Smart queueing for outpatient in a private hospital using location-based service

• Main Authors: Sukmanisa, Sayyidah Sarah, Renaldi, Faiza, Santikarama, Irma
• Format: Conference Proceeding
• Language: English
• Subjects: Global positioning systems; GPS; Location based services; Messages; Queueing; Search engines; Service areas; Smartphones
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0132954

The use of Location Based Service (LBS) technology has been so widespread, especially in obtaining a location. Global Positioning System (GPS), which can be used to provide users with the latest geolocation information, and connectivity with 3G networks. Meanwhile Location Based Service (LBS) is a service that supports GPS function. The Google Maps API is a product from Google that offers the ability to provide maps that are quite complete and integrated with the Haversine formula to get coordinates obtained automatically from Google Maps. The Haversine formula is a method for determining the distance between two points by observing that the earth has a degree of curvature directly from the Google Maps API, which can be determined quickly. The combination of position and distance will be a useful application in meeting the needs of location information, especially for those who do activities and spend time outdoors. One of them is at Azra Hospital. Waiting time for outpatients at Azra Hospital is an obstacle. Typically, patient waiting time is defined as the length of time it takes a patient from registering to being served by a doctor. Therefore, a location search that utilizes location-based services from google maps, and to find the distance from the coordinates at each location that has been obtained using haversine. If the user passes the specified Location-Based Service area, a notification in the form of a message or an alarm will appear via his smartphone device. Patient waiting time is defined as the length of time it takes a patient from registering to being served by a doctor. Therefore, a location search that utilizes location-based services from google maps, and to find the distance from the coordinates at each location that has been obtained using haversine. If the user passes through the specified Location-Based Service area, a notification in the form of a message or alarm will appear via his smartphone device. For exampleby testing the Jackson Network Queue with FCFS (First Come First Serve) rules to determine the estimated waiting time, before the consultation time, you will get a reminder with less than 10 minutes from the consultation time so that it is more precise with the maximum service time standard without adding facilities or other supporting components significantly by taking into account the opportunities that occur based on service time and arrival time. Therefore, a location search that utilizes location-based services from g