Contextual Use of IoT Based Water Quality Control System

Part 3: IS Use and Impact in Context International audience ‘Solutions’ are often deployed as interventions without lasting benefit to communities and stakeholders. In the case of water, a basic need and necessity for living and a part of goal 6 of the sustainable development goal, poor water monitoring systems have been one of the reasons for water wastage around communities. The inadequate control of water in and out of the storage has been a part of the cause of water wastage. In Anchor University Lagos, there has been a constant wastage of water. The extents of water in the tanks are likewise not ascertained for proactive measures for enough provision. This is besides the fact that the quality status of the water cannot be asserted before consumption by students. The above-identified issues have therefore become the motivation for this research project. In this paper, considering the ineffectiveness of the current quality control system in Anchor University Lagos, an IoT-based water quantity control- and quality assurance system was implemented following a build, process, and experimental methodology. The system alerts on the possibility of water shortage and the safety of water for consumption. Different sensory modules were connected to raspberry pi 3 devices, a micro-controller, to enable the IoT-based system to function properly. Informed by UTAUT, data was retrieved and analyzed from the sensors through the micro-controller and displayed onto an android based application for end-users. A users’ acceptance survey was carried out, influenced by UTAUT, to ascertain the performance and effort expectancy analysis of the system alongside the contextual social influence and the facilitating conditions. We observed a favourable disposition of end-users in welcoming and engaging. More significantly, the belief the users have to expectancy regarding leveraging the system for water quantity and the degree of impact that influencer will have. Further contextual studies shall incorporate the daily consumption rate of water volume to capacity management.