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The Creative Economy-Based Advertising Language Yustinah Yustinah; Jumai Jumai
Eduvest - Journal of Universal Studies Vol. 5 No. 2 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i2.44705

Abstract

This research took the theme of Creative Economy-based Advertisement Language of Economy Faculty at Universitas Muhammadiyah Semarang. This research analyzed the implementation of creative economy-based advertisement language. The research subjects were 165 students at the Economy Faculty of Universitas Muhammadiyah Semarang. Of all students, 91 students were from the undergraduate management program, 55 students from the undergraduate accounting program, 12 students from the non-regular management program, and 12 students from the non-regular accounting program. This descriptive research took the data by filling the instrument via Google form. The results showed the planning aspect with 52.47%, the implementation aspect with 53.6%, evaluation aspect with 53.3%. The results found the creative economy-based advertisement language at the faculty reached a percentage of 53.9%. The result indicated the balance between planning, implementing, and evaluating. The results were useful for the students in their complementary courses and learn autonomously.
Enhancing Digital Literacy and Speaking Skills of Students Based on Artificial Intelligence Through Deep Learning Yustinah Yustinah; Bambang Hartono
Asian Journal of Social and Humanities Vol. 4 No. 4 (2026): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v4i4.670

Abstract

The enhancement of AI-based digital literacy and speaking skills among students through deep learning represents a strategic realization of digital transformation across all sectors, including higher education. This development is examined through a structured framework comprising (1) introduction, (2) objectives, (3) implementation, (4) procedural steps, (5) materials, (6) references, and (7) assessment and final evaluation. The research subjects consisted of 840 students enrolled in the Indonesian Language course, distributed as follows: 71 from Public Health A, 63 from Public Health B, 76 from Public Health C, 235 from Undergraduate Medicine, 67 from Nutrition A, 64 from Nutrition B, 59 from Dentistry A, 46 from Dentistry B, 30 from Nursing A, 35 from Nursing B, 24 from Informatics A, 22 from Informatics B, 24 from Informatics C, 8 from Informatics D, and 16 from Informatics E. Data were collected via Google Forms. The results indicate that improvements in AI-based digital literacy and speaking skills through deep learning were executed with a balanced distribution across planning (38.93%), implementation (54.81%), and evaluation (45.45%). These findings demonstrate a significant equilibrium between knowledge and skills, as well as between theory and practice, in advancing students' AI-based digital literacy and oral communication competencies through deep learning.