APPLICATION OF THE A-STAR ALGORITHM IN DETERMINING THE SHORTEST ROUTE TO TOURIST ATTRACTIONS IN TEMANGGUNG REGENCY

The objectives of this research are: (1) Knowing the results of applying the A-Star algorithm in determining the shortest route to tourist attractions in Temanggung Regency and (2) Knowing the comparison of the results of the shortest route using the A-Star algorithm with Google Maps. The data sources for this research are the Temanggung Regency Tourism and Culture Office, Google Maps, and Google Earth. The research results show that: (1) Based on the calculation results, 100 routes were obtained to 20 tourist attractions in Temanggung Regency from 5 entrances as starting points. Routes that pass several tourist attractions are grouped into one tour package. From Entrance 1 there are 18 tour packages, entrance 2 there are 18 tour packages, entrance 3 there are 17 tour packages, entrance 4 there are 6 tour packages, and entrance 5 there are 13 tour packages and (2) Calculation of the shortest route using an algorithm A-Star compared to Google Maps shows varying results. Of the 100 shortest routes generated, 19 routes have the same value, while 81 routes have different values. Of the 81 routes with different values, 64 routes show that the value produced by Google Maps is greater than that of the A-Star algorithm, and 17 routes show that the value produced by the A-Star algorithm is greater than that of Google Maps.

Authors

Institutions

Publication Details

Journal
Jurnal Kajian dan Terapan Matematika
Published
2025-10-14
DOI
https://doi.org/10.21831/jktm.v11i2.21860
Primary Topic
Decision Support System Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

APPLICATION OF THE A-STAR ALGORITHM IN DETERMINING THE SHORTEST ROUTE TO TOURIST ATTRACTIONS IN TEMANGGUNG REGENCY

Abdail Uzza Al Arzami, Husna Arifah
Jurnal Kajian dan Terapan Matematika
Decision Support System Applications
article

APPLICATION OF THE A-STAR ALGORITHM IN DETERMINING THE SHORTEST ROUTE TO TOURIST ATTRACTIONS IN TEMANGGUNG REGENCY

Abdail Uzza Al Arzami, Husna Arifah
article en

Abstract

The objectives of this research are: (1) Knowing the results of applying the A-Star algorithm in determining the shortest route to tourist attractions in Temanggung Regency and (2) Knowing the comparison of the results of the shortest route using the A-Star algorithm with Google Maps. The data sources for this research are the Temanggung Regency Tourism and Culture Office, Google Maps, and Google Earth. The research results show that: (1) Based on the calculation results, 100 routes were obtained to 20 tourist attractions in Temanggung Regency from 5 entrances as starting points. Routes that pass several tourist attractions are grouped into one tour package. From Entrance 1 there are 18 tour packages, entrance 2 there are 18 tour packages, entrance 3 there are 17 tour packages, entrance 4 there are 6 tour packages, and entrance 5 there are 13 tour packages and (2) Calculation of the shortest route using an algorithm A-Star compared to Google Maps shows varying results. Of the 100 shortest routes generated, 19 routes have the same value, while 81 routes have different values. Of the 81 routes with different values, 64 routes show that the value produced by Google Maps is greater than that of the A-Star algorithm, and 17 routes show that the value produced by the A-Star algorithm is greater than that of Google Maps.

Jurnal Kajian dan Terapan MatematikaVol. 11(2)
Yogyakarta State University (ID)
Openalex Percentile: Top 53%
Decision Support System Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.