One way to minimize national logistics costs is to develop multimodal transportation. The steps for multimodal development are forming a linear model for each transportation mode, the simultaneous formation of a linear model, and forecasting and simulation of the minimum transportation costs. Area partition based on distance can be used as a solution for selecting transportation modes in multimodal with a certain distance. It can be useful in reducing transportation costs that only rely on unimodal, namely trucks. The estimation of reducing logistics costs is by forecasting goods that will pass through transportation modes in 2025 and making the simulation. Train or truck is used for short distances such as moving goods from factories or warehouses to transhipment points and from transhipment points to consumers or retailers. Trains, freighters and planes are used as the main routes as needed. The simulation results show that national logistics costs reduce by 17% when using the lowest-cost transportation mode in the area division.
Every institution has business models, but some are not properly realized to benefit and meet the public needs. The aim of the study was to improve the government's existing business models in space technology to meet the public needs. Related studies regarding the issues were reviewed, and personal observation was conducted at the government space institution in Indonesia. The study found that to attain the public needs, the development of the business model in space technology should consider four aspects, research and development expenditures, wellbeing, sustainable cities and communities, and adoption of emerging technologies. Incorporating the four aspects into the existing business model is expected to bring the research and development closer to what the public wants.
Developed countries adopted a Zero Lower Bound (ZLB) policy as an option to accelerate economic recovery. In this study, the authors aim to systematize and assess existing data to build simulations of ZLB implementation in Indonesia. The data use 12 indicators from 2017-2021. Data are analyzed using Autoregressive Distributed Lag Model (ARDL). The results of data processing show that there are an upward trend in 2022, especially for the inflation rate, consumer price index, capacity utilization, residential property price index, broad money, and production index. Other indicators such as lending facilities, investment realization and savings facilities tend to be flat. Meanwhile, other indicators such as unemployment, average wages, and the exchange rate show downward trend. This research also provides updates on the possibility of implementing ZLB policy recommendations in Indonesia and can be used as exit policies for the scarring effect of the pandemic on the Indonesia's national economy.
Building a sustainable economy for rural areas must be based on good public literacy of the surrounding natural conditions. Therefore, it needs to formulate recommendations for lending decisions so that the economic resilience of rural communities remains good when natural disasters occur due to climate change. This study uses descriptive analysis, a decision tree model, and interviews as a basis for analyzing to get the right decisions for financial service providers in providing credit loans to certain economic sectors in West Java rural communities. The novelty of this research is able to explain the disaster risk index in the village which can be taken into consideration in the process of making credit decisions by financial service providers. Therefore, the value of credit restructuring due to natural disasters can be minimized and not become a loss so that it does not become an obstacle to the economic resilience of rural communities.
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