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Poverty is a common problem around the world. At the end of 2019, the emergence of the covid-19 virus exacerbated the situation of the poor. So various efforts are made to deal with this. This paper proposes a Multidimensional scaling method to identify characteristics that affect poverty in each Regency/city in West Sumatra. The main advantage of this method is a two-dimensional perceptual map that facilitates the presentation of research results. Multidimensional scaling analysis is a multiple-variable technique that involves creating a map to describe the position of an object with other objects based on similarity values. The analysis involved regencies/cities in West Sumatra with poverty characteristic variables. To determine the validity of the research results, testing using Rstudio obtained a stress value of 6.4% and an R2 value of 0.996. The results obtained is Padang Kota, Pariaman Kota, Dhamasraya, Padang Panjang Kota, and Sawahlunto have proximity to the poverty characteristics based on the type of residential floor made of soil (X2), do not have defecation facilities/ together with other households (X4), source of household lighting does not use electricity (X5), have a residential floor area of less than 8 m2 (X1), and do not have defecation facilities / together with other households (X4). It is hoped that the results of this study will be able to assist in handling poverty in every Regency/city in the province of West Sumatra. [ABSTRACT FROM AUTHOR]

This study assesses Jawa-Sumatera interregional electricity system's long-term planning until 2050. The planning is determined based on least-cost optimization in the TIMES model. The model considers a high disparity between regions such as electricity demand, power generation infrastructure, and energy resources. There are twenty-seven technology power generations and three energy storage technologies competing in this model, the modeling also reviews the pattern of generating operations and the role of energy storage on an hourly for each region. A trading scenario was applied to plan power generation with interconnected transmission between Jawa-Sumatera by HVDC transmission. The results show power generation portfolio for BAU and the trading scenario in Jawa and Sumatra is dominated by a gas-based power plant. The trading scenario results in an increase of 70% installed capacity in Sumatera and a decrease of 23% installed capacity in Jawa, an average of 1.96 TWh of electricity is exported every hour to Jawa, a decrease in electricity production cost for Jawa from 10.69 cUSD/ kWh to 9.15 cUSD/kWh and Sumatera from 6.77 cUSD/kWh to 4.88 cUSD/kWh, an increase in renewable energy penetration especially utility-scale PV in Sumatera 19% and a reduction in emissions to 322 gCO2/kWh and required transmission capacity 43.6 GW in 2050 to distribute electricity from Sumatera to Jawa. [ABSTRACT FROM AUTHOR]

This study assesses Jawa-Sumatra interregional electricity system's long-term planning until 2050. The planning is determined based on least-cost optimization in the TIMES model. The model considers a high disparity between electricity demand, power generation infrastructure, and energy resources. Twenty-seven technology power generations and three energy storage technologies competed in this model. The model also reviews the pattern of generating operations and the role of energy storage on an hourly for each region. A Trading scenario was applied to plan power generation with interconnected transmission between Jawa-Sumatra by HVDC transmission. The results show a power generation portfolio for BAU, and gas-based power plants dominate the trading scenario in Jawa and Sumatra. The trading scenario results from an increase of 70% installed capacity in Sumatra and a decrease of 23% installed capacity in Jawa; an average of 1.96 TWh of electricity is exported every hour to Jawa. The cost of producing electricity in Jawa will decrease from 10.69 cents USD/ kWh to 9.15 cents USD/ kWh and Sumatra from 6.77 cents USD/ kWh to 4.88 cents USD/ kWh. Penetration of renewable energy, especially utility-scale solar PV in Sumatra, will increase 19% and reduce emissions to 322 gCO2/kWh. To export electricity from Sumatera to Jawa required needed 43.6 GW transmission capacity in 2050. [ABSTRACT FROM AUTHOR]