Pengembangan Algoritma A-Star dengan Penyesuaian Heuristik untuk Pencarian Rute Optimal

The The A-Star algorithm is one of the most popular shortest route search algorithms due to its effectiveness in finding optimal solutions. This study focuses on modifying the A-Star algorithm to improve its performance in optimizing the shortest route. The study was conducted by comparing the standard A-Star algorithm and its modified version based on the number of iterations required to reach the optimal solution. The assessment was carried out manually and through a computer program using sample data from tourist locations in Blitar as a case study. The results of the analysis in 20 comparative experiments showed that the modified A-Star algorithm was able to minimize the number of iterations by up to 32% compared to the standard A-Star algorithm. This finding indicates that the modifications made to the A-Star algorithm can increase efficiency without reducing the accuracy of the results. This study provides an important contribution to the development of shortest route search algorithms, especially in their application to the tourism sector and navigation systems.

Authors

Publication Details

Journal
Jurnal Riset Mahasiswa Matematika
Published
2025-02-28
DOI
https://doi.org/10.18860/jrmm.v4i2.31208
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Pengembangan Algoritma A-Star dengan Penyesuaian Heuristik untuk Pencarian Rute Optimal

Juhari Juhari, Achmad Nasichuddin, Achmad Faiz Sukroni
Jurnal Riset Mahasiswa Matematika
Decision Support System Applications
article

Pengembangan Algoritma A-Star dengan Penyesuaian Heuristik untuk Pencarian Rute Optimal

Juhari Juhari, Achmad Nasichuddin, Achmad Faiz Sukroni
article en

Abstract

The The A-Star algorithm is one of the most popular shortest route search algorithms due to its effectiveness in finding optimal solutions. This study focuses on modifying the A-Star algorithm to improve its performance in optimizing the shortest route. The study was conducted by comparing the standard A-Star algorithm and its modified version based on the number of iterations required to reach the optimal solution. The assessment was carried out manually and through a computer program using sample data from tourist locations in Blitar as a case study. The results of the analysis in 20 comparative experiments showed that the modified A-Star algorithm was able to minimize the number of iterations by up to 32% compared to the standard A-Star algorithm. This finding indicates that the modifications made to the A-Star algorithm can increase efficiency without reducing the accuracy of the results. This study provides an important contribution to the development of shortest route search algorithms, especially in their application to the tourism sector and navigation systems.

Jurnal Riset Mahasiswa MatematikaVol. 4(2)
Openalex Percentile: Top 88%
Decision Support System Applications
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Pengembangan Algoritma A-Star dengan Penyesuaian Heuristik untuk Pencarian Rute Optimal — Juhari Juhari, Achmad Nasichuddin, et al. · Jurnal Riset Mahasiswa Matematika (2025) | TGRS Research Map | TGRS