Pencarian Rute Terpendek untuk Pemetaan UMKM di Kecamatan Negeri Katon Menggunakan Algoritma A-Star

In the regional economy, micro, small and medium enterprises (MSMEs) have a very significant role in driving economic growth and opening up employment opportunities for the community. However, the lack of information regarding business locations and optimal routes for MSMEs is still an obstacle in improving accessibility. The lack of information regarding the fastest route to the location of MSMEs leads to limited accessibility, especially for people who are unfamiliar with the area. Therefore, a more optimal startegy is needed to determine the best way to improve the distribution efficiency and mobility of MSMEs. The purpose of this research is to use the A-Star algorithm for mapping MSMEs to find the fastest route to the location of MSMEs. The results show that the A-Star algorithm is able to effectively speed up the route search process by taking into account the appropriate heuristic value. With the implementation of this algorithm, accessibility to MSMEs locations is significantly improved, allowing customers and businesses to easily find MSME locations with greater cost and time efficiency. Based on the research results, the implementation of the A-Star algorithm in MSME mapping has proven successful in optimizing the search for shortest path.

Authors

Publication Details

Journal
Jurnal Informatika Jurnal Pengembangan IT
Published
2025-07-04
DOI
https://doi.org/10.30591/jpit.v10i3.8628
Primary Topic
Management and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Pencarian Rute Terpendek untuk Pemetaan UMKM di Kecamatan Negeri Katon Menggunakan Algoritma A-Star

Yulmaini Yulmaini Yulmaini, Agnes Tria Berlian
Jurnal Informatika Jurnal Pengembangan IT
Management and Optimization Techniques
article

Pencarian Rute Terpendek untuk Pemetaan UMKM di Kecamatan Negeri Katon Menggunakan Algoritma A-Star

Yulmaini Yulmaini Yulmaini, Agnes Tria Berlian
article en

Abstract

In the regional economy, micro, small and medium enterprises (MSMEs) have a very significant role in driving economic growth and opening up employment opportunities for the community. However, the lack of information regarding business locations and optimal routes for MSMEs is still an obstacle in improving accessibility. The lack of information regarding the fastest route to the location of MSMEs leads to limited accessibility, especially for people who are unfamiliar with the area. Therefore, a more optimal startegy is needed to determine the best way to improve the distribution efficiency and mobility of MSMEs. The purpose of this research is to use the A-Star algorithm for mapping MSMEs to find the fastest route to the location of MSMEs. The results show that the A-Star algorithm is able to effectively speed up the route search process by taking into account the appropriate heuristic value. With the implementation of this algorithm, accessibility to MSMEs locations is significantly improved, allowing customers and businesses to easily find MSME locations with greater cost and time efficiency. Based on the research results, the implementation of the A-Star algorithm in MSME mapping has proven successful in optimizing the search for shortest path.

Jurnal Informatika Jurnal Pengembangan ITVol. 10(3)
Openalex Percentile: Top 73%
Management and Optimization Techniques
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