifying potential abnormal behaviors or fraud patterns. This capability opens up new avenues for effectively addressing the intricate issue of financial fraud [3].…”

Section: Introductionmentioning

confidence: 99%

Financial Anti-Fraud Based on Dual-Channel Graph Attention Network

Wei,

Lee

2024

JTAER

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This article addresses the pervasive issue of fraud in financial transactions by introducing the Graph Attention Network (GAN) into graph neural networks. The article integrates Node Attention Networks and Semantic Attention Networks to construct a Dual-Head Attention Network module, enabling a comprehensive analysis of complex relationships in user transaction data. This approach adeptly handles non-linear features and intricate data interaction relationships. The article incorporates a Gradient-Boosting Decision Tree (GBDT) to enhance fraud identification to create the GBDT–Dual-channel Graph Attention Network (GBDT-DGAN). In a bid to ensure user privacy, this article introduces blockchain technology, culminating in the development of a financial anti-fraud model that fuses blockchain with the GBDT-DGAN algorithm. Experimental verification demonstrates the model’s accuracy, reaching 93.82%, a notable improvement of at least 5.76% compared to baseline algorithms such as Convolutional Neural Networks. The recall and F1 values stand at 89.5% and 81.66%, respectively. Additionally, the model exhibits superior network data transmission security, maintaining a packet loss rate below 7%. Consequently, the proposed model significantly outperforms traditional approaches in financial fraud detection accuracy and ensures excellent network data transmission security, offering an efficient and secure solution for fraud detection in the financial domain.

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Sistematic Literature Review: The Strategy For Preventing Government Financial Report Fraud

Cited by 2 publications

References 4 publications

Kemampuan Berpikir Kritis Matematis Dengan Brain Based Learning: Systematic Literature Review

Kemampuan Berpikir Kritis Matematis Dengan Brain Based Learning: Systematic Literature Review

Financial Anti-Fraud Based on Dual-Channel Graph Attention Network

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