Energy has an important role in achieving social, economic and environmental goals, with energy being a driving force for the economy and a form of defense against the state. Because energy supports the supply of fuel, electricity and infrastructure so as to support a stable defense. The increasing needs of the community in the transportation sector and the decreasing availability of fossil energy. The Indonesian government is trying to find alternative energy as a substitute for fuel oil, namely by using electric vehicles. With the development of electric vehicles in Indonesia, it is expected to be a solution and can support the achievement of clean and environmentally friendly energy. Electric vehicles can reduce pollution and exhaust emissions due to the use of fuel oil in two or four-wheeled vehicles. In addition, using electric-fueled vehicles will certainly reduce the energy crisis and import fuel oil. In support of clean and environmentally friendly energy, Indonesia has supported the Paris Agreement policy to reduce carbon emissions in the transportation sector. The author tries to discuss the use of electric vehicles through current policies and applications and is associated with reducing carbon emissions through the use of electric cars. At the end the researcher will provide strategic recommendations related to the use and development of environmentally friendly electric vehicles to be developed in Indonesia in order to reduce carbon emissions in the transportation sector.

Uji keakurataan data media sosial Twitter sebagai sumber informasi banjir telah diteliti melalui penyaringan twit yang memuat informasi banjir di wilayah DKI Jakarta pada tahun 2015-2017. Twit yang memuat kata kunci banjir dikumpulkan untuk mendapatkan lokasi-lokasi banjir yang pernah dilaporkan oleh pengguna Twitter. Lokasi banjir ini selanjutnya dipetakan dan divalidasi menggunakan data curah hujan dari satelit GPM (Global Precipitation Measurement) yang disediakan oleh NASA (National Aeronautics and Space Administratration). Distribusi lokasi banjir dalam 3 tahun dianalisa berdasarkan intensitas rata-rata curah hujan tahunan. Kemudian, dilakukan uji regresi linear antara jumlah twit dengan intensitas curah hujan harian di setiap lokasi banjir. Hasil penelitian memperlihatkan sebaran lokasi banjir berada pada wilayah yang memiliki intensitas curah hujan yang tinggi.  Nilai uji regresi linear antara jumlah twit dengan intensitas curah hujan pada lokasi banjir sebesar 0.431. Nilai regresi 0,431 diperoleh setelah twit banjir kiriman dikeluarkan. Dengan demikian selain intensitas curah hujan, banjir kiriman juga memberikan dampak yang sangat besar sebagai penyebab banjir di Jakarta. The utilization Twitter social media data as a source of flood information has been investigated through filtering tweets containing flood information in the DKI Jakarta area  during 2015-2017. Tweets containing the keyword flood are collected to get flood locations that have been reported by Twitter users. Furthermore, the location of this flood is mapped and validated using rainfall data from the GPM (Global Precipitation Measurement) satellite provided by NASA (National Aeronautics and Space Administration). The distribution of flood locations is analyzed based on the average annual rainfall intensity. Then the relationship between the number of tweets and the intensity of daily rainfall at each flood location was examined using a linear regression. The distribution of flood locations is concentrated in the areas with high rainfall intensity. The value of linear regression coefficient between the number of tweets with the intensity of rainfall at flood locations is 0.431. However, a regression coefficient of 0.431 was obtained after the tweet containing flood of submissions was excluded. Thus, in addition to the intensity of rainfall, flood of submissions also has a very large impact as a cause of flooding in Jakarta

Electricity consumption in Padang Lawas Regency has increased every year, namely 59,962,000 kWh in 2018, and reached 74,060320,5 kWh in 2020. This increase is in line with the population growth rate so that it also has an impact on land availability. Forecasting electricity consumption absolutely must be done because it greatly affects the distribution and availability of electrical energy. There are three problems related to electrical energy resources. First, the availability of electricity will decrease as demand increases. The second is the increase in population which has an impact on improving the quality of life of the community and the availability of electricity. Third, the increase in land conversion is increasingly massive, causing population density and energy needs in the region to increase. For this reason, it is necessary to project the need for electrical energy for the population and land conversion in Padang Lawas Regency in 2021-2050. The objectives of this study can be used as a basis and choice for policy and strategy making in regional development planning by the Padang Lawas Regional Government. This is done so that the problem of electricity availability can be resolved. This research was conducted using the PowerSim Studio 10 application by simulating a dynamic system model involving several variables that influence each other. The results showed that population variables affect land requirements and total energy consumption. Analysis of electricity availability in Padang Lawas Regency until 2050 will experience an increase in electricity consumption accompanied by an increase in population and land conversion. Based on the results of the simulation scenario, the availability of electricity in Padang Lawas Regency can meet the total electricity consumption needs until 2050, either with or without intervention.