Claim Missing Document
Check
Articles

Found 22 Documents
Search

Implementation of Deep Learning in The Kurikulum Merdeka using AI as An Innovative Learning Companion for The Yos Tech Community Susilowati, Meme; Nurwegiono, Muhammad; Wilujeng, Lilis Lestari
Journal of Community Practice and Social Welfare Vol. 5 No. 2 (2025): Journal of Community Practice and Social Welfare
Publisher : LPPM Universitas Ma Chung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33479/jacips.2025.5.2.63-73

Abstract

The rapid growth of information and communication technology has reshaped educational practices and supported the implementation of Indonesia’s Independent Curriculum (Kurikulum Merdeka), which emphasizes a deep learning approach. However, many schools still struggle to integrate technology and Artificial Intelligence (AI) meaningfully into classroom practice. This community service program was conducted at SDK Yos Sudarso Kepanjen to strengthen teachers’ and students’ technological literacy and to apply deep learning principles using AI-based tools. The program adopted the Information System Project Management framework, comprising five stages: initiating, planning, execution, monitoring and controlling, and closing. Activities included a needs analysis, the development of training modules, online Training of Trainers (TOT) for student facilitators, four onsite training sessions for teachers and students, a digital product showcase, and ongoing evaluation. The program involved 22 students (grades IV–V) and six teachers over an eight-month period. Pre- and post-training questionnaires indicated a 35% increase in digital skills and a 42% rise in student learning motivation. Teachers became more confident in utilizing tools such as Canva and ChatGPT, while students showed greater engagement and creativity in technology-supported learning tasks. The revitalized YosTech club emerged as a school-based digital learning community that fosters 21st-century skills. The findings suggest that structured AI-supported training can effectively bridge the gap between policy expectations of deep learning and actual practice at the elementary school level.
Desain User Interface ‘Disaster Spatial Learning Global Partnership’ Lauw, Aaron Christoperus Prayogo; Susilowati, Meme; Handoyo, Budi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2001

Abstract

This article presents the design of the User Interface (UI) for the DSL Global Partnership (DSLGP) system, a Web-GIS–based educational platform developed to support disaster literacy and digital learning. The study focuses on translating the Software Requirements Specification into structured UI components, including the Home page, role-based dashboards, and key transactional workflows such as guest registration, assessment distribution, resource validation, and data import operations. The UI is designed using a user-centered approach, emphasizing clarity, accessibility, and role separation to ensure intuitive navigation for research teams, teachers, students, administrators, and public users. This work provides a concise and systematic overview of the UI structure that can guide subsequent implementation and evaluation stages within the DSLGP development cycle.