Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm
Selecting a good location is an essential task in many location-based applications. Intuitively, a place is better than another if there are many good facilities around it. The most popular location selection platform today is Google Maps. Unfortunately, Google Maps has not provided the location sel...
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| Format: | UMS Journal (OJS) |
| Language: | eng |
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Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia
2021
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| Online Access: | https://journals.ums.ac.id/index.php/khif/article/view/12939 |
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| author | Annisa, Annisa Khairina, Salsa |
| author_facet | Annisa, Annisa Khairina, Salsa |
| author_sort | Annisa, Annisa |
| collection | OJS |
| description | Selecting a good location is an essential task in many location-based applications. Intuitively, a place is better than another if there are many good facilities around it. The most popular location selection platform today is Google Maps. Unfortunately, Google Maps has not provided the location selection based on the number of surrounding facilities. Assume a situation when a college student wants to let a house near his campus. Besides the distance from the campus, the student certainly will consider amenities surrounding it, such as food courts, supermarkets, health clinics, and places of worship. The rent house will become a better choice if there are more of these facilities around. Skyline query is a well-known method to select interesting desirable objects. We applied the Sort Filter Skyline (SFS) Algorithm on Google Maps to get a small number of attractive locations based on the number of nearby facilities. This study has succeeded in developing a web-based application that facilitates Google Maps users to search for places based on the figure of surrounding facilities. The time required to do a location search using SFS in Google Maps will increase with the number of surrounding facility types considered by the user. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-12939 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2021 |
| publisher | Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-12939 Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm Annisa, Annisa Khairina, Salsa location selection; skyline query; sort filter skyline; surrounding facilities Selecting a good location is an essential task in many location-based applications. Intuitively, a place is better than another if there are many good facilities around it. The most popular location selection platform today is Google Maps. Unfortunately, Google Maps has not provided the location selection based on the number of surrounding facilities. Assume a situation when a college student wants to let a house near his campus. Besides the distance from the campus, the student certainly will consider amenities surrounding it, such as food courts, supermarkets, health clinics, and places of worship. The rent house will become a better choice if there are more of these facilities around. Skyline query is a well-known method to select interesting desirable objects. We applied the Sort Filter Skyline (SFS) Algorithm on Google Maps to get a small number of attractive locations based on the number of nearby facilities. This study has succeeded in developing a web-based application that facilitates Google Maps users to search for places based on the figure of surrounding facilities. The time required to do a location search using SFS in Google Maps will increase with the number of surrounding facility types considered by the user. Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia 2021-07-29 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/khif/article/view/12939 10.23917/khif.v7i2.12939 Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika; Vol. 7 No. 2 October 2021; 65-72 Khazanah Informatika; Vol. 7 No. 2 October 2021; 65-72 2477-698X 2621-038X eng https://journals.ums.ac.id/index.php/khif/article/view/12939/6850 Copyright (c) 2021 Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika http://creativecommons.org/licenses/by/4.0 |
| spellingShingle | location selection; skyline query; sort filter skyline; surrounding facilities Annisa, Annisa Khairina, Salsa Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm |
| title | Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm |
| title_full | Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm |
| title_fullStr | Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm |
| title_full_unstemmed | Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm |
| title_short | Location Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm |
| title_sort | location selection based on surrounding facilities in google maps using sort filter skyline algorithm |
| topic | location selection; skyline query; sort filter skyline; surrounding facilities |
| topic_facet | location selection; skyline query; sort filter skyline; surrounding facilities |
| url | https://journals.ums.ac.id/index.php/khif/article/view/12939 |
| work_keys_str_mv | AT annisaannisa locationselectionbasedonsurroundingfacilitiesingooglemapsusingsortfilterskylinealgorithm AT khairinasalsa locationselectionbasedonsurroundingfacilitiesingooglemapsusingsortfilterskylinealgorithm |