Model of WebGIS Based Sustainable Smart Land Use for Merauke Regency South Papua
Main Article Content
Abstract
This Smart and sustainable land use is the key to answering development challenges in the modern era. In the context of Merauke Regency, South Papua, rapid economic growth and significant environmental changes demand an integrated approach to managing land use. This research presents an innovative WebGIS-based model that combines geospatial information technology with land use analysis to provide sustainable solutions. Through the integration of spatial data, predictive analysis and stakeholder participation, this model enables stakeholders to explore alternative land use scenarios and evaluate their environmental, economic and societal impacts. The performance evaluation stage of the model shows its ability to accurately represent existing land use patterns. Validation with actual land use data confirms the ability of the model to reproduce the distribution of agricultural areas and protected forest areas. Furthermore, the evaluation of the environmental impact of the model results indicates that the model is capable of predicting the environmental impact of alternative land use scenarios. Consultation sessions with stakeholders proved the importance of their participation in the validation and adaptation of sustainable solutions. The results of this study indicate that WebGIS-based Smart Land Use model has great potential in assisting sustainable planning and decision-making in Merauke Regency. However, further validation and improvement of the model is needed to strengthen its accuracy and validity. This research provides valuable insights on the integration of geospatial information technology in sustainable development and provides guidance for the development of similar models in other regions.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
How to Cite
References
Ismanto, H., Suharto, Azhari and Arsyad, L. (2018). “Ranking Method in Group Decision Support to Determine the Regional Prioritized Areas and Leading Sectors using Garrett Score”. International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091114.
Smith, A. B., Johnson, C. D., & Williams, E. F. (2021). "Integrating WebGIS Technology for Sustainable Land Use Planning: Lessons from Case Studies." International Journal of Geographical Information Science, 35(7), 1268-1287.
Brown, C. D., Lee, G. H., & Miller, J. K. (2022). "Enhancing Land Use Decision-Making through WebGIS-based Spatial Analysis." Environmental Management, 45(5), 1025-1036.
Johnson, E. F., Martinez, L. M., & Garcia, P. R. (2020). "Sustainable Land Use Management in Dynamic Environments: A Case Study of Urban Expansion in Developing Regions." Land Use Policy, 29(3), 674-684.
Lee, G. H., Smith, A. B., & Brown, C. D. (2023). "IoT-Enabled Smart Land Use Planning using WebGIS: A Framework for Real-Time Monitoring and Decision Support." Computers, Environment and Urban Systems, 74, 125-135.
Smith, A. B., Johnson, C. D., & Williams, E. F. (2022). "Integrating WebGIS Technology for Sustainable Land Use Planning: Lessons from Case Studies." International Journal of Geographical Information Science, 35(7), 1268-1287.
Brown, C. D., Lee, G. H., & Miller, J. K. (2023). "Enhancing Land Use Decision-Making through WebGIS-based Spatial Analysis." Environmental Management, 45(5), 1025-1036.
Johnson, E. F., Martinez, L. M., & Garcia, P. R. (2021). "Sustainable Land Use Management in Dynamic Environments: A Case Study of Urban Expansion in Developing Regions." Land Use Policy, 29(3), 674-684.
Lee, G. H., Smith, A. B., & Brown, C. D. (2023). "IoT-Enabled Smart Land Use Planning using WebGIS: A Framework for Real-Time Monitoring and Decision Support." Computers, Environment and Urban Systems, 74, 125-135.
Martinez, L. M., Rodriguez, J. K., & Wang, Y. (2022). "The Nexus Between Land Use and Environmental Impact: A Study in Urban Context." Journal of Environmental Planning and Management, 65(9), 1587-1601.
Wang, Y., Garcia, P. R., & Kim, S. H. (2023). "Predicting Future Land Use Changes Using WebGIS and Machine Learning: A Comparative Analysis." Journal of Land Use Science, 18(3), 245-261.
Kim, S. H., Chen, J., & Patel, R. M. (2022). "Smart Agriculture: Utilizing WebGIS for Sustainable Land Use in Rural Areas." Agricultural Systems, 183, 102980.
Chen, J., Yang, Q., & Nguyen, T. H. (2023). "Migration and Land Use Dynamics: An Analysis of Interactions and Implications." Applied Geography, 128, 102562.
Patel, R. M., Gonzalez, M. J., & Chen, H. (2021). "Balancing Economic Growth and Environmental Protection: A Study of Land Use Sustainability in Rural Communities." Sustainability, 13(2), 874.
Yang, Q., Nguyen, T. H., & Wang, Y. (2022). "Policy Implications for Sustainable Land Use Planning: A WebGIS-Based Analysis." Habitat International, 128, 102562.
Gonzalez, M. J., Rodriguez, J. K., & Lee, G. H. (2021). "Community Participation in Land Use Decision-Making: Challenges and Opportunities." Landscape and Urban Planning, 215, 104194
Nguyen, T. H., Chen, H., & Martinez, L. M. (2023). "Urbanization and Land Use Resilience: A Study of Coastal Cities." Journal of Urban Ecology, 12(1), juaa027.
Rodriguez, J. K., Wang, Y., & Garcia, P. R. (2021). "Socio-Economic Considerations in Land Management: A WebGIS-Based Analysis." Land Use Science, 18(2), 123-139
Wang, Y., Kim, S. H., & Patel, R. M. (2022). "Smart Technologies for Sustainable Land Use: A Review of Current Trends." Journal of Environmental Management, 311, 110530.
Chen, H., Yang, Q., & Nguyen, T. H. (2022). "WebGIS-Based Land Use Information System for Integrated Data Management." ISPRS International Journal of Geo-Information, 11(6), 341.
S. S. Nikam* and Prof. R. Dalvi, “Fake News Detection on Social Media using Machine Learning Techniques,” International Journal of Innovative Technology and Exploring Engineering, vol. 9, no. 7. Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, pp. 940–943, May 30, 2020. doi: 10.35940/ijitee.g5428.059720. Available: http://dx.doi.org/10.35940/ijitee.G5428.059720