Mobile Technologies of Formulation Haversine Application and Location Based Service

Hartanto, Anggit Dwi; Susanto, Moh. Rusnoto; Ilham, I; Dardjito, Hanandyo; Retnaningsih, Rahayu; Nurdiyanto, Heri

doi:10.4108/eai.23-4-2018.2277593

Cited by 4 publications

(7 citation statements)

References 7 publications

(7 reference statements)

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“…This may seem straightforward, but calculating the distance between two geographical points located on the earth's sphere (longitude and latitude) and not on a plane (Cartesian coordinates) is not so simple. One of the approximations most used in practical applications [9][10][11][12][13][14][15][16] to calculate the distance between two geographical points is the Haversine distance [17], which is given by:…”

Section: Methodsmentioning

confidence: 99%

Fire Risk Sub-Module Assessment under Solvency II. Calculating the Highest Risk Exposure

2021

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The European Directive 2009/138 of Solvency II requires adopting a new approach based on risk, applying a standard formula as a market proxy in which the risk profile of insurers is fundamental. This study focuses on the fire risk sub-module, framed within the man-made catastrophe risk module, for which the regulations require the calculation of the highest concentration of risks that make up the portfolio of an insurance company within a radius of 200 m. However, the regulations do not indicate a specific methodology. This study proposes a procedure consisting of calculating the cluster with the highest risk and identifying this on a map. The results can be applied immediately by any insurance company, covered under the Solvency II regulations, to determine their maximum exposure to the catastrophic man-made risk of fire, instantly providing them with the necessary input for calibration of the solvency capital requirement.

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Section: Methodsmentioning

confidence: 99%

Fire Risk Sub-Module Assessment under Solvency II. Calculating the Highest Risk Exposure

2021

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“…Initialize the variables related to the module: This initial step is the process of initializing any variables that will be needed by the module to function as intended. This module has a dependency on the Flutter library (Hartanto et al, 2018;Jackson and Jackson, 2017). We can see the module function in Fig.…”

Section: Fig 2: Flowchart Diagram For the Modulementioning

confidence: 99%

“…Mathematical concepts are needed to process geolocation data such as calculating distances between coordinates. There are several ways to calculate the distance between two coordinates, in which the author will take a method, namely the Vincenty Inverse, and will compare it with the numbers generated by the Haversine method, which is used by Google Maps (Great Circle Distance) (Hartanto et al, 2018;Setyorini et al, 2019). To process geolocation data, of course, a specially assigned module is needed.…”

Section: Introductionmentioning

confidence: 99%

Geolocation System Module Creation to Validate User Location Coordinates in an Android Application Using Flutter Framework

Japara,

Arifin,

Irwansyah

2023

Journal of Computer Science

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The target audience for this scientific paper's writing is anyone who is interested in the statistical information that will be used to create a method for determining the separation between two coordinate points. Given that as technology advances, a growing number of applications will make use of geolocation data for economic purposes, such as processing location data to maximize product sales. The development of satellite constellations, coordinate arrangements and even more sophisticated tasks like the construction of a space station require a high degree of accuracy. These are not just economic problems. However, no one is certain at this time of the precise calculation of the separation between the two coordinate points. The Haversine method and the Vincenty method are two of the several techniques used today to calculate coordinates. Each approach yields, naturally, different outcomes due to its basic differences. The variation in the results is anticipated to serve as a database for future study into the creation of new techniques to measure the distance between two coordinates at the point of the earth and to determine the size of the earth with a more precise value. However, if the application needs to calculate longer distances with higher accuracy, the Vincenty method may be more appropriate.

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“…In a very closely related work, a haversine model was developed to discover the location of laundry kiosk(s). These kiosks are domestic service providers [11]. Similarly, Nurizal et al [12] designed a haversine based model that finds the best route for urban transportation.…”

Section: Location Aware System Wireless Application Protocol and Serv...mentioning

confidence: 99%

“…Similarly, Nurizal et al [12] designed a haversine based model that finds the best route for urban transportation. In [11] and [12], the haversine technique was implemented such that using them to find the distance between a user and the nearest place when the need arises was not possible. However, in this paper, the focus is on determining the nearest distance between users of the L-aS and a pharmaceutical store where prescribed drug(s) can be purchased.…”

Section: Location Aware System Wireless Application Protocol and Serv...mentioning

confidence: 99%

A Mobile Based Pharmacy Store Location-aware System

Akhigbe

Ososanya

Olajubu

2022

JIOS

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This paper presents a formulated mobile-based location-awareness model that was implemented into a Location-awareness System (L-aS hereafter) for finding the pharmacy location where prescribed drugs and their prices are available for sale. The scenario that inspired the model formulation was formalized using the unified modeling language. The model was implemented within the android studio integrated development environment with the L-aS database created through SQL lite database. The system was tested using user experience based testing technique. Based on core system performance testing, the system demonstrated a normal response time, resource utilization (i.e. storage and memory usage), and data use potentials of 414.6ms, 4.964mb and 1.9116 kb/secs, and 3.0296mb respectively. Therefore, the system performed well under ordinary conditions as an android application running on small memory devices. The study concluded that the developed mobile based pharmacy store location-aware system was useful to provide information to purchase prescribed drugs especially in perplexed situation(s).

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Mobile Technologies of Formulation Haversine Application and Location Based Service

Cited by 4 publications

References 7 publications

Fire Risk Sub-Module Assessment under Solvency II. Calculating the Highest Risk Exposure

Fire Risk Sub-Module Assessment under Solvency II. Calculating the Highest Risk Exposure

Geolocation System Module Creation to Validate User Location Coordinates in an Android Application Using Flutter Framework

A Mobile Based Pharmacy Store Location-aware System

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