Geolocation Apps using A* Algorithm for Android Based Traders
The development of technology has a positive effect on the trade sector, creating smartphones that can be utilized in all activities combined with the internet network. Activity that is currently growing is a mobile trader in the city of Pekanbaru. This development caused much competition, for examp...
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2021
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oai:doaj.org-article:b3a0aedf18014c9980be523f7c7144b62021-11-04T09:53:22ZGeolocation Apps using A* Algorithm for Android Based Traders2528-40612528-405310.25299/itjrd.2021.vol6(1).5398https://doaj.org/article/b3a0aedf18014c9980be523f7c7144b62021-03-01T00:00:00Zhttps://journal.uir.ac.id/index.php/ITJRD/article/view/5398https://doaj.org/toc/2528-4061https://doaj.org/toc/2528-4053The development of technology has a positive effect on the trade sector, creating smartphones that can be utilized in all activities combined with the internet network. Activity that is currently growing is a mobile trader in the city of Pekanbaru. This development caused much competition, for example, in the Pekanbaru city area, especially in Sialangmunggu village. Traders around is difficult to find consumers because consumers do not have precise location and time information. Therefore, researchers aim to design and build applications by utilizing the functions of google maps and GPS (Global Positioning System) where the Algorithm to be applied is the A* algorithm whose function is to find the nearest location between buyers to mobile merchants, to accommodate data from mobile merchants where buyers can know the nearest position of the traveling merchant. Process analysis will be divided into running analysis that discusses the workings of the process of mobile traders and buyers in the field. Then the proposed system analysis of the analysis will be made by the author to maximize the process on the current analysis. By making analysis and design, the author will know the needs needed in the creation of the system. The result of using method A* is applied to displaying the merchant's route with the user, and the result can provide the fastest route to get to the trader. The use of method A* is also done to find the trader whose location is closest to the user's location, and the result can display the nearest trader.Istithoatun KholishohMardainis MardainisSusandri SusandriKhusaeri AndesaUIR Pressarticleandroida star algorithmgeolocationtraveling merchantsComputer softwareQA76.75-76.765Information technologyT58.5-58.64Computer engineering. Computer hardwareTK7885-7895ENIT Journal Research and Development, Vol 6, Iss 1, Pp 17-29 (2021) |
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android a star algorithm geolocation traveling merchants Computer software QA76.75-76.765 Information technology T58.5-58.64 Computer engineering. Computer hardware TK7885-7895 |
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android a star algorithm geolocation traveling merchants Computer software QA76.75-76.765 Information technology T58.5-58.64 Computer engineering. Computer hardware TK7885-7895 Istithoatun Kholishoh Mardainis Mardainis Susandri Susandri Khusaeri Andesa Geolocation Apps using A* Algorithm for Android Based Traders |
description |
The development of technology has a positive effect on the trade sector, creating smartphones that can be utilized in all activities combined with the internet network. Activity that is currently growing is a mobile trader in the city of Pekanbaru. This development caused much competition, for example, in the Pekanbaru city area, especially in Sialangmunggu village. Traders around is difficult to find consumers because consumers do not have precise location and time information. Therefore, researchers aim to design and build applications by utilizing the functions of google maps and GPS (Global Positioning System) where the Algorithm to be applied is the A* algorithm whose function is to find the nearest location between buyers to mobile merchants, to accommodate data from mobile merchants where buyers can know the nearest position of the traveling merchant. Process analysis will be divided into running analysis that discusses the workings of the process of mobile traders and buyers in the field. Then the proposed system analysis of the analysis will be made by the author to maximize the process on the current analysis. By making analysis and design, the author will know the needs needed in the creation of the system. The result of using method A* is applied to displaying the merchant's route with the user, and the result can provide the fastest route to get to the trader. The use of method A* is also done to find the trader whose location is closest to the user's location, and the result can display the nearest trader. |
format |
article |
author |
Istithoatun Kholishoh Mardainis Mardainis Susandri Susandri Khusaeri Andesa |
author_facet |
Istithoatun Kholishoh Mardainis Mardainis Susandri Susandri Khusaeri Andesa |
author_sort |
Istithoatun Kholishoh |
title |
Geolocation Apps using A* Algorithm for Android Based Traders |
title_short |
Geolocation Apps using A* Algorithm for Android Based Traders |
title_full |
Geolocation Apps using A* Algorithm for Android Based Traders |
title_fullStr |
Geolocation Apps using A* Algorithm for Android Based Traders |
title_full_unstemmed |
Geolocation Apps using A* Algorithm for Android Based Traders |
title_sort |
geolocation apps using a* algorithm for android based traders |
publisher |
UIR Press |
publishDate |
2021 |
url |
https://doaj.org/article/b3a0aedf18014c9980be523f7c7144b6 |
work_keys_str_mv |
AT istithoatunkholishoh geolocationappsusingaalgorithmforandroidbasedtraders AT mardainismardainis geolocationappsusingaalgorithmforandroidbasedtraders AT susandrisusandri geolocationappsusingaalgorithmforandroidbasedtraders AT khusaeriandesa geolocationappsusingaalgorithmforandroidbasedtraders |
_version_ |
1718444923063107584 |