Tulisan ini menjelaskan perkembangan terbaru diplomasi digital yang dijalankan Kementerian Luar Negeri Indonesia dalam merespon tingginya tantangan teknologi, informasi, dan komunikasi (TIK) terhadap kepentingan nasional Indonesia. Penggunaan internet dan sosial media telah mengubah praktik diplomasi berbagai negara. Menganalisis saling keterkaitan antara internet dan diplomasi, tulisan ini ingin melihat jalan yang ditempuh Kemenlu dan diplomatnya untuk mengikuti arus perkembangan TIK dan menggunakannya sebagai alat penarik simpati masyarakat. Jika ditelisik kembali, kebijakan diplomasi digital Kemenlu dan implementasinya melalui situs web dan perangkat sosial media lain, memperlihatkan komitmen yang kuat dalam penggunaan diplomasi digital untuk mengatur segala urusan luar negeri di era daring. Diplomasi digital telah memperlihatkan berbagai keuntungan seperti komunikasi langsung dan interaktif dengan pihak asing. Meski demikian, diplomasi digital Indonesia harus menghadapi berbagai permasalahan yang erat kaitannya dengan penggunaan internet oleh aktor negara dan non-negara, baik dalam maupun luar negeri, yang mungkin hal tersebut memiliki risiko bagi hubungan antarnegara. Tulisan ini berargumen bahwa peningkatan penggunaan diplomasi digital akan menentukan kapabilitas Kemenlu dan diplomatnya dalam menghadapi masalah dan tantangan hubungan internasional di era internet.
Abstract:This study aims to apply the model Principal component Analysis to reduce multicollinearity on variable currency exchange rate in eight countries in Asia against US Dollar including the Yen (Japan), Won (South Korea), Dollar (Hongkong), Yuan (China), Bath (Thailand), Rupiah (Indonesia), Ringgit (Malaysia), Dollar (Singapore). It looks at yield levels of multicolinierity which is smaller in comparison with PCA applications using multiple regression. This study used multiple regression test and PCA application to investigate the differences in multicollinearity at yield. From this research, it can be concluded that the use of PCA analysis applications can reduce multicollinearity in variables in doing research.
SUMMARY
More recently, significant fluctuations in the Indonesian economy justify the need to pay more attention to this issue. In this case, the main purpose of this research is to know the relationship between two issues related to Indonesian macro economy called consumption and GDP for data period during 1967 until 2014. This study investigates the relationship between GDP variables and Indonesian consumption consumption variables using the test ARDL, cointegration and Granger causality. The result of the research can be concluded that, there is long-run equilibrium relationship between GDP and consumption with long-term ARDL model, 10% change of consumption will produce long-term change of 44% in GDP. It is not surprising that there is no short-run equilibrium relationship between GDP and consumption. 10% of consumption will result in a short-term ARDL model change of 95% in GDP. The variables and consumption of GDP are cointegrated in the long run significantly at lag interval 10, whereas the use of lag interval 1 and 5 is not credited in the long run. Using a cointegration test with lag interval 1, 5 and 10 indicates significant for all usage slowness. So it can be summarized in the context of GDP and coordinated short-term economic consumption for all the prevailing interval lags. concluded that long-term causality test results between GDP variables and significant consumption with time intervals 5 and 10. intervals 1, 15 and 20 have no long-term causality relationship between GDP variables and consumption variables. a short-term causal model. With lagging intervals of 1, 5, 10 and 15, there is a short-term causal relationship between the variable GDP and consumption. As for the use of delay interval 20 there is no causal relationship in the short term between the variable GDP and consumption in Indonesia.
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