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Pemanfaatan Kecerdasan Buatan dalam Pendidikan di Indonesia: Potensi dan Tantangan Oktavia, Devi Haryanti; Suseno, Giri
Indo-MathEdu Intellectuals Journal Vol. 5 No. 2 (2024): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v5i2.876

Abstract

The use of Smart Technology (AI) in the education sector in Indonesia, considering its opportunities and obstacles, is evaluated in this article. This study aims to discuss the potential and challenges of using AI in education in Indonesia. Literature studies are used, with various related studies having been published. AI offers great potential to support more individualized and responsive education, including automated evaluation and increased student participation. To face the risks and prospects of the digital era, Indonesian students are required to understand AI. Although the adoption of AI raises various barriers, including privacy, moral, and digital divide, this article emphasizes the need for a strong legal and ethical framework to control the use of AI in Indonesia. The training of teachers to utilize AI efficiently in their teaching practices was also highlighted. The huge potential offered by AI for education in Indonesia requires a careful and balanced approach to maximize benefits and minimize risks as a general assessment
Analysis of the Effect Degree of Operating Leverage (DOL) and Degree of Financial Leverage (DFL) On Earning Per Share (EPS) in Pt. Agung Podomoro Land Tbk Suseno, Giri; Murnawati, Murnawati; Lubis, Nurhayani
Jurnal Kajian Ekonomi dan Manajemen Indonesia (JKEMI) Vol. 1 No. 2 (2023): Jurnal Kajian Ekonomi dan Manajemen Indonesia
Publisher : Yayasan Pendidikan Islam Amal Shaleh Kombongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61079/jkemi.v1i2.17

Abstract

The purpose of this study was to determine the effect of the variable Degree of Operating Leverage and Degree of Financial Leverage partially or simultaneously on Earning Per Share. The data used in the study are secondary data, the object used in this study is PT Agung Podomoro Land Tbk for the period (2010-2019) which is listed on the Indonesia Stock Exchange. The data analysis technique used is multiple linear regression analysis. Based on the results of data analysis, partially Degree of Operating Leverage has a negative and insignificant effect on Earning Per Share, and Degree of Financial Leverage has a positive and insignificant effect on Earning Per Share. The simultaneous test results show that the regression model can be used to predict Earning Per Share as evidenced by the significant value of the F test of 0.787> 0.05. The R-Square value of 0.066 indicates that the ability of the independent variables to explain the variation in the dependent variable is 6% and the remaining 94% is explained by other variables outside the research model.