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All Journal Gorontalo Development Review Jurnal Pendidikan Indonesia (Japendi)
Yiswi, Trivena Apriska
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Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

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Dampak Artificial Intelligence (Ai) Terhadap Pendidikan Di Indonesia Waita, Badriello Chenny; Yiswi, Trivena Apriska; Kristiahadi , Ariella
Jurnal Pendidikan Indonesia Vol. 6 No. 7 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i7.8433

Abstract

Artificial Intelligence (AI) technology advancements have brought about profound transformations across various domains, including education. This study aims to critically examine the implementation of AI within multiple facets of the Indonesian education system, encompassing teaching methodologies, learning assessment, and administrative management. Employing a qualitative approach through a comprehensive literature review, this research integrates conceptual and empirical findings from reputable academic sources. The results of this study underscore the necessity of strengthening collaborative efforts among government entities, educational institutions, and the technology sector to foster an inclusive, adaptive, and sustainable digital transformation in education.
Testing the Environmental Kuznets Curve Hypothesis Using the Environmental Performance Index: Evidence from Ten Largest High-Income OECD Economies (2006–2022) Yiswi, Trivena Apriska; Saraswati, Birgitta Dian
Gorontalo Development Review Volume 9 Nomor 2 Oktober 2026
Publisher : Universitas Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32662/golder.v9i2.5242

Abstract

This study aims to analyze the influence of economic growth, renewable energy consumption, and non-renewable energy consumption on the Environmental Performance Index (EPI), as well as to test the Environmental Kuznets Curve (EKC) hypothesis in the 10 largest OECD countries for the period 2006-2022. Using the Panel Vector Error Correction Model (PVECM) analysis technique with the Common Effect Model (CEM) approach, this study provides results that the EKC hypothesis in the 10 countries with the highest economic growth rates in the OECD is not proven. Although GDPPC² is proven to have a positive and significant effect which means indicating a turning point, per capita income and non-renewable energy consumption are proven to have a negative and significant effect both in the short and long term. This indicates that increasing per capita income will actually cause a decline in environmental quality in both the short and long term. This has the impact of policies that sustainable economic growth will be realized if the government pays attention to environmental aspects such as implementing policies prohibiting the use of fossil fuels, imposing carbon taxes to reduce carbon emissions and providing incentives for investment in infrastructure development using renewable energy such as solar or wind energy.
Co-Authors Briggita Dian Saraswati Kristiahadi , Ariella Waita, Badriello Chenny