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All Journal Jurnal Ilmiah Raflesia Akuntansi
Sri Susanti
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.
Menganalisis Penggunaan Teknologi AI dalam Personalisasi Pengalaman Customer Yunda Syafira; Andini Kartika Dewi; Berliana Kristiana N.S; Norazlina Norazlina; Nosperiani Halawa; Sri Susanti
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.v11i1.848

Abstract

The development of digital technology, especially Artificial Intelligence (AI), has significantly transformed the business and customer service landscape in the Industry 4.0 era. This study aims to analyze the application of AI technology in customer experience personalization and its impact on customer loyalty and satisfaction. This research employs a qualitative method with a literature review as the primary technique. The data used is secondary, sourced from credible references such as Google Scholar and peer-reviewed journals. The findings show that AI, through machine learning and Natural Language Processing (NLP), enables companies to understand and tailor services to individual customer preferences. Machine learning algorithms allow for the collection and analysis of customer behavior data to provide more accurate and relevant recommendations, increasing sales conversion and customer loyalty. NLP supports more natural customer interactions through chatbots and virtual assistants, enhancing responsiveness and service quality. However, challenges such as data privacy, information security, and algorithmic bias remain key obstacles in AI implementation. To address these issues, companies are advised to comply with data protection regulations such as GDPR and ensure transparency in AI-driven decision-making. In conclusion, the application of AI in customer experience personalization provides a competitive advantage for companies by improving operational efficiency, customer satisfaction, and loyalty, but it must be balanced with strict privacy and security policies.
Co-Authors Andini Kartika Dewi Andini Kartika Dewi Berliana Kristiana N.S Berliana Kristiananova Sibarani Edi Saputra Norazlina Norazlina Nosperiani Halawa Yarzan munakalla Yunda Syafira Yunda Syafira