Open AccessLocation Selection Based on Surrounding Facilities in Google Maps using Sort Filter Skyline Algorithm
Author(s) -
Annisa Annisa,
Salsa Khairina
Publication year - 2021
Publication title -
khazanah informatika
Language(s) - English
Resource type - Journals
eISSN - 2621-038X
pISSN - 2477-698X
DOI - 10.23917/khif.v7i2.12939
Subject(s) - skyline , sort , computer science , selection (genetic algorithm) , task (project management) , filter (signal processing) , data mining , information retrieval , world wide web , artificial intelligence , computer vision , engineering , systems engineering
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.