Artificial Intelligence for Socio-Ecological Resilience andSustainable Resource Governance

Ayu  Rimanda; Prima  Wira Nanda; Zakia  Hary Nisa; Lilik  Susilowati

doi:10.68012/air.v1i2.256

Authors

Ayu Rimanda Universitas Bhakti Pertiwi Indonesia Author https://orcid.org/0009-0004-5747-8379
Prima Wira Nanda Universitas Bhakti Pertiwi Indonesia Author https://orcid.org/0009-0005-0583-8034
Zakia Hary Nisa Universitas Bhakti Pertiwi Indonesia Author https://orcid.org/0009-0003-2625-0518
Lilik Susilowati Universitas Bhakti Pertiwi Indonesia Author https://orcid.org/0009-0005-1081-7596

DOI:

https://doi.org/10.68012/air.v1i2.256

Keywords:

Artificial Intelligence, Environmental Resilience, Sustainable Resource Governance, Green AI, Environmental Governance

Abstract

Climate change, biodiversity loss, resource depletion, and increasingly volatile environmental conditions require governance systems that can move beyond retrospective monitoring toward anticipatory and adaptive action. Artificial intelligence (AI) offers relevant capabilities, but current environmental applications remain fragmented across sensing, prediction, optimization, and decision support. This study develops the AI Enabled SocioEcological Resilience Framework (AI SERF) through a systematic literature review and qualitative conceptual synthesis of peer reviewed studies published between January 2022 and June 2026. The reported review process screened 412 records and retained 73 studies for thematic synthesis. The revised framework links four functional pillars, namely Autonomous Eco Monitoring, Predictive Resource Optimization, Adaptive Algorithmic Governance, and Eco Resilient Feedback Loops, to absorptive, adaptive, and transformative resilience capacities. Its novelty lies not in proposing another isolated AI architecture, but in connecting data acquisition, predictive intelligence, human supervised governance, ecological intervention, and learning within a single resilienceoriented cycle. The framework is operationalized through candidate data sources, AI models, governance actors, performance indicators, and responsible AI safeguards. Particular attention is given to explainability, energy and carbon efficiency, algorithmic bias, cyberphysical security, institutional capacity, and data limitations in tropical and archipelagic settings. The study provides a theoretically grounded and implementation oriented basis for future empirical validation of AI enabled environmental governance and clarifies its contribution to SDGs 9, 11, 13, 14, and 15

References

[1] I. Sembiring, U. Rahardja, D. Manongga, Q. Aini, and A. Wahab, “Enhancing aiku adoption: Insights from the role of habit in behavior intention,” Aptisi Transactions on Technopreneurship, vol. 6, no. 1, pp. 84–108, 2024.

[2] C. Lukita, T. Handra, F. P. Oganda, and M. Laurens, “Data-driven innovation for circular digital economy in sustainable urban development,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 1, pp. 97–105, 2025.

[3] A. Jaya, R. Z. Ikhsan, N. Hidayat, A. Adiwijaya, and T. H. Zane, “Application of green technology in digital supply chains to improve sustainability performance,” Technomedia Journal, vol. 11, no. 1, pp. 61–73, 2026.

[4] J. Juanda, R. J. Riansyah, A. Arsadi, and L. Bethany, “Towards entrepreneurial campus sustainability: Integrating artificial intelligence for resource allocation in business management,” Aptisi Transactions on Technopreneurship, vol. 6, no. 3, pp. 314–323, 2024.

[5] H. Henry, K. Lutfiyah, H. Agustian, and N. Lachlan, “Assessing the environmental and economic impact of smart grid integration in renewable energy management,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 1, pp. 38–50, 2025.

[6] U. Rahardja, P. A. Sunarya, Q. Aini, S. Millah, and S. Maulana, “Technopreneurship in healthcare: Evaluating user satisfaction and trust in ai-driven safe entry stations,” Aptisi Transactions on Technopreneur ship, vol. 6, no. 3, pp. 404–417, 2024.

[7] M. Choiri, E. S. Pramudito, F. Sutisna, and R. S. Sean, “Business artificial intelligence for enhancing sustainable decision intelligence,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 1, pp. 106–116, 2025.

[8] M. Hardini, S. Rusdian, D. N. Ramadhan, M. A. Komara, and C. G. Wagner, “Platform based digital business model analysis to enhance sustainable organizational competitiveness,” Technomedia Journal, vol. 11, no. 1, pp. 101–114, 2026.

[9] I. Sembiring, D. Manongga, U. Rahardja, and Q. Aini, “Understanding data-driven analytic decision making on air quality monitoring an empirical study,” Aptisi Transactions on Technopreneurship, vol. 6, no. 3, pp. 418–431, 2024.

[10] E. Erika, B. S. Riza, S. Maulana, and S. Rahagi, “Mapping the nexus of strategic management and sustainable development goals 12 with a focus on innovation: A bibliometric analysis,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 1, pp. 71–84, 2025.

[11] R. Haris, S. A. Anjani, S. Triandari, M. T. D. Putri, and M. Mutie, “Leveraging artificial intelligence technology to drive product innovation in digital business development,” Technomedia Journal, vol. 11, no. 1, pp. 115–126, 2026.

