Predicting the Spatial Wi-Fi coverages on Campus with GIS

N Nayan$^1a)$

1Department of Geography & Environment, Faculty of Human Sciences, Universiti Pendidikan Sultan Idris, 35900 Tanjong Malim, Perak, Malaysia.

a)Corresponding author: [email protected],edu.my

Information communication technology (ICT) facilities such as Wi-Fi have become the main medium for students on university campuses. Today, ICT facilities are essential for obtaining information, making assignments, and communicating. This study aims to identify the strength of Wi-Fi, evaluate the level of Wi-Fi, and classify the strength by room at the Sultan Abdul Jalil Shah Campus (KSAJS), UPSI. A total of 166 stations were used to obtain Wi-Fi strength values with the help of an application from a smartphone known as Wi-Fi Analyzer and the Map Coordinates application to obtain station coordinates. Wi-Fi strength data and coordinates were entered in Microsoft Excel and imported into ArcGIS 10.7 software. The analysis used is a descriptive analysis and spatial regression, which is interpolation using the IDW interpolation technique is used to divide high, medium, and weak coverage areas. The study results show that the wireless network (Wi-Fi) at the Sultan Abdul Jalil Shah Campus is at a moderate level (-60 dBm to -84 dBm) only. More than 85 percent of the areas are still at a medium level, with less than 5 percent getting the highest level, and the rest are areas that get low coverage. In conclusion, the Wi-Fi coverage on the campus still does not reach the highest level in providing the best service to students. The implications of this study allow the university management to identify areas with low coverage through the ICT Center and make appropriate investments in upgrading this Wi-Fi coverage.