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This Author published in this journals
All Journal Interdisciplinary Social Studies Journal of Digital Business and Data Science Journal of Village Development Innovation
Zidnal Falah
Universitas Islam Bandung
Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Blockchain Technology in Financial Management: A Case Study of Digital Transformation in Banking Zidnal Falah; Abdul Robi Padri; Feri Hardiyanto
Journal of Digital Business and Data Science Vol. 2 No. 1 (2025): Journal of Digital Business And Data Science
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jdbs.v2i1.14

Abstract

Blockchain technology, known for its decentralized and transparent transaction recording system, is increasingly attracting attention in the banking sector, especially in financial management. In Indonesia, despite the many potentials offered by blockchain, its adoption in the banking sector still faces various challenges related to regulation, technology readiness, and human resource training. Therefore, it is important to explore the potential and barriers to blockchain adoption in this sector. This study aims to analyze the application of blockchain technology in banking financial management, identify its challenges and benefits, and evaluate the readiness of banks in Indonesia to adopt the technology. This type of research is qualitative research with a case study design. Data were obtained through in-depth interviews with bank management, licensed employees, and customers, as well as analysis of relevant documents. The data analysis technique used a thematic analysis approach to explore in-depth information about blockchain implementation. The research findings show that blockchain can improve transparency, cost efficiency, and transaction security in banking. However, the biggest challenges faced are unclear regulations, difficulty integrating the technology with existing banking systems, and limited employee training in some small banks. Blockchain has great potential to modernize financial management in the banking sector, but its implementation requires clear policies, adequate training for employees, and efforts to improve customer understanding. This research provides insights for banks and policymakers to design effective strategies for adopting blockchain technology, and provides recommendations to improve the readiness of human resources and technological infrastructure in the banking sector.
AI-Powered HR: Ethical and Strategic Analysis of Artificial Intelligence Implementation in Recruitment Process in Indonesia Zidnal Falah; Fajar Syaifurrochman; Saeful Anwar; Riska Anggraeni
Journal of Village Development Innovation Vol. 2 No. 1 (2025): Journal of Village Development Innovation
Publisher : Journal of Village Development Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jvdi.v2i1.11

Abstract

The development of artificial intelligence (AI) in the human resources (HR) sector, particularly in recruitment, is accelerating, including in Indonesia. The implementation of AI in the recruitment process offers great potential in terms of efficiency and reduction of human bias, but also raises ethical and strategic challenges. Therefore, it is important to understand how AI is applied in recruitment and its impact on the selection process and company decisions. This study aims to analyze the implementation of AI in the recruitment process in Indonesia, identify the ethical challenges that arise, and provide strategic recommendations for the effective and fair use of this technology. This study used a descriptive mixed-methods approach, which included in-depth interviews with HR managers and relevant staff as well as a survey of employees who have gone through AI-based recruitment. The data obtained was analyzed using thematic analysis techniques for qualitative data and descriptive statistics for quantitative data. The results show that although AI improves the efficiency of the recruitment process, many companies in Indonesia still face challenges related to the transparency of AI decisions and potential bias. Most companies use AI only in the early stages of selection, with the final decision still involving humans. The application of AI in recruitment in Indonesia can improve efficiency, but companies must pay more attention to ethics and transparency to ensure that this technology is used fairly. A hybrid approach that combines technology with human evaluation may be the best solution.
The Influence of Influencer Affiliate Marketing Strategies on Generation Z's Purchasing Decisions: An Analysis of Business Communication on the TikTok Platform Zidnal Falah; Naufal Hadi Makarim; Muhammad Irsyad Sabiq; Ferry Darmawan
Interdisciplinary Social Studies Vol. 4 No. 3 (2025): Regular Issue: April-June 2025
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v4i3.848

Abstract

This study aims to analyze the influence of affiliate marketing strategies carried out by influencers on Generation Z's purchasing decisions on the TikTok platform. Through a qualitative approach with a case study method, data was collected through in-depth interviews with 10 TikTok influencers, questionnaires of 50 Generation Z respondents, content observation, and analysis of related documents. The results show that trust in influencers, content quality, and special offers (such as discounts) are the dominant factors influencing Generation Z's purchasing decisions. Authentic, entertaining, and informational content—such as tutorials or product reviews—has been shown to be more effective in increasing audience engagement than conventional promotions. These findings are in line with previous research that emphasized the importance of transparency and social proof in digital marketing, but this study enriches the literature with a specific focus on the mechanism of affiliate marketing on TikTok. The practical implications of this study include recommendations for businesses to choose influencers that are relevant to the target market, increase content transparency, and take advantage of economic incentives. For academics, this research provides a new perspective on the dynamics of business communication on short content-based social media platforms. The study's main limitation lies in its limited scope on TikTok and Generation Z, so further research is needed to compare the effectiveness of similar strategies on other platforms or different generations.
Co-Authors Abdul Robi Padri Fajar Syaifurrochman Feri Hardiyanto Ferry Darmawan Muhammad Irsyad Sabiq Naufal Hadi Makarim Riska Anggraeni Saeful Anwar