Claim Missing Document
Check
Articles

Found 2 Documents
Search

Strategi Tata Kelola PTS Berbasis Kecerdasan Buatan; Peluang, Risiko, dan Implikasi Manajerial Martini Martini; Nabila Kintan; Nita Novianti; Abdul Rahman
Jurnal Bisnis dan Manajemen (JURBISMAN) Vol. 4 No. 1 (2026): Jurnal Bisnis dan Manajemen (JURBISMAN)
Publisher : Penerbit dan Percetakan CV. Picmotiv

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61930/jurbisman.v4i1.1636

Abstract

Penelitian ini bertujuan untuk menganalisis peluang, risiko, dan implikasi manajerial penerapan kecerdasan buatan (Artificial Intelligence atau AI) dalam tata kelola Perguruan Tinggi Swasta (PTS), serta merumuskan strategi tata kelola yang mendukung transformasi digital secara efektif dan berkelanjutan. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi literatur dan analisis konseptual melalui telaah berbagai artikel ilmiah, dokumen kebijakan, serta pedoman tata kelola AI yang relevan. Hasil penelitian menunjukkan bahwa AI memberikan peluang untuk meningkatkan efisiensi administrasi, kualitas pengambilan keputusan berbasis data, penjaminan mutu, serta layanan akademik. Namun demikian, implementasi AI juga menghadirkan risiko berupa bias algoritma, ancaman terhadap keamanan data, ketergantungan pada teknologi, serta resistensi organisasi. Penelitian ini menghasilkan model AI Governance Strategy Framework yang terdiri atas lima pilar utama, yaitu Data Governance, Ethical Governance, Risk Governance, Digital Leadership, dan Continuous Evaluation. Model tersebut dapat menjadi acuan bagi PTS dalam membangun tata kelola AI yang efektif, aman, adaptif, dan berkelanjutan
Menyiapkan Talenta Digital: Strategi Pengembangan Sumber Daya Manusia dalam Menghadapi Disrupsi AI Sinta Bella Agustina; Abdul Rahman; Yike Diana Putri; M. Bambang Purwanto
Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan Vol. 6 No. 1 (2026): Maret: Jurnal Ilmu Manajemen, Ekonomi dan Kewirausahaan (JIMEK)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jimek.v6i1.10027

Abstract

This research aims to analyze human resource (HR) development strategies in dealing with artificial intelligence (AI) disruption and formulate a digital talent development model based on AI readiness. The global world of work is currently undergoing a major transformation due to technological advances, such as AI, automation, and machine learning, which are causing conventional skills to be increasingly replaced by digital systems. The research approach employed is qualitative descriptive, with a phenomenological analysis conducted through in-depth interviews and literature reviews of industry practitioners, educators, and students in the field of digital technology. Data analysis was conducted using the thematic analysis method to identify patterns of strategy, skill gaps, and collaborative roles between education and industry in the development of digital talents. The results indicate that effective human resource development in response to AI disruption must focus on three key aspects: strengthening the lifelong learning ecosystem, implementing reskilling and upskilling based on digital technology, and fostering collaboration among academics, industry, and government through the Triple Helix approach. The skills most needed in the AI era include a combination of digital literacy, data analytics, AI awareness, critical thinking, creativity, and emotional intelligence. In addition, formal education and industrial training must complement each other in creating adaptive, innovative, and competitive human resources. This research strengthens the relevance of Human Capital Theory, Digital Transformation Framework, and Lifelong Learning Concept as a theoretical foundation in designing digital talent development strategies in the era of the Industrial Revolution 5.0.