Authors :
Hesron; Irfan Prasetia
Volume/Issue :
Volume 8 - 2023, Issue 4 - April
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/42ux8nl
DOI :
https://doi.org/10.5281/zenodo.7898042
Abstract :
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.
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.
