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Improving Customer Service and Satisfaction in Indonesian Digital Banks with AI-Powered Chatbots Paulina Rosna Dewi Redjo; Diah Wuriah Ningsih; Tural Latif Gojayev
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 1 (2024): January: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i1.418

Abstract

The integration of Artificial Intelligence (AI) chatbots into customer service operations within digital banks has become a transformative trend in the banking sector, particularly in Indonesia. This study examines the effectiveness of AI chatbots in improving both operational efficiency and customer satisfaction in three selected Indonesian digital banks. The research focuses on evaluating the impact of AI chatbots in reducing response times, handling high volumes of customer inquiries, and improving service availability. The study also delves into customer feedback, measuring satisfaction with the ease of use, personalization, and responsiveness of the AI systems. The results demonstrate that AI chatbots significantly enhance customer service efficiency by reducing wait times and automating routine inquiries, which reduces the need for human intervention. Additionally, customers reported high satisfaction with the round-the-clock availability of AI chatbots and the personalized financial advice provided. However, despite these benefits, challenges related to data security, chatbot accuracy, and customer adaptation to automated systems remain prevalent. Data privacy concerns and issues regarding the chatbot's ability to handle complex queries were noted as limiting factors in customer trust and satisfaction. The study highlights the implications of these findings for the future of digital banking in Indonesia, emphasizing the need for improved chatbot integration, stronger data security measures, and enhanced user experience design. The integration of AI in customer service operations holds significant potential for digital banks and the broader financial sector to improve operational efficiency, reduce costs, and meet the evolving expectations of customers.
Pendampingan Pembuatan Laporan Keuangan Sederhana Pada Usaha Roti Home Made Paulina Rosna Dewi Redjo; Marce Sherly Kase; Anggelina Delfiana Klau
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 2 No. 3 (2023): Oktober : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v2i3.2452

Abstract

Community service activities carried out are in the form of assistance for UMKM "home made bread business" in terms of managing finances using accounting standards. The mentoring program offered is in the form of 1) simple financial management training for home made bread business owners.
ANALISIS KINERJA KEUANGAN DAERAH KABUPATEN TIMOR TENGAH UTARA Godeliva Susan Sanbein; Kamilaus Konstance Oki; Paulina Rosna Dewi Redjo
Perwira Journal of Economics & Business Vol 6 No 1 (2026)
Publisher : UNPERBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54199/54h70s56

Abstract

North Central Timor (TTU) Regency still faces challenges in optimally managing regional potential and remains dependent on central government funding. To increase financial independence, it is crucial for the local government to manage resources efficiently and utilize local potential. The main problem is the low level of regional financial independence in North Central Timor (TTU) Regency. The method used in this study is a quantitative, involving the collection and analysis of numerical data to determine the financial performance of North Central Timor Regency. This study utilized secondary data from financial reports and related documents, collected through documentation and observation techniques. The analysis used financial ratios to measure fiscal independence and capacity. The results show that the level of regional financial independence for the 10-year period 2014-2023 was in the very low category, with an instructive relationship pattern. This indicates a high dependence on transfer revenues from the central government. Meanwhile, the regional fiscal capacity ratio was in the very low category throughout the period, with poor revenue potential and a relatively high dependence on central assistance.