[12] S. Andhella, H. Djajadikerta, and M. Y. Marjuka, “Technopreneurship in pro-environmental behavior for sustainable carbon emission reduction in central kalimantan,” Aptisi Transactions on Technopreneurship, vol. 6, no. 2, pp. 254–269, 2024.

[13] D. Hermawan, S. Audiah, M. F. Fazri, and I. Kovac, “Analyzing determinants of consumer purchasing behavior toward solar panels in indonesia,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 1, pp. 61–70, 2025.

[14] I. Geraldina, A. Muktiyanto, and U. Rahardja, “Boosting esg performance: Overcoming collusion among entrepreneurial family and institutional shareholders,” Aptisi Transactions on Technopreneurship, vol. 7, no. 1, pp. 48–60, 2025.

[15] A. Simanjuntak, A. Sutarman, S. A. Anjani, and A. Nuche, “Integrating artificial intelligence in e-learning for organizational well-being through orange technology mapping,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 1, pp. 13–26, 2025.

[16] M. Muhtarom, U. Rahardja, P. A. Sunarya, and A. Freeman, “Digital transformation in public administration through digital leadership to improve government efficiency,” Technomedia Journal, vol. 11, no. 1, pp. 1–11, 2026.

[17] M. Annas, T. Handra, C. S. Bangun, U. Rahardja, and N. Septiani, “Reward and promotion: Sustainable value of post pandemic efforts in medical cold-supply chain,” Aptisi Transactions on Technopreneurship, vol. 6, no. 1, pp. 109–118, 2024.

[18] W. W. A. Effendi, M. Maswanto, M. Murod, and I. Maria, “Artificial intelligence enhancing financial regulatory compliance through regtech governance applications,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 2, pp. 216–225, 2026.

[19] C. Lukita, A. W. Abdul Rahman, I. N. Hikam, and U. Rahardja, “Integrating strategic management with sdg 10 for sustainable development and equity,” Aptisi Transactions on Technopreneurship, vol. 7, no. 2, pp. 638–649, 2025.

[20] U. Rahardja, R. U. Wijayanti, Y. Christy, and G. Fransiso, “A qualitative case study on fintech-driven modernization of capital market infrastructure,” IAIC Transactions on Sustainable Digital Innovation, vol. 7, no. 2, pp. 198–207, 2026.

[21] W. E. Saputri, R. Hurriyati, and T. Gunawan, “The influence of functional and green values on gen z green product purchases and entrepreneurial opportunities,” Aptisi Transactions on Technopreneurship, vol. 6, no. 3, pp. 562–573, 2024.

[22] F. Tajri M, O. F. Ngabito, D. Huldiansyah, A. N. Sofyan, M. B. Kurniawan, and S. A. Pratama, “Design and development of an augmented reality learning medium for the conservation of the endemic flora balikpapan ginger (etlingera balikpapanensis),” IAIC Transactions on Sustainable Digital Innovation, vol. 8,no. 1, pp. 1–11, 2026.

[23] O. Ferli, N. A. Achsani, T. Andati, and Z. Asikin, “Sustainable business innovation in indonesian firms esg disclosure profitability and greenwashing,” Aptisi Transactions on Technopreneurship, vol. 8, no. 2, pp. 405–419, 2026.

[24] R. Kurniaji, N. Azizah, M. Rakhmansyah, U. Rahardja, and A. Ismail, “Business intelligence-based risk analysis approach to prevent accidents in overhead crane operations,” IAIC Transactions on Sustainable Digital Innovation, vol. 8, no. 1, pp. 12–23, 2026.

[25] A. Aulia, C. Sukmadilaga, I. Avianti, D. Rosdini, and E. K. Ghani, “The role of esg and digitalization driving sustainable agropreneurship in emerging market,” Aptisi Transactions on Technopreneurship, vol. 8, no. 1, pp. 51–62, 2026.

[26] Q. Aini, M. Hardini, I. N. Hikam, and T. Green, “Framework for implementing green supply chain practices in indonesian small and medium enterprises,” APTISI Transactions on Management, vol. 9, no. 3, pp. 290–301, 2025. [27] P. Paroli, A. Rizky, Q. Aini, D. Cahyono, J. Parker, and U. Rahardja, “Artificial intelligence driven predictive risk management in green technology investment,” APTISI Transactions on Management, vol. 10,no. 2, pp. 203–214, 2026.

[28] I. Siswanti, H. A. Riyadh, L. C. Nawangsari, and Y. F. Cahaya, “Integrating green banking into sustainable development strategies for commercial bank efficiency,” Aptisi Transactions on Technopreneurship, vol. 8, no. 1, pp. 351–364, 2026.

[29] W. Usino, M. M. Sari, F. P. Oganda, O. P. M. Daeli, and E. Smith, “Artificial intelligence integration for sustainable business model innovation insights from global startups,” Smart Human-centered Emerging Research in Machine Intelligence, vol. 1, no. 2, pp. 82–89, 2025.

[30] A. Rizky, R. Arifin, A. Andika, O. P. M. Daeli, and C. T. Hua, “Harnessing ai to improve operational effectiveness and strengthen organizational adaptability,” Journal of Computer Science and Technology Application, vol. 2, no. 2, pp. 80–89, 2025.

[31] United States Department of Agriculture, “Artificial intelligence strategy fy 2025–2026,” United States Department of Agriculture, Tech. Rep., 2025. [Online]. Available: https://www.usda.gov/