Risk and uncertainty are factors that construction project managers have been increasingly had to deal with. Project completion time is one of the areas where the expected time is often underestimated or shorter than the actual completion time. Monte Carlo simulation is a widely used simulation technique in modeling a process that is difficult to predict due to its random variables. This study provides a practical way to use Monte Carlo simulation to simulate a project using functions available in a spreadsheet application. A project with five activities was simulated 2000 times using minimum, maximum, and expected duration. The mean, mode, and median simulation results were then plugged into their respective precedence diagram networks to compare them. The precedence diagram computations found that mean, mode, and median project completion times were longer than the initially expected completion time. The mean, mode, and median were 50, 53, and 48 days, respectively, which were 8, 11, and 6 days longer, respectively, than the 42 days initially expected. The study showed that the Monte Carlo simulation could assist the project manager in planning a project schedule that deals with risk and uncertainty more realistically.

After a large-scale natural disaster struck an urban area a large number of residential buildings construction is often needed. Such residential buildings are often built with more or less similar size and model therefore the construction is repetitive. The project management approach is normally employed in managing a large-scale residential building project. This study argues that due to its repetitive nature the construction of a large number of similar houses can also be viewed as a production system in addition to a project view. This study investigates the utilization of the production planning approach with the aid of a discrete event simulation method in managing the construction of a large number of residential buildings. This study simulates the construction of 500 similar houses. The study results show that the production management approach has the potential in managing a large-scale residential building project in addition to the project management approach.

The possibility occurrence of occupational health and safety risk in construction work is large because each work environment has many sources of danger but can be done prevention and handling to reduce the risk of occurrence of a work accident that’s why we need the process of identification and assessment of occupational health and safety risks. This type of research is descriptive analysis, the research approach is observational to use a sheet of JHA (Job Hazard Analysis) for hazard identification and risk assessment with a semi-quantitative analysis using the standard risk assessment AS/NZS 4360:2004. The results of the hazard identification beyond the occupational health and safety are carried out in the road construction in the Sigi Regency produce 147 of the danger that comes from the unsafe action and unsafe conditions and the results of assessing the risks over 147 hazards identified there are 5 different levels of risk ranging from the risk level the most, namely level priority 3 as much as 46%, very high as much as 22%, for priority 1 as much as 14%, substantial as much as 11%, and acceptable as much as 7%.

Clean water services are a vital need that must be provided to support the dynamics of regional growth. Infrastructure development, such as the provision of drinking water, is considered as one of the policy instruments for economic development, marked by the development of industries, settlements, regional expansion and the increasing need for drinking water. The checklist technique was used by researchers to obtain information from respondents about the application or implementation of risk management. The objective of this research is to identify risk management in the development of the Pasigala Regional Drinking Water Supply System (SPAM), Central Sulawesi Province. This type of research is a case study. This checklist consists of three parts, each of which is used to obtain data on risk identification, risk analysis, and risk treatment. From the analysis, 6 risks fall into the high category, these risks are that the quality of drinking water is not as expected, the Water Treatment Plant (WTP) has never functioned according to the planned capacity, the raw water transmission pipe is not in accordance with the minimum standard / technical specifications, the design raw water production units that have not been able to overcome turbidity due to sedimentation, natural disasters in the location area, and damage to the ecosystem around water sources.