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All Journal Jurnal Ilmu Sosial, Pendidikan Dan Humaniora Indonesian Journal of Education (INJOE) International Journal of Economics and Management Research
Elmiwati Elmiwati
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Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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ARTIFICIAL INTELLIGENCE IN THE CLASSROOM: INNOVATION OR DISRUPTION IN EDUCATION Risqah Amaliah Kasman; Loso Judijanto; Elmiwati Elmiwati
Indonesian Journal of Education (INJOE) Vol. 4 No. 3 (2024): DECEMBER
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

These days, artificial intelligence (AI) is regarded as one of the most revolutionary technologies and consequently, its application is evident in various industries, education inclusive. The investigative design in this research utilizes review of literature. The analysis demonstrates that there are aspects that make it more reasonable to integrate artificial intelligence into the learning process, such as increased content diversity and student engagement, deep learning capabilities, and better organizational assistance. Fast and effective adaptive learning systems based on AI can provide appropriate materials and the required level of difficulty to each learner individually, while evaluation systems can automatically assess the knowledge and learning speed of students and relieve cut down the efforts needed by teachers. However, the study also suggests a number of barriers and possible risks, such as privacy issues or lack of privacy regarding students’ data, unfair treatment in AI algorithms, the gap of technology in society, and lack of human beings in the education process. The main point of this particular article is that AI as an ordinary classroom tool is both a source of creativity and a source of problems. The potential of technology to change the educational landscape is immense, but steps on how to achieve it should be gradual and ethical.
PREPARING STUDENTS FOR THE ERA OF ARTIFICIAL INTELLIGENCE: CHALLENGES AND STRATEGIES Elmiwati Elmiwati; Alim Hardiansyah; Rahmat Shodiqin
Indonesian Journal of Education (INJOE) Vol. 4 No. 3 (2024): DECEMBER
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

The era of Artificial Intelligence (AI) has brought significant changes in various aspects of life, including education. The research method in this study used a literature review. The results show that the implementation of this strategy requires a holistic and collaborative approach from all stakeholders in the education ecosystem. The research also underscores the importance of a balance between technical skills and soft skills in preparing students for the AI era. In conclusion, although the challenges are significant, with the right strategies, the education system can evolve to prepare future generations to face and thrive in an era dominated by AI.
Applying Guided Reading Strategies to Improve Students’ Reading Comprehension of Descriptive Text Elmiwati Elmiwati; Rona Elfiza; Inne Kusumawardhani
JISPENDIORA Jurnal Ilmu Sosial Pendidikan Dan Humaniora Vol. 4 No. 2 (2025): Agustus: Jurnal Ilmu Sosial, Pendidikan Dan Humaniora (JISPENDIORA)
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/jispendiora.v4i2.2188

Abstract

This research was held to improve the students’ ability in reading comprehension of descriptive text by using guided reading strategies. It was a Classroom Action Research which is consists 38 students. The data was collected by using task, test, observation checklist, interview and field note, and by using formula of mean score. The result indicate the students’ ability in reading comprehension of descriptive text improved in each cycle by using guided reading strategies. It can be seen from the mean score on the first cycle was 73,55 then improved in the second cycle was 82,37. Based on the result, the researcher concluded that the used of guided reading could improve students ability in reading comprehension of descriptive text.
Leverage Ratio, Capital Intensity, and Inventory Turnover: Their Influence on the Effective Tax Rate of Textile and Garment Manufacturing Companies (2017–2023) Aditya Wahyu Prabowo; Khoirul Rozikin; Elmiwati Elmiwati
International Journal of Economics and Management Research Vol. 4 No. 3 (2025): December : International Journal of Economics and Management Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijemr.v4i3.552

Abstract

This study aims to evaluate the impact of debt ratios, capital intensity, and inventory turnover on effective tax rates (ETR) in manufacturing companies in the textile and garment sectors listed on the Indonesia Stock Exchange (IDX) during the 2017–2023 period. The background of this research stems from the urgency of fiscal efficiency to enhance the competitiveness of Indonesia's textile industry, which faces significant challenges from global economic pressures, fluctuating export demands, and increasing production costs. These external factors have pushed companies to seek strategic ways to manage their tax burden without violating prevailing regulations. The research adopts a quantitative approach, employing the Common Effect Model (CEM) in panel data regression, with data derived from 112 firm-year observations across 16 companies selected based on specific criteria. This approach is chosen for its effectiveness in analyzing the influence of multiple variables over time while controlling for company-specific characteristics. The empirical findings reveal that leverage, or debt ratio, does not significantly affect the ETR, suggesting that the use of debt as a tax shield is not effectively utilized or is neutralized by other factors such as regulatory constraints or conservative financial policies. In contrast, capital intensity—measured by the proportion of fixed assets—has a significant negative impact on ETR. This indicates that companies with higher investments in fixed assets can reduce their taxable income through depreciation expenses, making capital intensity a valuable tax planning tool. Meanwhile, inventory turnover shows a significant positive relationship with ETR. Although high inventory turnover generally indicates operational efficiency and strong sales performance, it may also lead to higher taxable income, thus increasing the overall tax burden. This paradox underlines the complexity of aligning operational efficiency with fiscal efficiency in practice.
Co-Authors Aditya Wahyu Prabowo Alim Hardiansyah Inne Kusumawardhani Khoirul Rozikin Loso Judijanto Rahmat Shodiqin Risqah Amaliah Kasman