Coffee farmers as Green MSMEs can apply SDG-based global value chains (GVC) in order to open up a wider share of the export market. During the 2009-2018 period, there was a significant decline in the share of Indonesia's coffee exports, but on the other hand, the impact on the formation of the GDP of plantation crops seemed insignificant. The study attempts to map this problem by analyzing the relationship between the variables that play a role in the formation of GDP (as the dependent variable), namely the volume of coffee production, the export value of coffee, the export price of coffee, and the MSME investment credit during the 2009-2018 period. This research uses a quantitative based approach to obtain multiple linear regression models that can map research problems. Based on statistical tests, the research variables have a positive and significant contribution to the increase in the GDP of plantation crops. The implication of the results is the trend of declining exports substituted by the booming demand for coffee in the country supported by MSME investment credit. The application of GVC can be one strategy to increase the share of coffee exports again.
Abstract. In this paper, the combination of double-flash and binary cycles for Ulubelu geothermal power plant is proposed and optimized by using the Matlab software. This proposed system uses real data and properties of brine exploited from the Ulubelu geothermal well in Indonesia and four working fluid candidates, namely n-Pentane, R141b, R123 and R245fa are used in binary cycles. Optimization using a multi-objective genetic algorithm with an exergoenomic approach is applied to find out the proposed system performance from both thermodynamic and economic point of view. In the optimization procedure, the exergy efficiency and total specific cost of output power become objective functions while the first flash pressure, second flash pressure and Organic Rankine Cycle (ORC) turbine inlet temperature are selected as constraints. The system performance proposed in this paper is compared with the performance of the existing system. The results show that n-pentane is the best working fluid where multi-objective optimization indicates that the system can generate 63.54 MW of power with thermal and exergy efficiencies of 17.59% and 65.26% and specific cost of 1.7049 USD / GJ at the selected optimal design point. Compared to the existing system, there is a significant improvement in performance both from thermodynamic performance and economic performance.
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