This research was intended to identify the risk factor that had major impact on roads improvement projects which funds are sourced from Special Allocation Funds (DAK) in Tasik Payawan district which located on disaster high risk areas and to know recommendations of any risk mitigation that should be taken to mitigate the risk effects that are occurring. This research uses the Godfrey risk analysis method. In the early stages of this study, studies were carried out by early literature and data gathering that relate to objects research, then identified risk factors and risk variables that are adjusted to the research object. Risklevels of impact and risk response levels are conducted as a basis in the creation of a risk management model that will be intended to mitigate the risks that will impact the implementation of the project. Basedon the research results, there are 35 identified risks that affect the project, 11 risks (31.43%) originating from planning factors, 9 risks (25.71%) originating from tools and materials factors, 5 risks (14.29%) which are sourced from policy factors and 10 risks (28.57%) sourced from implementation factors. The distribution of risk acceptance that has an impact on costs is 5risks (14%) classified as unacceptable, 25 risks (72%) classified as undesirable, 5 risks (14%) classified as acceptable. The distribution of riskacceptance that has an impact on time is 8 risks (23%) classified as unacceptable, 26 risks (74%) classified as undesirable, 1 risk (3%) classified as acceptable. Risk mitigation targets are carried out for dominant risks, namely risks with the categories of unacceptable risk and undesirable risk. The recommendation for mitigation risk is done by making SOP (standard operating procedure) handling of construction work set by the head of the region and bureaucracy that gives the ease to the C mining clearance.

Keywords : Project, Risk, Disaster, Risk response, Risk mitigation.