Perancangan Sistem Informasi Geografis Kondisi Jalan pada Kabupaten Labuhan Batu Utara : Tinjauan Literatur
DOI:
https://doi.org/10.61132/neptunus.v3i1.597Keywords:
Geographic, Information, System, infrastructure, managementAbstract
Road infrastructure is a vital element in supporting economic, social, and transportation activities in a region. Labuhan Batu Utara Regency faces challenges in managing and maintaining road conditions, especially in hard-to-reach areas. This article presents a recent literature review from the past five years on the application of Geographic Information Systems (GIS) for mapping and managing road conditions. The discussion covers technological innovations such as drone usage, machine learning, and crowdsourcing integration within GIS. Additionally, several international and national case studies are referenced to provide insights into the challenges and opportunities of GIS implementation. This article recommends strategies such as open-source GIS implementation, integration with mobile applications, and regular data updates to support efficient road condition management in Labuhan Batu Utara Regency.
References
Darmawan, A., et al. (2021). Challenges in implementing GIS for road infrastructure in Indonesia. International Journal of Civil Engineering, 25(1), 67–79.
Hidayat, S., et al. (2021). Training and capacity building for GIS implementation in local governments. Journal of Infrastructure Policy and Management, 14(3), 298–312.
Li, Z., et al. (2021). Predictive road damage assessment using machine learning and GIS. International Journal of Infrastructure Management, 28(2), 89–107.
Nugroho, T., et al. (2022). Crowdsourcing-based mobile GIS for road damage reporting. Journal of Urban Planning and Development, 48(2), 89–102.
Prasetyo, E., et al. (2023). Integrating machine learning and GIS for predicting road conditions. Geospatial Intelligence Review, 7(1), 45–67.
Putri, A. D., et al. (2022). Penerapan QGIS untuk pemetaan jalan desa di Bantul. Jurnal Geospasial Indonesia, 14(2), 45–57.
Rahman, F., et al. (2020). Drone technology in GIS applications for road condition monitoring. Journal of Remote Sensing Applications, 12(4), 201–216.
Ramadhan, F., et al. (2020). Pemetaan kondisi jalan menggunakan SIG berbasis open source di Kalimantan Selatan. Jurnal Infrastruktur dan Lingkungan, 12(3), 67–82.
Ramesh, K., et al. (2019). Post-disaster road condition mapping using GIS: A case study in Kerala. Disaster Management Review, 15(4), 211–225.
Riyadi, A., et al. (2021). Implementation of QGIS for road maintenance mapping in Indonesia. Journal of Geospatial Applications, 10(3), 45–57.
Rizky, T., et al. (2022). GIS for rural road infrastructure development in developing countries. International Journal of Rural Studies, 8(1), 98–114.
Smith, J., et al. (2020). Integrating big data and GIS for road infrastructure monitoring. Journal of Infrastructure Studies, 18(6), 322–340.
Susanti, R., et al. (2022). The role of GIS in prioritizing road maintenance. Journal of Public Works and Spatial Planning, 30(1), 67–82.
Wahyudi, S., et al. (2020). GIS-based decision support system for road repairs. Journal of Civil and Environmental Engineering, 11(6), 455–462.
Yusuf, M., et al. (2021). Integration of GPS and GIS for road infrastructure analysis. International Journal of Spatial Analysis, 29(2), 188–199.
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