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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Autores principales: Istithoatun Kholishoh, Mardainis Mardainis, Susandri Susandri, Khusaeri Andesa
Formato: article
Lenguaje:EN
Publicado: UIR Press 2021
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Acceso en línea:https://doaj.org/article/b3a0aedf18014c9980be523f7c7144b6
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic 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
spellingShingle 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
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