Implementation of the Haversine Formula Method in Geographic Information Systems for Searching the Nearest Sea Freight Expedition Services in East Jakarta

Authors

  • Efriza Yunardi Universitas Catur Insan Cendekia
  • Lena Magdalena Universitas Catur Insan Cendekia
  • Mesi Febima Universitas Catur Insan Cendekia

DOI:

https://doi.org/10.59934/jaiea.v4i1.622

Keywords:

Geographic Information System, EMKL, Haversine Formula, East Jakarta.

Abstract

In export and import activities, a partner is needed for the shipping process. There are three types of shipping routes available for export and import: land, sea, and air. A company that offers shipping services via sea routes is known as an EMKL. This study designs a Geographic Information System (GIS) to facilitate the search for locations of Marine Cargo Expedition Services (EMKL) in East Jakarta using the Haversine Formula. The main problem faced is the difficulty in finding nearby and relevant expedition service providers in a large and densely populated area like East Jakarta. The proposed solution involves developing a system that integrates location data with the Haversine Formula to accurately calculate the distance between the user's location and the service providers. By using this method, the system can provide precise location information and help users select the nearest expedition service. The goal of this research is to enhance efficiency and accuracy in locating expedition services. The expected outcome is the creation of a user-friendly and effective system that simplifies the process of selecting expedition services by considering distance and service availability in real-time.

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References

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Published

2024-10-15

How to Cite

Efriza Yunardi, Lena Magdalena, & Mesi Febima. (2024). Implementation of the Haversine Formula Method in Geographic Information Systems for Searching the Nearest Sea Freight Expedition Services in East Jakarta. Journal of Artificial Intelligence and Engineering Applications (JAIEA), 4(1), 283–288. https://doi.org/10.59934/jaiea.v4i1.622