Perpustakaan Digital ITB

The application of Performance Based Contracts (PBC) for national road improvement and maintenance projects in Indonesia is considered not able to overcome the existing problems. One of the problems that is constraining the implementation of the PBC is related to risk allocation. The characteristics of the PBC that allocate more risk to the contractor are not accompanied by the ability to manage it, still facing various obstacles. Risks should be borne by those who are able to manage them with the lowest risk costs. The need for a contract model based anon optimal risk allocation is important. This study developed optimal risk allocation model for Indonesia’s PBC. The quantitative approach includes a simulation process that is with Monte Carlo Simulation to determine risk cost variables and risk allocation algorithms proposed by Martin Barnes to determine risk allocation. In this study, optimal risk allocation is defined as the decision to allocate risk events to those who are able to manage them so as to minimize the negative impact on project performance indicators explicitly and measurably, namely the project costs. Direct costs are elements of costs that are directly related to the volume of work listed in the payment item or become a permanent component of the final results of the project. The component of direct costs consists of the cost of wages for workers, operation of equipment, materials. Included in the direct cost category are all costs that are under subcontractor control. Indirect costs are elements of costs that are not directly related to the amount of the volume of the physical component of the final project, but have a contribution to the completion of the activity or project. The contribution of this research is the production of a performance-based contract model based on optimal risk allocation from the perception of the owner and contractor. The final result in the form of the development of contract classes based on this risk allocation can be used as a tool to determine which parties are able to manage risk with lower risk costs. The dominant risk analysis which is then linked to the risk variable through modeling with the principle of risk allocation developed by Martin Barnes is able to produce an optimal risk allocation. Risk factors that have a significant impact on costs are the risk of overloading vehicles and natural disasters. Vehicle risk that is overloaded with high probability and impact on high costs contribute to early damage to road conditions. The innovation of the contractor was not able to handle it. The solution to this problem is to allocate risk to the Owner. The owner is a party who is able to handle the risk of overloading vehicles with the involvement of related agencies (Transportation and Police Service).