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All Journal JURNAL VISIONIDA Jurnal Mandiri Jurnal ICT : Information Communication & Technology Jurnal Ilmiah Edunomika (JIE) Asian Journal of Aquatic Sciences Jurnal Akuntansi dan Manajemen Jurnal Pengabdian kepada Masyarakat Nusantara Buletin Poltanesa Jurnal Manajemen dan Kewirausahaan Innovative: Journal Of Social Science Research Jurnal Edukasi IIJSE Journal of Economics, Bussiness and Management Issues
Afzil Ramadian
Universitas Djuanda
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Journal : JURNAL VISIONIDA

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Strategi Penerapan Manajemen Risiko Dalam Navigasi Revolusi Industri 4.0: Tinjauan Dari Prespektif Bisnis Ramadian, Afzil; Mulyantoro, Muhamad Anto; Anugrah, Neng Revi
Jurnal Visionida Vol. 10 No. 1 (2024): Juni
Publisher : Fakultas Ekonomi Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jvs.v10i1.13468

Abstract

The purpose of this study was to determine the strategy for implementing risk management in navigating the industrial revolution 4.0 with a view from a business perspective. This research method is a literature study that uses a descriptive qualitative approach using library research sources. The results of this review show that today's increasingly sophisticated technology is characterized by the Industrial Revolution 4.0. In utilizing the Industrial Revolution 4.0, an effective system is needed to control and minimize the risks that may occur. To minimize the risks that may occur, companies can implement risk management. As a process of drastic change, the industrial revolution 4.0 brings various implications both positive and negative. Proper risk management is the key to success in dealing with rapid changes in the industrial environment. By understanding the principles of risk management and applying them effectively, companies can optimize long-term growth opportunities and protect corporate value. Tujuan penelitian ini untuk mengetahui strategi penerapan manajemen ririko dalam navigasi revolusi industry 4.0 dengan tijauan dari perspektif bisnis. Metode penelitian ini adalah studi literatur yang menggunakan pendekatan kualitatif deskriptif dengan menggunakan sumber-sumber kepustakaan (library research). Hasil tinjauan ini menunjukkan bahwa teknologi yang semakin canggih saat ini ditandai dengan adanya Revolusi Industri 4.0. Dalam pemanfaatan Revolusi Industri 4.0, diperlukan sebuah sistem yang efektif untuk mengendalikan dan meminimalkan risiko yang mungkin akan terjadi. Untuk meminimalkan resiko yang mungkin terjadi perusahaan dapat menerapkan manejem risko. Sebagai sebuah proses perubahan drastis, revolusi industri 4.0 membawa berbagai implikasi baik positif maupun negatif. Pengelolaan risiko yang tepat menjadi kunci kesuksesan dalam menghadapi perubahan cepat di lingkungan industri. Dengan memahami prinsip-prinsip manajemen risiko dan menerapkannya secara efektif, perusahaan dapat mengoptimalkan peluang pertumbuhan jangka panjang dan melindungi nilai perusahaan.
REINVITING HUMAN RESOURCE MANAGEMENT IN THE AGE OF ARTIFICIAL INTELLIGENCE Ramadian, Afzil; Ismartaya; Fadla, Syakira; Zamil, Esih Nurasiah
Jurnal Visionida Vol. 11 No. 2 (2025): Desember
Publisher : Fakultas Ekonomi Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jvs.v11i2.22285

Abstract

This study conducts a systematic literature review and bibliometric analysis to map the intellectual structure and thematic evolution of Artificial Intelligence (AI) and Machine Learning (ML) in Human Resource Management (HRM), with a focus on sustainability implications in business. Using PRISMA 2020, 62 articles were selected from Scopus-indexed publications. Bibliometric analysis via VOS viewer reveals three dominant thematic clusters: technical foundations of AI/ML, HRM-oriented applications, and data-driven decision-support systems. Key findings identify India, China, Malaysia, and the United States as leading contributors, with strong South–South collaborations especially between India and Malaysia highlighting emerging innovation pathways in plural economies. The results demonstrate that AI–HRM synergy significantly enhances business sustainability by enabling data-driven strategic decisions, optimizing resource allocation, and supporting personalized and inclusive HR practices. However, ethical risks such as algorithmic bias pose challenges to sustainable implementation. The study recommends transparent AI governance, regular algorithmic audits, and Human-in-the-Loop (HITL) protocols to ensure that AI integration strengthens rather than undermines human-centric and sustainable HRM. These insights provide a foundation for policymakers and organizations pursuing responsible digital transformation in dynamic regions such as Southeast Asia.
Co-Authors .S.T., M.Kom., Suhadi Amanda Fitriyani Anugrah, Neng Revi Awa Awa Awa Awa Chairuddin Chairuddin Dede Syahrudin Della Zulfia Nurlinda Dewi, Sri Eka Encep Sopandi, Encep Esih Nurasiah Zamil Fadla, Syakhira Fadla, Syakira Fairuz, Rozaan Fitriyani, Amanda Halimatussadiah, Siti Hamdani, Muhammad Fadli Hariyadi , Mursidi Hutomo, Yoyok Priyo ISMARTAYA Ismartaya Ismartaya Ismartaya, Ismartaya La Sara Lestari, Panca Indah Loso Judijanto M. Albi Sahal Ma’hadi Meisyarani, Nara Mulyantoro, Muhamad Anto Nadifah, Najla Virda Neng Nanda Sarah Novita Nurdiana, Ratna Putri Nurjanah, Dewi Astri Nurlinda, Della Zulfia Palahudin, Palahudin Prima Dina Atika Puput Sabrina Laelani Putri Rabbani, Muhammad Rafi Rabbani, Rafi Rachmawati Rachmawati Rahayu, Annisa Dwi Ramadhina, Novy Revaliana Putri Robyanshyah, Robyanshyah Saepul Alam Samsuri Samsuri Sarah Novita, Neng Nanda Sulistiawati, Vira Sutyawan, Fery Syakhira Fadla Zamil, Esih Nurasiah