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All Journal JOIV : International Journal on Informatics Visualization Jurnal Teknologi Informasi dan Pendidikan Jurnal Vokasi Informatika (JAVIT) Journal of Education Transportation and Business
Sukmawati, Murni
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Transportation

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Journal : JOIV : International Journal on Informatics Visualization

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Canva-based Animation Comic Video Media in Informatics Learning at SMP Negeri 14 Padang Huda, Asrul; Sari, Liza Mustika; Effendi, Hansi; Giatman, Muhammad; Firdaus, -; Sukmawati, Murni
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.3177

Abstract

This research addresses challenges in conventional learning media, limited facilities, and suboptimal use of technology, which hinder student material mastery, motivation, and independence. The study aims to develop and validate Canva-based animated comic video learning media for Informatics subjects in class VIII at SMP N 14 Padang. Using the Research and Development (R&D) method with a 4D development model—define, design, develop, disseminate—primary data were collected from validators, teachers, and students. Descriptive and inferential analyses were employed to evaluate the validity and practicality of the media. The learning media achieved high validity scores: 0.963 for media design and 0.975 for material content. Expert evaluations highlighted the media’s effective visual design, systematic content presentation, and alignment with curriculum objectives. Practicality was confirmed with average scores of 97.04% from teachers and 93.14% from students, who appreciated its ease of use, accessibility across devices, and engaging, interactive features that support both independent and collaborative learning. This study underscores the importance of integrating technology into learning media to enhance education quality. Canva-based animated comic videos are not only applicable to Informatics but also have potential for adaptation to other subjects. The combination of visual, audio, and interactive elements fosters engaging, flexible, and impactful learning experiences for students. Future research could explore AI integration for personalized learning and broader testing across diverse student groups and subjects. This research provides a foundation for developing innovative, accessible, and inclusive technology-based learning tools to improve education quality in the digital era.
Optimizing Educational Assessment: The Practicality of Computer Adaptive Testing (CAT) with an Item Response Theory (IRT) Approach Huda, Asrul; Firdaus, Firdaus; Irfan, Dedy; Hendriyani, Yeka; Almasri, Almasri; Sukmawati, Murni
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.2217

Abstract

This research aims to develop a Computer Adaptive Test (CAT) system using the Items Response Theory (IRT) approach. This study is part of developing a web-based system using the Research and Development (R&D) method, employing the Four-D (4-D) model. At its core, this system is similar to a Computer-Based Test (CBT). Still, the critical difference lies in its ability to randomize and provide questions that align with the test-taker's skill levels using the Items Response Theory (IRT) algorithm. The system employs the 3-PL model from the Items Response Theory, considering the difficulty level of questions, the discriminative power of questions, and the likelihood of guessing or interference in the questions. The examination system randomly assigns questions to students based on their responses to previous questions, ensuring that each test-taker receives a unique question sequence. The exam concludes when a test-taker accurately estimates their ability, i.e., SE <= 0.01, or when all questions have been answered. The outcome of this research is a Computer Adaptive Test (CAT) system based on the Items Response Theory (IRT), which can be used to assess students' learning outcomes. This research was implemented in the Multimedia Department of SMK Negeri 1 Gunung Talang, with 90 students as the research sample. The evaluation of the practicality of this system received very high scores, indicating that the Computer Adaptive Test (CAT) system based on the Items Response Theory (IRT) is considered highly practical and effective in achieving the established measurement goals.
Co-Authors Agustian, Raihan Almasri Almasri Ambiyar, Ambiyar Chasovy, Aulya Dedy Irfan Delsi, Neliyanti Fadhilah Fadhilah Fauzan, Mhd Akmal Fazrina, Laysa Firdaus Firdaus Firdaus, - Frialdo, Dol Hansi Effendi Hasan Maksum Huda, Asrul Irfan, Dedi Ismayanti, Silvi Maria Ulfa Ningrum, Evi Wulan Nurfajiani, Nurfajiani Nurlaili Nurlaili Nursyafti, Yolana Putri, Yuliana Aulia Rahmasari, Sofia Ritonga, Supardi Rohayu, Rohayu RR. Ella Evrita Hestiandari Santika, Vera Sari, Liza Mustika Sembiring, Rinawati Shiharudin, Syapik Yeka Hendriyani