Geographic Information System for Shortest Route Search of Inseminator Locations Using A* Algorithm

Authors

  • Rini Sabdo Ningsih Universitas Muhammadiyah Pontianak
  • Sucipto Universitas Muhammadiyah Pontianak
  • Barry Caesar Octariadi Universitas Muhammadiyah Pontianak

DOI:

https://doi.org/10.59934/jaiea.v4i3.946

Keywords:

Geographic Information System, Inseminator, A* Algorithm, Route Search, Google Maps API

Abstract

This research develops a web-based Geographic Information System (GIS) to help farmers in Ketapang Regency locate the nearest inseminator efficiently using the A* algorithm. Livestock plays a crucial role in food security, and artificial insemination (IB) enhances cattle quality and quantity. However, farmers face challenges in finding inseminator locations quickly. The system is implemented using the Laravel framework for the backend and Google Maps API for visualization. It also evaluates the A* algorithm’s effectiveness in determining optimal routes by comparing it with the Google Maps API route feature. The expected outcome is a more efficient insemination process, supporting modern and productive livestock development in Ketapang Regency.

 

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References

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Published

2025-06-15

How to Cite

Rini Sabdo Ningsih, Sucipto, & Barry Caesar Octariadi. (2025). Geographic Information System for Shortest Route Search of Inseminator Locations Using A* Algorithm. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(3), 1567–1571. https://doi.org/10.59934/jaiea.v4i3.946

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Articles