Sriwijaya University

This study presents a bibliometric analysis of 68 Scopus-indexed publications from 2011 to July 2025 on artificial intelligence (AI) in assessment. The dataset recorded 1,581 total citations, with an h-index of 22 and g-index of 38, indicating steady growth that intensified after 2021 as AI adoption expanded in post-pandemic education. The United States, Germany, and the United Kingdom emerged as the most productive contributors, supported by high-impact institutions such as Michigan State University, Purdue University, and the IPN Leibniz Institute for Science and Mathematics Education. Influential authors, including Haudek and Zhai (2024), Kubsch et al. (2023), and Wulff (2023), have advanced the field through interdisciplinary research on automated feedback, machine learning, and data-driven evaluation. Keyword co-occurrence analysis revealed three dominant thematic clusters: technology-enhanced learning and automated feedback, machine learning with ethical considerations, and AI-supported formative assessment in science and engineering education. While the findings highlight AI’s transformative potential for adaptive, feedback-oriented learning, challenges persist in ensuring accessibility, curricular integration, teacher readiness, and ethical governance. Overall, this study provides a comprehensive overview of global trends, leading contributors, and emerging themes that inform future research and policy directions in AI-driven educational assessment.

Purpose: This study aims to evaluate the role of Artificial Intelligence (AI) in sustainability reporting. The main focus is on how AI can improve quality, efficiency, and transparency, as well as the challenges that arise in the application of AI in sustainability reporting. Methodology/approach: The method used was a Systematic Literature Review (SLR) with three stages: planning, implementation, and reporting over the past five years (2020-2025) from 1,087 initial articles. After the PRISMA process, 30 relevant articles were selected and analyzed. Results/Findings: The study found that the benefits of AI include improved efficiency and accuracy, management of big data, enhancement of transparency and accountability, and aiding in sustainable decision-making. The main challenges of this research are algorithm bias, personal data protection, cost and technology constraints, and the lack of global standards in AI-based reporting. Conclusions: AI has the potential to improve quality and transparency through automation, predictive analysis, and efficient data management. However, its implementation requires regulations, guidelines, and ESG standardization. Limitations: Most studies originate from developed countries, while developing countries contribute relatively little. Contributions: This research highlights the importance of regulation and standardization in the implementation of AI in sustainable financial reporting. It describes the current state of affairs and provides a strong foundation for further research and policy formulation at the global level.

Oxidative stress is a condition where free radical levels exceed those of antioxidants. Thus, the body requires exogenous antioxidants, which can be obtained through functional foods or supplements. Differences in the nutrient, secondary metabolite content, and biological activity of medicinal plants may be influenced by environmental factors. Therefore, this study aimed to investigate the phenolic content and antioxidant activity of water hyacinth (Eichhornia crassipes) leaf extracts from different harvesting locations in South Sumatra. The results show that different harvesting locations affected the yields (17.62% – 26.59%), total phenolic contents (14.68 mg GAE/g – 34.10 mg GAE/g), and antioxidant activities (IC50 176.10 µg/mL – IC50 257.02 µg/mL) of the water hyacinth leaf extracts. The highest phenolic content was observed in the extract from Lubuklinggau, and this extract also exhibited more effective antioxidant activity compared to the Banyuasin and Palembang extracts. The asymmetric and symmetric stretching of the polymeric hydroxyl group and hydrogen bonding, which are characteristic features of phenolic compounds, were observed. This information suggests that water hyacinth leaves extract can be used as an alternative natural antioxidant agent for food supplements or functional food products.

Oil and gas facilities present challenging wireless communication environments due to complex metallic structures and severe multipath propagation, which can degrade the reliability of Industrial Internet of Things (IIoT)–based monitoring systems. To address this issue, this study proposes a compact dual-band 2×2 MIMO microstrip antenna operating at 2.6 GHz and 3.8 GHz for wireless monitoring applications in oil and gas facilities. The antenna is fabricated on a low-cost FR-4 substrate and employs a hexagonal patch geometry, miniaturized using a beveled half-cut technique to shorten the effective current path while maintaining good impedance matching. Furthermore, a multi-bridge ground structure is introduced to reduce mutual coupling between MIMO elements. Antenna performance is evaluated through simulations using Computer Simulation Technology (CST) by analyzing S-parameters, VSWR, gain, and radiation patterns. Simulation results show that the proposed antenna achieves reflection coefficients below −10 dB at both operating bands, inter-element isolation of up to ≤ −20 dB, VSWR values below 1.5, and a peak gain of 1.41 dBi. These results indicate that the proposed compact dual-band MIMO antenna is a promising candidate for reliable wireless monitoring systems in oil and gas facilities.

Perkembangan kegiatan investasi di Indonesia mendorong adanya sistem yang tidak hanya berorientasi pada keuntungan ekonomi, tetapi juga sistem yang sesuai dengan prinsip-prinsip syariah. Kehadiran pasar modal syariah menjadi salah satu alternatif bagi masyarakat, khususnya investor Muslim, untuk melakukan investasi tanpa mengandung unsur riba, gharar, maupun maysir. Penelitian ini bertujuan untuk mengkaji instrumen investasi syariah dalam pasar modal Indonesia berdasarkan prinsip syariah serta menelaah mekanisme investasi syariah di pasar modal Indonesia untuk menjamin keseimbangan antara kepatuhan syariah, efisiensi pasar, dan kepastian hukum. Metode penelitian yang digunakan adalah penelitian hukum normatif dengan pendekatan perundang-undangan dan pendekatan kajian Pustaka yang memanfaatkan literatur dari buku, artikel, jurnal, dan berita yang relevan. Hasil kajian menunjukkan bahwa instrumen investasi syariah telah didukung oleh pengaturan hukum yang memadai melalui regulasi pasar modal dan fatwa lembaga terkait, dan mekanisme investasi syariah. Pengaturan tersebut memberikan jaminan kepastian hukum sekaligus meningkatkan kepercayaan masyarakat dalam melakukan investasi pada pasar modal syariah di Indonesia.