Enhanced of Attendance Records Technology used Geospatial Retrieval based on Crossing Number
Bayu Utomo, Achmad Wibowo, Mujib Ridwan, Muhammad Izzuddin, Faculty of Science and Technology, UIN Sunan Ampel ; Agustinus Gumelar, Faculty of Computer Science, Universitas Narotama ; Sirajul Arifin, Faculty of Islamic Economics and Business, UIN Sunan Ampel
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.
Utomo, B., Wibowo, A., Ridwan, M., Izzuddin, M., Gumelar, A. & Arifin, S. (2020). Enhanced of Attendance Records Technology used Geospatial Retrieval based on Crossing Number. International Association of Online Engineering.