Revolutionizing Environmental Data Management in Quarry: The Application of AI in Consolidating Monthly Production Reports of Cabanatuan City Environment and Natural Resources Office (CCENRO)

Salvador Loria, Jr.; Ailene Q. Supian; Iyler Kim T. Valino; Darwin L. Uy1

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Publication Date: 2025/01/01

Abstract: With the advent of the integration of Artificial Intelligence (AI) in private and government services, this has attracted noteworthy attention in improving the work of all professionals and service workers. This study explores the depth on how artificial intelligence (AI) can revolutionize environmental data management in the quarry sector, with a particular focus on the Cabanatuan City Environment and Natural Resources Office (CCENRO). With the potential to enhance the basic services outcomes and streamlining the processes, this study likewise scrutinizes the benefits and impacts of integrating Artificial Intelligence (AI) tools into the services provided by CCENRO. Furthermore, this study is aimed to be accomplished by qualitative method approach through interviews by focusing on the effects of AI integration on the aspect of data compilation, report generation and data analysis. The impact of AI-driven approach to efficiently and effectively managing data is expected to manifest: it will provide reduction on time and effort required for data processing while also improving the accuracy of the reports generated for informed decision-making. By rationalization the data management process with AI-driven approach, CCENRO can monitor quarry activities in real time, allowing for quicker responses to environmental concerns and increasing transparency in operations. This paper highlights not only the immediate benefits observed at CCENRO but also the broader implications for environmental governance. It makes a strong case for the adoption of AI technologies across various services in the government, demonstrating how such innovations can lead to more efficient, sustainable practices and better management of natural resources. This study underscores the potential of AI to transform environmental data management, making it more efficient and effective. By embracing these technologies, organizations like CCENRO can foster a more sustainable future while ensuring the protection of our natural resources.

Keywords: CCENRO, Artificial Intelligence (AI), Data Management, Quarry Monitoring.

DOI: https://doi.org/10.5281/zenodo.14575896

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24DEC1726.pdf

REFERENCES

  1. Mine Safety, Environment and Social Development Division, “Safety and Health, Environment, and Social Development and Management Manual (Amended)”, vi, July 2021.
  2. Republic Act (R.A.) No. 7942, “Philippine Mining Act of 1995”, Department of Environment and Natural Resources (DENR) Administrative Order (DAO) No. 2010-21, Revised Implementing Rules and Regulations (IRR), Chapter XXIX, Section 270-a, July 2010.
  3. De Souza, M., & Pereira, J. (2021). "Challenges in Quarry Management." Journal of Industrial Sustainability.
  4. Concepcion, R., Bedruz, R., Culaba, A., Dadios, E., Pascua, A. (2020). “The Technology Adoption and Governance of Artificial Intelligence in the Philippines”
  5. Badger, N., “Guide to AI Reporting: Transforming Data into Actionable Insights”, May 2024 from https://www.akkio.com/post/guide-to-ai-reporting-transforming-data-into-actionable-insights
  6. Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
  7. Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelligence: What it can and cannot do for your organization. Harvard Business Review, 95(4), 54-62.