Research Article
Parking Application Using Dual-Layered Geofencing (Circle and Polygon) and Activity Recognition (Case Study: UIN Syarif Hidayatullah Jakarta)
@INPROCEEDINGS{10.4108/eai.2-10-2018.2295499, author={Muhammad Alvin Syahrin and Arini Arini and Husni Teja Sukmana and Anggraeni Endah Kusumaningrum and Hervina Puspitosari}, title={Parking Application Using Dual-Layered Geofencing (Circle and Polygon) and Activity Recognition (Case Study: UIN Syarif Hidayatullah Jakarta)}, proceedings={Proceedings of the 2nd International Conference on Quran and Hadith Studies Information Technology and Media in Conjunction with the 1st International Conference on Islam, Science and Technology, ICONQUHAS \& ICONIST, Bandung, October 2-4, 2018, Indonesia}, publisher={EAI}, proceedings_a={ICONQUHAS}, year={2020}, month={5}, keywords={parking geofencing activity recognition android}, doi={10.4108/eai.2-10-2018.2295499} }- Muhammad Alvin Syahrin
Arini Arini
Husni Teja Sukmana
Anggraeni Endah Kusumaningrum
Hervina Puspitosari
Year: 2020
Parking Application Using Dual-Layered Geofencing (Circle and Polygon) and Activity Recognition (Case Study: UIN Syarif Hidayatullah Jakarta)
ICONQUHAS
EAI
DOI: 10.4108/eai.2-10-2018.2295499
Abstract
The information of available parking lot in UIN Syarif Hidayatullah is not provided. It becomes a problem because when the rider wants to park his vehicle but does not know which parking area is still available then the driver will waste his time by searching for available parking even though not necessarily he will find it. The purpose of this research is to develop the application that can solves the problem so that students or other campus residents can easily find available parking. The application design uses dual-layered geofencing and activity recognition to identify the user's parking activities without the use of sensors in every parking area. The results of this study is an application parking management android-based with a server that uses PHP programming language and MySQL database. Detected parking success was 70% with the average distance required for detection was 8,71 meters.
