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Kesuma, Hendrie Prima
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Medicine & Pharmacology Nursing Public Health

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Pengembangan Model Prediktif untuk Manajemen Risiko dalam Rantai Pasok Global Menggunakan Big Data Analytics Kesuma, Hendrie Prima; Wulandari, Mery
Jurnal Kesehatan & Disiplin Ilmu Vol 3 No 01 (2025): Ilmu Kesehatan & Multidisiplin Ilmu
Publisher : LPPM Akper Kebonjati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4143/jki.v3i01.107

Abstract

Global supply chains face various risks that can interfere with smooth operations and business efficiency. With increasing complexity and uncertainty, companies need to implement advanced technologies such as Big Data Analytics to manage and mitigate risks. This research aims to develop a predictive model based on Big Data Analytics that can improve the resilience of global supply chains through early detection and real-time risk mitigation. The research method involves collecting and analyzing historical data and applying machine learning algorithms to build prediction models. The results show that the use of big data-based predictive models can improve accuracy in identifying risks and accelerate strategic decision-making.
Co-Authors Wulandari, Mery