Article Per Year (5 Year)
p-Index From 2020 - 2025
0.92
P-Index
This Author published in this journals
All Journal AL-ARBAH: Journal of Islamic Finance and Banking JAMPARING: Jurnal Akuntansi Manajemen Pariwisata dan Pembelajaran Konseling Jurnal Multidisiplin Teknologi dan Arsitektur
Marisna, Diska Sendi
Unknown Affiliation
Humanities Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Nursing Physics Social Sciences

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Artificial Intelligence: Making crime easier in the world of finance? Hasan, Zulfikar; Marisna, Diska Sendi
AL-ARBAH: Journal of Islamic Finance and Banking Vol. 6 No. 2 (2024)
Publisher : Universitas Islam Negeri (UIN) Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/al-arbah.2024.6.2.22187

Abstract

Purpose – This paper explores the dual role of artificial intelligence (AI) in the realm of finance, examining its potential to both enhance efficiency and exacerbate vulnerabilities to criminal activitiesMethod – The research methodology for this study focuses on exploring the relationship between artificial intelligence (AI) and its potential role in facilitating financial crimes. This section outlines the research design, data collection methods, data analysis techniques, and ethical considerationsResult – As AI technologies become increasingly integrated into financial systems, they offer unprecedented opportunities for streamlining operations, optimizing decision-making processes, and enhancing customer experiences. However, this digital transformation also presents new challenges, particularly in terms of security and fraud preventionImplication – By leveraging advanced algorithms and machine learning techniques, malicious actors may exploit AI-powered systems to perpetrate financial crimes with greater sophistication and scaleOriginality – This paper evaluates the implications of this evolving landscape, highlighting the need for robust regulatory frameworks, proactive risk management strategies, and ongoing collaboration between industry stakeholders and law enforcement agencies to mitigate the risks associated with AI-enabled financial crime
Digitalisasi dan Kepuasan Nasabah: Bagaimana Bank Syariah Beradaptasi di Era Society 5.0? Marisna, Diska Sendi; Karimah, Uswatun; Hendra, Joni
JAMPARING: Jurnal Akuntansi Manajemen Pariwisata dan Pembelajaran Konseling Vol 3, No 1 (2025): Februari 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/jamparing.v3i1.4497

Abstract

Penelitian ini membahas tentang adaptasi bank syariah terhadap digitalisasi di era Society 5.0, dengan fokus pada bagaimana hubungan transformasi digital dengan kepuasan nasabah. Transformasi digital di bank syariah telah menjadi kunci untuk memberikan layanan yang lebih cepat, aman, dan personal, selaras dengan prinsip-prinsip syariah. Penelitian ini mengkaji aspek-aspek utama digitalisasi, yaitu keamanan dan kepatuhan syariah, tantangan serta hambatan yang dihadapi dalam proses transformasi, dan bagaimana hungannya dengan kepuasan nasabah. Hasil penelitian menunjukkan bahwa meskipun digitalisasi membawa berbagai peluang untuk meningkatkan pengalaman nasabah, bank syariah masih menghadapi tantangan seperti infrastruktur teknologi, keterbatasan tenaga ahli di bidang digital, serta regulasi yang belum sepenuhnya adaptif terhadap perubahan teknologi. Hubungan antara transformasi digital dan kepuasan nasabah diidentifikasi positif, di mana layanan yang lebih efisien dan aman cenderung meningkatkan kepuasan dan loyalitas nasabah. Studi ini menyimpulkan bahwa adaptasi digital yang berhasil, dengan tetap mempertahankan prinsip syariah, akan menjadi faktor penting dalam meningkatkan daya saing dan kepuasan nasabah di era Society 5.0.
Early Fraud Detection Using the Fraud Triangle Model in Islamic Banking Hendra, Joni; Marisna, Diska Sendi; Karimah, Uswatun; Sofiyanto, Sofiyanto; Saprudin, M
Jurnal Multidisiplin Teknologi dan Arsitektur Vol 3, No 1 (2025): Mei 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/motekar.v3i1.6143

Abstract

This study aims to analyze the potential for fraud in Islamic banking through the application of the Fraud Triangle Model, which consists of three key elements: pressure, opportunity, and rationalization. Although Islamic banking is founded on Islamic principles such as justice, transparency, and moral responsibility, fraudulent practices may still occur due to human factors and weaknesses in internal control systems. This research employs a literature review method by examining academic sources and relevant regulations. The findings reveal that economic pressure, weak internal oversight, and justifications for unethical behavior are primary drivers of fraud in Islamic financial institutions. Therefore, effective fraud mitigation strategies are needed, including strengthened corporate governance, supervision based on Islamic values, and the development of a work culture grounded in integrity. The application of the Fraud Triangle Model in the Islamic banking context is expected to support early fraud detection and prevention in a more ethical and effective manner.
Early Fraud Detection Using the Fraud Triangle Model in Islamic Banking Hendra, Joni; Marisna, Diska Sendi; Karimah, Uswatun; Sofiyanto, Sofiyanto; Saprudin, M
Jurnal Multidisiplin Teknologi dan Arsitektur Vol 3, No 1 (2025): Mei 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/motekar.v3i1.6143

Abstract

This study aims to analyze the potential for fraud in Islamic banking through the application of the Fraud Triangle Model, which consists of three key elements: pressure, opportunity, and rationalization. Although Islamic banking is founded on Islamic principles such as justice, transparency, and moral responsibility, fraudulent practices may still occur due to human factors and weaknesses in internal control systems. This research employs a literature review method by examining academic sources and relevant regulations. The findings reveal that economic pressure, weak internal oversight, and justifications for unethical behavior are primary drivers of fraud in Islamic financial institutions. Therefore, effective fraud mitigation strategies are needed, including strengthened corporate governance, supervision based on Islamic values, and the development of a work culture grounded in integrity. The application of the Fraud Triangle Model in the Islamic banking context is expected to support early fraud detection and prevention in a more ethical and effective manner.
Artificial Intelligence: Making crime easier in the world of finance? Hasan, Zulfikar; Marisna, Diska Sendi
AL-ARBAH: Journal of Islamic Finance and Banking Vol. 6 No. 2 (2024)
Publisher : Universitas Islam Negeri (UIN) Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/al-arbah.2024.6.2.22187

Abstract

Purpose – This paper explores the dual role of artificial intelligence (AI) in the realm of finance, examining its potential to both enhance efficiency and exacerbate vulnerabilities to criminal activitiesMethod – The research methodology for this study focuses on exploring the relationship between artificial intelligence (AI) and its potential role in facilitating financial crimes. This section outlines the research design, data collection methods, data analysis techniques, and ethical considerationsResult – As AI technologies become increasingly integrated into financial systems, they offer unprecedented opportunities for streamlining operations, optimizing decision-making processes, and enhancing customer experiences. However, this digital transformation also presents new challenges, particularly in terms of security and fraud preventionImplication – By leveraging advanced algorithms and machine learning techniques, malicious actors may exploit AI-powered systems to perpetrate financial crimes with greater sophistication and scaleOriginality – This paper evaluates the implications of this evolving landscape, highlighting the need for robust regulatory frameworks, proactive risk management strategies, and ongoing collaboration between industry stakeholders and law enforcement agencies to mitigate the risks associated with AI-enabled financial crime
Co-Authors Hendra, Joni Karimah, Uswatun Saprudin, M Sofiyanto, Sofiyanto Zulfikar Hasan