This study aims to review the literature on the effects of using ChatGPT on postgraduate students' competencies. The method applied in this study is a literature review of 420 journals from 500 journals. References were obtained from the Emerald Journal, Elsevier and Google Scholar by utilizing the Publish or Perish application. Data processing uses the VOSviewer application. With this literature review, it was found that.In the network visualization data, it was found that the widest link in the largest Red cluster was GPT, Chat GPT, Ability, Artificial Intelligent, Student, Chat, Higher education which was related to Postgraduate-student. In the overlay visualization based on the year, it was found that the projection of the year of collection at the time of the study. It can be seen from the darkest keywords, namely ability, student, skill, which have a longer research projection. Meanwhile, the research projections included in the latest research are with the keywords conversation, generative ai, education, and research. The results of Density Visualization show that the keywords ChatGPT, Ability, Higher Education, and Skill are included in the most frequently conducted research results. Meanwhile, the keywords generative AI, research, challenge, opportunity, conversation, artificial intelligent are included in the least conducted research. This shows that there is a significant relationship between the keywords mentioned.The recommendations given include strengthening the policies implemented in each university in each country for the use of AI as a medium for information and data processing. In addition, training on plagiarism in the preparation of various research journals and final assignments for postgraduate students needs to be intensified. The results of this study are expected to provide insight and breadth to related agencies that these opportunities can be further developed in Indonesia.
 

Petrochemical-based synthetic plastics pose significant environmental concerns due to their non-biodegradable nature. Bioplastics, particularly those derived from corn starch, offer a promising alternative because of their biodegradability and renewable origin. This article presents a narrative review analyzing the effects of various additives on the characteristics of corn starch-based bioplastics, including tensile strength, water absorption, and biodegradability. The review focuses on scientific publications from 2015 to 2025.  Three types of additives were examined: cellulose fibers, graphene oxide (GO), and polyvinyl alcohol (PVA). The results show that the combination of starch and PVA with glycerol yields the best overall performance, achieving the highest tensile strength (1.8 MPa), moderate water resistance 60%, and rapid biodegradation within 6–10 days. While cellulose improves mechanical properties, it tends to slow down the degradation rate. GO provides only slight enhancements in mechanical and water-resistant properties. Overall, the starch–PVA blend appears to be the most promising formulation for developing eco-friendly and applicable bioplastics in the future.

The development of Artificial Intelligence (AI) technology in the education sector has undergone major changes. These changes bring great opportunities to change the learning process to be more personal, effective, and inclusive. The purpose of this journal is to analyze the potential and challenges that need to be faced in the application of AI in education so that it can run optimally. The method used in this study is the literature review method of various recent studies that discuss the use of AI in education, The results of the study show that AI has great potential to improve the personalization of learning and educational efficiency. However, there are number of significant challenges, such as limited infrastructure, privacy and data security issues, resistance from educators and students, and the digital divide that still occurs in several regions. Therefore, a strategy is needed that includes a academic laziness that reduces learning motivation, constraints on AI contextual knowledge, Inability to process complex information, loss of literacy skills, amd the risk of addiction to AI technology. With a planned and sustainable strategy, AI has great potential to improve the quality of national education and also reduce the dangers that may arise from the modern technological era.

As technology rapidly advances, the internet and social media have become an integral part of everyday life. Social media, which has evolved significantly since the Web 2.0 and 3.0 eras, plays a crucial role in communication and marketing. In this context, Bank Syariah Indonesia utilizes social media as a marketing tool to reach customers, particularly the millennial generation, who are highly reliant on digital technology. This study aims to explore the application of social media in the marketing of Islamic bank products and how brand image influences customer decisions. The use of social media platforms such as Instagram, Facebook, Twitter, and TikTok allows the Islamic bank to introduce products and expand its market reach more efficiently. Furthermore, the research indicates that marketing through social media significantly influences consumer purchase intent and strengthens brand image. The bank's brand image is also influenced by product quality, responsive customer service, and the company's reputation, all of which contribute to increased customer trust. With the right digital marketing strategy, the Islamic bank can enhance operational efficiency, strengthen its market position, and provide better services to customers.