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All Journal Jurnal Ilmiah Raflesia Akuntansi
Yarzan munakalla
STIE Pembangunan Tanjung Pinang
Economics, Econometrics & Finance

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Strategi Efektif Pengendalian Internal dalam Keamanan Sistem Informasi Akuntansi untuk Perlindungan Data Keuangan Andini Kartika Dewi; Berliana Kristiananova Sibarani; Edi Saputra; Norazlina Norazlina; Sri Susanti; Yunda Syafira; Yarzan munakalla
Jurnal Ilmiah Raflesia Akuntansi Vol. 11 No. 1 (2025): Jurnal Ilmiah Raflesia Akuntansi
Publisher : Politeknik Raflesia Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53494/jira.v11i1.838

Abstract

Accounting Information Systems (AIS) play a crucial role in managing an organization's financial data. However, challenges such as hacking threats, unauthorized access, and human errors can jeopardize the security and integrity of financial data. Therefore, effective internal control is required to ensure the reliability of financial information. This study aims to analyze effective internal control strategies to enhance AIS security and protect financial data from both external and internal threats. This research employs a qualitative descriptive approach through a literature review of various scientific journals, books, and official publications. The content analysis technique is used to identify patterns and strategies in AIS internal control. The findings indicate that effective internal control strategies include employee training, data encryption, two-factor authentication, periodic system monitoring, and proper system integration. Additionally, routine audits and a culture of compliance within the organization contribute to enhancing financial data security. Strong internal control in AIS can improve the security and reliability of financial information. The implementation of security technologies and employee awareness of data protection are key factors in preventing information breaches. Companies should continuously update internal control policies, enhance technological infrastructure, and conduct regular employee training to improve the effectiveness of accounting information systems in addressing evolving security challenges.
Analisis Penggunaan Teknologi Big Data Dalam Analisis Risiko Bisnis Dyandra Sastra Wardani; Edi Saputra; Felita Jekri; Mutia Putri Dewi Apriyanti; Handoko Handoko; Yarzan Munakalla
Jurnal Ilmiah Raflesia Akuntansi Vol. 11 No. 1 (2025): Jurnal Ilmiah Raflesia Akuntansi
Publisher : Politeknik Raflesia Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53494/jira.v11i1.922

Abstract

The aim of this research is to find out how big data technology is used in business risk analysis. The use of big data today is very massive, used in many fields including accounting or economics. The need for data in a business is important for business people to carry out operations and make decisions and create policies to enable the business they own to reduce risks that may occur. The research method used in this research is a qualitative method with a library approach. Based on research conducted, it was found that Big data can be used to identify and stop dangers in the financial industry.
Co-Authors Andini Kartika Dewi Berliana Kristiananova Sibarani Dyandra Sastra Wardani Edi Saputra Felita Jekri Handoko Handoko Mutia Putri Dewi Apriyanti Norazlina Norazlina Sri Susanti Yunda Syafira