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p-Index From 2021 - 2026
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This Author published in this journals
All Journal Journal of Information Systems and Informatics Multidisciplinary Indonesian Center Journal
Hanif Fakhurroja
Telkom University
Religion Humanities Computer Science & IT Earth & Planetary Sciences Education Other

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SYSTEMATIC LITERATURE REVIEW ON DIGITAL TRANSFORMATION IN THE ORGANIZATIONAL BUSINESS Rian Bimo Ankhal; Muharman Lubis; Hanif Fakhurroja
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 3 No. 1 (2026): Vol. 3 No. 1 Edisi Januari 2026
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v3i1.2059

Abstract

Digital transformation has become a crucial aspect of organizational strategies in various industries, including the business sector. This systematic literature review (SLR) focuses on understanding digital transformation within organizational business contexts. Through a systematic search of academic databases, The review explores key themes such as technological innovations, operational changes, customer-centric approaches, regulatory implications, and organizational adaptation. Technologies are driving significant changes, enabling organizations to streamline processes, enhance decision-making, and improve overall efficiency. Moreover, digital transformation is reshaping customer experiences, with personalized services and seamless interactions becoming essential for organizational success. Despite the benefits, organizations face challenges such as regulatory compliance, cybersecurity risks, and cultural resistance. By synthesizing existing research, this SLR aims to provide insights and guidance for organizations navigating the complexities of digital transformation in the organizational business landscape in the organizational business.
Implementing IT-Based Succession Planning in University IT Units: Enhancing Operational Continuity Sherla Yualinda; Taufik Nur Adi; Hanif Fakhurroja; Sherli Yualinda
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1023

Abstract

One of the accredited universities in Indonesia is committed to quality education through the use of information technology. However, the university's IT unit often experiences vacancies in key positions due to high employee turnover, which impacts workload and business processes, especially in handling Request for Change (RFC). While application X supports performance appraisals, it has not been optimized for succession planning. This study explores the potential of application X as a tool for succession planning by integrating the Rothwell and Integrated Talent Management models. The design includes identifying key positions, assessing candidate competencies, preparing development plans, and establishing a structured knowledge transfer system to sustain organizational leadership. Additionally, integrating Large Language Models (LLMs) like ChatGPT is expected to enhance assessment objectivity, provide individual development recommendations, and ensure a more effective leadership transition. The system's role in improving assessment objectivity is vital for unbiased, data-driven decisions, while its contribution to leadership transitions ensures a smoother, more systematic process for maintaining leadership continuity. With features such as candidate search and staff assessment, the system is expected to help organizations select the right replacement and maintain university operations.
Developing an IT-Based Knowledge Sharing System for University IT Units: Integrating Large Model Language Sherli Yualinda; Taufik Nur Adi; Hanif Fakhurroja; Sherla Yualinda
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1024

Abstract

Information technology companies in Indonesia face the challenge of high employee turnover, which leads to the loss of important knowledge and has an impact on productivity and innovation. This research aims to develop conceptual knowledge sharing and knowledge sharing systems in university IT units, which do not yet have an integrated system for documenting knowledge. Observations show that the ticketing system used can be optimized as a long-term knowledge sharing platform. The designed model includes strengthening the culture of sharing, utilizing social networks within the organization, applying information technology, reward systems, and the SECI model approach. In addition to knowledge repository features, role systems, documentation automation, search, and collaboration modules, the integration of Large Language Models (LLM) such as ChatGPT is expected to improve information search, documentation automation. LLMs play a crucial role in enhancing user interactions by enabling natural language queries, improving search accuracy, and automating knowledge classification. Moreover, they facilitate knowledge extraction from unstructured data, assist in summarizing key insights, and provide adaptive learning capabilities. By leveraging LLMs, the system can increase efficiency, reduce the time required to find relevant information, and ensure knowledge continuity within the organization.
Co-Authors Muharman Lubis Rian Bimo Ankhal Sherla Yualinda Sherli Yualinda Taufik Nur Adi