Enhanced of Attendance Records Technology used Geospatial Retrieval based on Crossing Number

Dublin Core

Title

Enhanced of Attendance Records Technology used Geospatial Retrieval based on Crossing Number

Subject

attendance system
crossing number
geospatial retrieval
mobile finger-print
PNPOLY

Description

Nowadays, the fingerprint scanner widely used to records attendance. However, this technology has a weakness. Much research has done to improve the attendance system by utilizing mobile technology, like usage a fingerprint smartphone and location by GPS sensor to validate user location manually. In this research, we developed an application to enhance the records attendance system with a smartphone by crossing numbers to verify user position automatically, which implemented in a mobile app.  This application using the PNPOLY method for detecting the location of the user inside of the polygon area predetermined. This method is part of the crossing number algorithm for increasing x and fixed y from point P, which x is latitude, and y is a longitude. The result of the experiment demonstrated that the percentage of successful validate user coordinate inside edges of the polygon boundary is 87%, depending on the GPS sensor embedded into a mobile device.

Creator

Utomo, Bayu
Wibowo, Achmad Teguh
Ridwan, Mujib
Izzuddin, Muhammad Andik
Gumelar, Agustinus Bimo
Arifin, Sirajul

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 14 No. 16 (2020); pp. 101-116
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2020-09-22

Rights

Copyright (c) 2020 Bayu Utomo, Achmad Teguh Wibowo, Mujib Ridwan

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Bayu Utomo et al., Enhanced of Attendance Records Technology used Geospatial Retrieval based on Crossing Number, International Association of Online Engineering (IAOE), Vienna, Austria, 2020, accessed November 23, 2024, https://igi.indrastra.com/items/show/1697

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