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All Journal M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Logistica : Journal of Logistic and Transportation
Uvi Dwian Kencono
Universitas An Nasher
Education Mathematics Transportation

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Optimal Control of The Spread of COVID-19 in Jakarta Rizki Chika Audita Ariyani; Widowati Widowati; Uvi Dwian Kencono; Lucky Cahya Wanditra; Dhimas Mahardika
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 2 (2026): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v11i2.1145

Abstract

SARS-CoV-2 is the virus that causes COVID-19. In Indonesia, the highest number of COVID-19 cases is in the Jakarta province. It is necessary to restrict the virus's transmission. This research purposes to determine optimal control strategies (self-prevention, vaccination, and cure) of the SEAIQHRD model to reduce disease spread. Optimal control analysis is solved utilising Pontryagin's Minimum Principle. In this study, numerical simulations were conducted using COVID-19 outbreak data from Jakarta province from March 1 to August 31, 2022. Based on the analysis results, the basic reproduction number ℜ0 = 2,1316. Since ℜ0 > 1 at the EE point, the COVID-19 spread model is asymptotically stable, indicating that the virus persists in the population. The application of control steps combining all three strategies was shown to reduce the subpopulations of exposed, infected, hospitalized, and deceased individuals. Simultaneous optimal control is more effective at controlling the spread than using a control step. The simultaneous implementation of optimal controls has proven an effective strategy for reducing COVID-19 transmission in Jakarta.
Collaboration, Agility, and Redundancy: Key Strategies for Managing Global Supply Chain Disruptions Uvi Dwian Kencono; Yakuttinah Marjan; Dimas Endrawan Putra; Ahnis Zulkarnain
Logistica : Journal of Logistic and Transportation Vol. 3 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/logistica.v3i3.1064

Abstract

Global supply chains have become highly vulnerable to disruptions caused by pandemics, geopolitical conflicts, trade wars, and sustainability pressures. This narrative review synthesizes existing research on risk management strategies with a focus on resilience, collaboration, sustainability, and strategic intelligence. Literature searches were conducted in Scopus, Web of Science, and Google Scholar, covering studies published between 2010 and 2024. The findings highlight resilience strategies—such as redundancy, agility, and digitalization—as essential mechanisms for mitigating disruptions. Redundancy reduces operational vulnerabilities through buffer inventories and multiple sourcing, while agility enables rapid adjustments to volatile conditions. Digitalization further enhances resilience by improving real-time monitoring and decision-making. Collaborative governance and risk-sharing contracts strengthen supply chain networks by fostering trust and distributing risks equitably. Geopolitical events and the COVID-19 pandemic illustrate the fragility of global networks, emphasizing the importance of supplier diversification, localization, and technological preparedness. Sustainability-related risks, including environmental, social, and governance (ESG) issues, require integrated frameworks that align resilience strategies with ethical and regulatory imperatives. Strategic intelligence emerges as a dynamic capability that supports proactive adaptation and recovery. This review concludes that effective supply chain risk management requires integrated and adaptive frameworks combining resilience, collaboration, and intelligence. Policy support, investment in logistics infrastructure, and targeted strategies for small and medium-sized enterprises (SMEs) are critical for building sustainable and competitive global supply chains in an increasingly uncertain environment,
Co-Authors Dhimas Mahardika Dimas Endrawan Putra Lucky Cahya Wanditra Rizki Chika Audita Ariyani Widowati, Widowati Yakuttinah Marjan Zulkarnain, Ahnis