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Abstrak :
Jakarta International Container Terminal (JICT), which is the main international port of Indonesia, is overcrowded and is going to be expanded. Various expansion plans are considered, so the aim of the current paper is to simulate the plans using an agent-based modeling approach. The plans are treated as scenarios in the agent-based simulation model. Then, the throughputs from all scenarios are compared. The comparison shows that some of the plans can support the JICT vision. The results can be used as an input for the decision maker to either choose one of the plans or renegotiate the plans to achieve results that greatly support the JICT vision.

Abstrak :
Inter-island freight transport costs in eastern compared to western Indonesia are relatively high, caused by operator charges for roundtrip fees. In order to make the distribution of freight efficient, the network of freight transport needs to be rationalized on a regional basis. The output from the regional model counts are few and far between in relation to intercity traffic volume data, and the disaggregate model at a regional level requires more effort in conducting travel route surveys. Therefore, aggregated analysis is preferable initially, based on the traffic volume and the commodity flow for inter-island freight transport. The accessibility and connectivity of the land use can be obtained from the freight distribution model as a measurement to evaluate different land use scenarios and also to provide feedback for land use modeling, as a parameter for freight location choice. With a freight distribution model to identify freight commodity supply and demand in a particular region, potential freight transport generation uses such variables, which consider generalized transport costs. Using the Furness and Maximum Entropy models, the results indicate that Furness model finishes in the 4th iteration and Maximum Entropy in 6th, while the negative exponential function offers the best calibrated estimation, using sea freight movement data. It was also found that the positive value of ? means that any increment of travel time decreased the rate of freight flow, which mirrored the conditions in reality: the higher travel costs, the fewer the number of flows between zones. The data is analyzed in the context of modeling intra-city freight flow in the archipelagic region of northern Maluku.

Abstrak :
The objective of this study was to compare the impacts of financing investment scenarios on piped-natural GPs for households in Indonesia using government, business entity, and mixed investment scenarios. Simulations of cash flow were used for a case study of domestic GPs in City X in Indonesia, which originally used only one investment scheme. The GPs is calculated using the cash flow (CF) method. With the cash flow, GPs is calculated based on the sum of investment costs (Capital Expenditure), operating and maintenance costs (O & M), gas purchase costs, administrative costs (A), tax (t), and margin (m) divided by gas volume. A sensitivity test was performed using the models to observe the effects of changes to each component of each variable regarding price calculations for natural gas. The government divided the type of household into two, one class consisting of simple house and small house and the second group consists of luxury homes, apartments, and condominiums. For 100% government investment scenarios, prices were formulated using management fee systems. For 100% business entity investment scenarios, prices were formulated with a method in which an internal rate of return (IRR) equaled a weighted average cost of capital (WACC). For mixed government and business entity investment scenarios, prices were derived by modifying 100% government investment scenarios calculations. A study of setting piped-natural GPs for households that are equiTable, fair, transparent, and able to meet citizens’ purchasing powers was then conducted. Using the calculations and simulations, it was concluded that the government investment scenarios provided the lowest GPs but burdened the state budget. The business investment scenarios provided high GPs and benefitted the firm but not the community. The mixed investment scenario with 50:50 government and business entity investment compotition was recommended for setting GPs; they increased investments and public welfare, could be just and fair, and could meet citizens’ purchasing powers.