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Due to its rich and diverse biodiversity of flora and fauna, Tasik Chini, a UNESCO Bisosphere Reserve, is a national heritage that must be preserved and protected. Ensuring healthy water quality here is vital for the survival of the ecosystem. Water quality was constantly being monitored through the use of a network of sensors and telemetry system that collect parameters to determine Water Quality Index since 2004. However, two events have rendered the setup to be inadequate: the economic activities around the lake and the big flood of 2014. Both events has proven that the IoT infrastructure at Tasik Chini is inadequate to mitigate major disaster. The risk of both natural and man-made disasters happening always increased yearly and has a huge impact on water quality monitoring as well as the dissemination and sharing of data and results. A proper management plan to mitigate these risks is needed. The purpose of this paper is to highlight a successful research methodology that has been proposed and done in monitoring and improving Tasik Chini water quality. First, needs analysis were carried out through face-to-face interaction with researchers and the indigenous community living within the vicinity of the lake. Historical water quality data were also compiled and analyzed to validate the degradation of water quality over the years. Second, a proper risk registers and risk respond plan was developed. The current telemetry and network of sensors were reengineered by introducing new online tools for sharing and disseminating of water quality data to more diverse stakeholders. Cloud and 4G services are now the integral part of monitoring. Third, an early warning system has been developed to complete the setup.

IT Risk Management is the application of risk management methods to information technology in order to manage IT risk. The business risk associated with the use, ownership, operation, involvement, influence and adoption of IT within an enterprise or organization. The purpose of this paper is to overcome the issue in implementing the IT Risk Management at Tasik Chini Research Centre (PPTC), Universiti Kebangsaan Malaysia. This paper aimed to enhance the risk management awareness by promoting active involvement of the workers in the daily affairs and the decision-making process. This paper used both quantitative and qualitative methods. Data was collected by interviewing the community living at the edge of the lake as well as collecting on-site at the rivers's monitoring station. The negative feedback include no framework of IT risk management at PPTC, lack of understanding in IT risk management concept among the PPTC staffs, and the need to promote a few aspects of the risk management policy, for instance, by introducing the development of risk management system or a customized model to register risk and data collection. The positive side was not limited to IT solely. They include the interest shown by PPTC top managements in implementing the full IT risk management in order to achieve the objectives of research centre. The results were also used in the development of the early warning system in water quality prototype as an early warning to the PPTC staffs and Orang Asli living in the vicinity of Tasik Chini. The study began by identifying the problems faced by the PPTC staffs to the usability of the risk management system that are available from the interviews. Usability characteristics of risk management system and early warning system that are suitable to the PPTC staffs and Orang Asli are identified and a guideline for the users interface usability of information systems is constructed.