Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal Indonesian Journal of Community Engagement Journal Innovation in Information and Computer Technology
Andri Saputra
Institut Teknologi dan Bisnis Bina Sriwijaya Palembang, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Implementation of Canva Training to Improve Digital Design Skills of Students and Teachers at SMA Nusa Bangsa Palembang Muh Ridho Ardiansyah; Amelia Anggraini; Indah Rahma Sari; Andri Saputra; Mahmud
Indonesian Journal of Community Engagement Vol. 3 No. 2 (2026): (May) Indonesian Journal of Community Engagement
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/ijce.v3i2.135

Abstract

The development of digital technology requires students and teachers to have digital design skills that can support learning activities, school publication, and visual communication. Canva is one of the design platforms that is easy for beginners to use because it provides templates, visual elements, text editing features, color arrangement tools, and design export options. This activity aimed to improve the digital design skills of students and teachers at SMA Nusa Bangsa Palembang through practice-based Canva training. The method used a descriptive community service approach consisting of preparation, Canva introduction, poster design demonstration, participant practice, mentoring, poster output review, and reflection. The training was conducted at SMA Nusa Bangsa Palembang and involved students and teachers as participants. The training materials focused on creating school activity posters using Canva, including template selection, text editing, adding design elements, arranging color composition, and downloading the final design. The results showed that participants were able to follow the training process and produce a school activity poster containing important information such as the activity title, schedule, requirements, contact information, and supporting visual elements. This activity provided practical experience for participants in creating school publication media that were neater, more attractive, and more communicative. Therefore, Canva training can be considered a simple and applicable strategy to improve students’ and teachers’ digital design skills in the school environment.
Design of Augmented Reality Learning Media with AI Chatbot Support for Computer Network Learning Muhammad Ridho Ardiansyah; Andri Saputra; Md. Ruhul Amin
Journal Innovation in Information and Computer Technology Vol. 3 No. 2 (2026): (May) Journal Innovation in Information and Computer Technology (JICTECH)
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/jictech.v3i2.123

Abstract

Computer network learning often involves abstract concepts, invisible data flows, and physical devices that are not always available in the classroom. This condition can make it difficult for beginner students to understand network devices, topology structures, and basic communication processes. This study aims to design augmented reality learning media with AI chatbot support for computer network learning. The research used a research and development approach adapted from the Multimedia Development Life Cycle (MDLC), consisting of concept, design, material collecting, assembly, testing, and distribution stages. The developed media integrates AR visualization, learning materials, and chatbot-based assistance in one learning environment. The AR feature presents three-dimensional models of network devices and topology structures, while the AI chatbot provides simple explanations and guidance related to computer network concepts. Functional testing was conducted to ensure that the main features operated according to the expected results, including the main menu, learning material page, AR object display, topology visualization, AI chatbot interaction, instruction menu, and navigation buttons. User response evaluation was also conducted using a Likert-scale questionnaire involving 20 students. The results showed that all main features worked properly, and the user response evaluation obtained an average score of 85.2%, categorized as Very Good. These findings indicate that the developed media is feasible as a supporting tool for computer network learning. The integration of AR visualization and AI chatbot support can help students learn more independently, understand network concepts more clearly, and receive immediate learning assistance. Future development may focus on improving AR object optimization, expanding chatbot knowledge, and testing the media’s effectiveness on students’ learning outcomes.
Co-Authors Amelia Anggraini Indah Rahma Sari Mahmud Md. Ruhul Amin Muh Ridho Ardiansyah