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Pelatihan Asistensi Artificial Intelligence (AI) terkait penulisan Bahasa Inggris pada PT. KCI Indonesia Dinanti, Putri Ayienda; Sibuea, Todo
Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) Vol 9, No 4 (2025): Jurnal Pelayanan dan Pengabdian Masyarakat (PAMAS)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM Universitas Respati Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/pamas.v9i4.7069

Abstract

The Artificial Intelligence (AI) Assistance Training for English writing at PT. KCI Indonesia is designed to address the written communication challenges faced by employees. This program aims to enhance English writing skills by utilizing AI technology that provides real-time feedback on grammar, vocabulary, sentence structure, and giving ideas to write. In the era of globalization, strong written communication skills have become essential to ensure professionalism in various business documents. Furthermore, this training is designed to support employees in drafting documents that align with the needs of the business context. The program's implementation methods include socialization, training, mentoring, and performance evaluation. The training results indicate improvements in employees' writing skills, making them more efficient. Employees have become more confident in preparing various types of business documents. The company's employees are now better equipped to enhance English literacy within the business context. With an innovative AI-based approach, this program offers a relevant solution for PT. KCI to face future global challenges
Teacher’s Asynchronous Written Corrective Feedback in Online Esp Classroom: Students' Perceptions Sibuea, Todo; Rahmawati, Irma
Edukasi Vol 12 No 01 (2025): Edukasi: Jurnal Pendidikan dan Pengajaran
Publisher : Universitas Islam Negeri Raden Fatah Palembang, South Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/8qrwqq35

Abstract

The current study investigates the types and focus of an EFL teacher’s corrective feedback and the students’ perceptions about their teacher’s feedback. This study adopts a mixed-method approach by combining quantitative and qualitative data to examine the teacher’s electronic asynchronous feedback. The data for this study were collected by conducting online observations of the teacher’s classes which were mediated by a Learning Management System (LMS), an online survey distributed to the course’s students and a semi-structured interview with selected participants. The respondents who filled out the survey were 17 undergraduate students from the communication department at a private university in Jakarta, Indonesia. The students took a mandatory English for Specific Purposes (ESP) course and participated in this study voluntarily. The findings revealed that the ESP teacher preferred providing direct and focused feedback in her online classes. The focus of her feedback was oriented toward the processes of learning and the levels of self-regulation. In terms of perception, the part-time students perceive the teacher’s direct and focused feedback as helpful in indicating their weak areas in L2 competency and appropriate for online courses.
AI-Generated Images of Chinese Indonesian Teenage Girls: A Multimodal Critical Discourse Analysis Manik, Juniati; Dinanti, Putri Ayienda; Sibuea, Todo
CARONG: Jurnal Pendidikan, Sosial dan Humaniora Vol. 3 No. 3 (2026): July, Emerging Issues in Education, Society, and Humanities.
Publisher : Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/hq9pke80

Abstract

K The advancement of Artificial Intelligence (AI) has significantly transformed digital media production, particularly through text-to-image generation systems that allow users to generate visual content based on textual prompts. However, this technology does not operate neutrally in producing social meanings. This research aims to unpack how AI represents ethnic identity, focusing specifically on the representation of Chinese-Indonesian teenage girls. Utilizing a qualitative approach, this study integrates Stuart Hall's theory of representation and Kress and van Leeuwen’s Multimodal Critical Discourse Analysis (MCDA). The primary data, consisting of 36 generated images, were collected from the Microsoft Designer platform using specific prompts: "Chinese Indonesian Teenage Girl". The analysis examines five visual elements: physical appearance, clothing, facial expressions, settings, and visual composition. The findings suggest that Chinese Indonesian teenage girls are socially constructed as individuals with attractive appearances and positive attitudes in AI-generated images through recurring multimodal representations that privilege particular physical, cultural, and social characteristics. These visual repetitions reflect how AI functions not merely as a technical tool, but as an algorithmic mediator that reproduces aesthetic conventions and dominant stereotypes within digital visual culture.