Author Profile: Faizah Ats Tsaniyah — ACTANOVA Conference Proceedings & Scholarly Archive

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Preserved Journal Articles (2)

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JOURNAL ARCHIVE 2025-06-25 • Jurnal Bisnis dan Komunikasi Digital • pp. 12–12

Human Resource Strategy Development in Facing Challenges Digital Transformation: Case Study of PT Telkom Indonesia

Naufal Zaka Putra Gifa, Muhammad Bintang Rizke, Susanti Ratna Sari, Nur Diana Rahmawati, Farah Febrina Yofianka, Faizah Ats Tsaniyah, Siti Ajeng Ayu, Rusdi Hidayat N, Maharani Ikaningtyas

Digital transformation is a strategic challenge for PT Telkom Indonesia in the midst of global technological disruption. This study aims to evaluate the human resource (HR) development strategy implemented by the company in supporting the transformation process. Through the literature study method, this research highlights various approaches taken by Telkom, such as strengthening digital competencies through Telkom Corporate University, implementing a digital work culture, developing digital leadership, and adaptive and sustainable talent management. However, the implementation of these strategies faces various challenges, including intergenerational competency gaps, resistance to change, and limited training budgets. The results of the study provide a comprehensive overview of the importance of integration between technology and HR readiness in facing digital transformation, and offer best practices for the SOE sector and other industries.

DOI: 10.47134/jbkd.v2i4.4405

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JOURNAL ARCHIVE 2024-12-21 • Jurnal Bisnis dan Komunikasi Digital • pp. 10–10

The Role of Big Data Analytics in Supporting Decision-Making Theories in Companies

Faizah Ats Tsaniyah, Santika Purwaty Ningsih, Dinda Yovita Cyntia, Indah Respati Kusumasari, Rusdi Hidayat N

Advances in information technology have sparked a revolution in data processing and analysis. Big Data Analytics (BDA) plays an important role in enabling companies to make faster, more accurate, and data-driven decisions. This study adopts a qualitative research approach to explore the intersection of Big Data Analytics (BDA) and decision-making theory. Qualitative research is well suited for this purpose as it enables in-depth exploration of complex phenomena and provides rich contextual insights. Big Data Analytics (BDA) plays an important role in improving decision-making by providing accurate, timely and evidence-based insights. In the manufacturing sector, BDA is used for real-time quality monitoring and predictive maintenance. Big Data Analytics (BDA) contributes significantly to supporting decision theory by improving the quality, speed, and accuracy of the decision-making process. Companies are advised to build a technology infrastructure that supports the comprehensive implementation of BDA.

DOI: 10.47134/jbkd.v2i2.3458

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