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A Comprehensive Review on Artificial Intelligence Techniques for Covid-19 Pandemic Anisha; Saranya
International Journal of Artificial Intelligence Vol 8 No 1 (2021)
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.ijai-0801.193

Abstract

The pandemic situation due to the emergence of Covid-19 presents various problems physically, economically and mentally for the individuals world-wide, therefore faster solutions with wider access is essential to solve the problems which aids as a support to the healthcare. This is made possible through the incorporation of Artificial Intelligence (AI) technology to handle the situation of pandemic. This paper aims to present a comprehensive re-view of the applications employed using AI for the problems faced during Covid-19 pandemic. The AI applications involved in screening, predicting, forecasting, neighborhood contact tracing and drug discovery of Covid-19 are addressed in this review. This review also presents detailed working of AI algorithms in each application. This paper helps the researchers with vivid information of AI applications of Covid-19 pandemic.
Determinants of Foreign Direct Investment in ASEAN: The Role of Gross Domestic Product, Interest Rate, Inflation and Trade Openness Panca Wijaya; Eogenie Lakilaki; Anisha; Jessicaa Amanda; Tri Wahyuni
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 4 No. 6 (2024): Indo-Fintech Intellectuals: Journal of Economics and Business (2024)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v4i6.2512

Abstract

Pembangunan ekonomi merupakan salah satu elemen utama dalam meningkatkan pendapatan negara, dengan investasi asing langsung (FDI) sebagai salah satu contohnya. Penelitian ini bertujuan untuk menganalisis pengaruh variabel Gross Domestic Product (GDP), suku bunga riil, inflasi, dan keterbukaan perdagangan (Trade Openness/TO) terhadap Foreign Direct Investment (FDI). Dengan metode kuantitatif melalui regresi data panel digunakan sebagai metode penelitian pada rentang periode 2019-2023 di beberapa negara, yaitu Indonesia, Malaysia, Thailand, Vietnam, dan Filipina. Hasil penelitian menunjukkan bahwa variabel GDP, inflasi, dan keterbukaan perdagangan memiliki pengaruh positif dan signifikan terhadap FDI, sedangkan suku bunga riil tidak memiliki pengaruh yang signifikan terhadap FDI.