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 7, 2024, https://igi.indrastra.com/items/show/1697