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Strategic Role of Artificial Intelligence in Reshaping Global Digital Marketing: Opportunities and Organizational Challenges Abdul Robi Padri; Mar’atus Solikhah; Rudi Ferdiansah
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.v2i1.13

Abstract

This study explores the strategic role of artificial intelligence (AI) in transforming digital marketing practices across global companies. In the era of rapid technological advancement, AI offers innovative tools that redefine customer engagement, campaign effectiveness, and market competitiveness. Employing a qualitative case study approach, the research gathered data through interviews with marketing executives, employee questionnaires, and direct observation of AI-driven marketing operations in ten multinational companies. The findings reveal that AI significantly enhances campaign personalization and efficiency, with 70% of respondents noting improved product relevance and 80% citing better marketing budget optimization. Despite these benefits, companies face persistent challenges, particularly in integrating systems and preparing employees. Data privacy concerns and the need to strike a balance between automation and creativity also emerged as critical issues. This study concludes that AI, while transformative, requires careful strategic implementation to maximize its potential in global marketing contexts. The study’s implications include guidance on training needs, strategic alignment, and ethical compliance in the adoption of AI.
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.
Social Identity Transformation Among Remote Workers: A Phenomenological Study of the Millennial Generation in Indonesia Abdul Robi Padri
Journal Of Social Science (JoSS) Vol 4 No 3 (2025): JOSS: Journal of Social Science
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/joss.v4i3.448

Abstract

The advancement of digital technology and the global shift in work patterns have fostered the rise of remote work, a trend increasingly prevalent among the millennial generation in Indonesia. This transformation not only affects economic aspects and productivity but also brings significant consequences to the construction and transformation of workers’ social identities. This study aims to explore how the experience of remote work influences the social identity construction of millennials, including changes in social relationships, self-perception, and attachment to work communities. Using a phenomenological approach, the research involved in-depth interviews with ten participants aged 25 to 40 who have been working remotely for at least two years. The findings reveal that remote work initiates a complex process of identity renegotiation, in which millennials experience a shift in the meaning of workspace, the boundaries between personal and professional time, and the emergence of new, flexible, and digital forms of social connection. A dominant pattern of hybrid identity—combining the roles of “professional worker” and “free individual”—emerges, subtly influencing how individuals position themselves within the broader social structure. These findings highlight the importance of understanding identity dynamics in digital work contexts to formulate more inclusive and adaptive employment policies in response to ongoing social change.
Psychopolitics on Social Media: An Interdisciplinary Analysis of Emotion, Authority, and Online Mobilization Abdul Robi Padri
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 4 No. 3 (2025): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v4i3.1424

Abstract

The intersection of politics, psychology, and digital media has given rise to new forms of power that operate through emotional engagement and algorithmic amplification. Social media platforms have become crucial arenas where authority is constructed, emotions are orchestrated, and collective actions are mobilized. This study investigates the mechanisms of psychopolitics on social media by employing an interdisciplinary approach that integrates political theory, psychology, and digital communication studies. The primary objective is to understand how emotional narratives are strategically deployed to legitimize authority and encourage online mobilization. Using qualitative content analysis and digital ethnography, the research examines selected viral political content on Twitter and Instagram, focusing on the interplay between emotional rhetoric, symbolic authority, and user engagement. The findings reveal that emotional appeals—particularly fear, anger, and hope—are central to digital psychopolitical strategies, often used to polarize public discourse and intensify group identification. Moreover, authority in the digital realm is increasingly derived not only from institutional status but also from emotional resonance and perceived authenticity. These dynamics contribute to a fluid and affective form of governance, where influence is exerted less through direct coercion and more through the modulation of collective feelings. This study highlights the urgent need for critical literacy in navigating emotionally charged political content online.
Klasifikasi Kemancetan Lalu Lintas di Indonesia Menggunakan Metode Naive Bayes Classification Abdul Robi Padri; Asro Asro; Chairuddin Chairuddin
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 14 No. 2 (2023): JURNAL SIMETRIS VOLUME 14 NO 2 TAHUN 2023
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v14i2.10102

Abstract

Tujuan dari penelitian ini untuk data menganalisis akurasi kemancetan menggunakan google colab  dalam mendeteksi kemacetan berdasarkan provinsi di indonesia, penulis mencoba menguji strategi dalam menangani Kemacetan wilayah indonesia, dengan memanfaatkan metode naive bayes. Pada jurnal ini menerapkan dengan google colab. Penelitian ini memakai data yang bersumber dari crawling data di twiter. Penggunaan metode naive bayes dalam mencari Rute terpendek efesien dan tidak mancet. Penerapan Angkot Sekolah online menggunakan Metode naive bayes dalam Minimalisir Biaya Perjalanan menjemput Siswa dapat mengurangi macet, mengurangi kecelakaan, mengurangi waktu keterlambatan siswa, minimalisir ongkos perjalanan. Saran yang diberikan yaitu menjadi bahan evaluasi bagi pemerintah dalam menangani Kemacetan di indonesia, secara efisien, aman dan transparan.