Since Covid-19 arrived in Indonesia, all policies have been carried out to stop the spread of this virus, one of which is the PSBB. The impact of the PSBB is felt by the drastic increase in the number of unemployed in Indonesia. Using Multiple Classification Analysis (MCA), this research was conducted in order to see the condition of the Open Unemployment Rate (TPT) in each province in Indonesia between before and during the pandemic, and to find out the factors that influenced it. The results show that both before and after the pandemic, provinces with an HDI below the national figure led to higher TPT. The growth rate of GDRP and UMP has a different effect between before and during the pandemic. Other results also show that before the pandemic, UMP had the greatest influence on TPT. But after the pandemic, the one that had the biggest impact was HDI.
Coronavirus jenis baru SARS-CoV-2 terus meyebabkan penyakit pernapasan, yang dikenal dengan Coronavirus Disease-2019 (COVID-19). COVID-19 dianggap sebagai penyakit pademi global terbesar pada tahun 2020 dan terapi antiviral COVID-19 masih kurang di seluruh dunia. Penelitian saat ini masih berusaha untuk menemukan terapi potensial untuk penyakit tersebut, termasuk dari senyawa alami. Oleh karena itu, penting untuk mengetahui senyawa herbal apa yang paling efektif untuk melawan virus tersebut. Jamu merupakan obat tradisional yang berasal dari tumbuhan herbal di Indonesia dan memiliki beberapa khasiat obat. Penelitian ini dilakukan dengan tujuan untuk menemukan potensi jamu Indonesia dalam terapi COVID-19. Sebanyak 283 senyawa bioaktif dari jamu Indonesia disaring melalui penapisan berdasarkan parameter Lipinski’s Rule of Five dan prediksi ADMET (Absorpsi, Distribusi, Metabolisme, Eksreksi, dan Toksisitas) menggunakan ProTox-II dan SwissADME. Sebanyak 12 senyawa hasil penapisan kemudian dilanjutkan untuk diuji melalui penambatan molekuler terhadap SARS-CoV-2 Main Protease (Mpro) menggunakan AutoDock Vina. Hasil penelitian ini menunjukkan bahwa Kurkuminol D memiliki energi bebas ikatan (ΔG); sebesar -6,9 kkal/mol; dan konstanta inhibisi (Ki); sebesar 2,99 µM; terendah dibandingkan senyawa hasil penapisan lainnya. Namun, tidak ada senyawa hasil penapisan yang memiliki ΔG lebih rendah daripada ΔG kedua kontrol positif, yaitu sebesar –8,2 kkal/mol (Lopinavir) dan –7,8 kkal/mol (Ritonavir). Walaupun 271 senyawa lain tidak memenuhi syarat dalam penapisan, senyawa tersebut mungkin saja memiliki potensial yang lebih tinggi daripada obat standar. Oleh karena itu, penelitian ini dapat menjadi titik awal dalam proses pengembangan obat terapi COVID-19 dari senyawa alami.
Since Covid-19 arrived in Indonesia, all policies have been carried out to stop the spread of this virus, one of which is the PSBB. The impact of the PSBB is felt by the drastic increase in the number of unemployed in Indonesia. Using Multiple Classification Analysis (MCA), this research was conducted in order to see the condition of the Open Unemployment Rate (TPT) in each province in Indonesia between before and during the pandemic, and to find out the factors that influenced it. The results show that both before and after the pandemic, provinces with an HDI below the national figure led to higher TPT. The growth rate of GDRP and UMP has a different effect between before and during the pandemic. Other results also show that before the pandemic, UMP had the greatest influence on TPT. But after the pandemic, the one that had the biggest impact was HDI.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.