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Ana Tsalitsatun Ni'mah
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Program Studi Pendidikan Informatika Universitas Trunojoyo Madura Jl.Raya Telang Kamal, Bangkalan, 69192, Jawa Timur Telp. (031) 30127924
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Jurnal Ilmiah Edutic : Pendidikan dan Informatika
Published by Universitas Trunojoyo Madura
ISSN : 24074489     EISSN : 25287303     DOI : https://doi.org/10.21107/edutic
Core Subject : Science, Education,
Computer Science & IT Education
Jurnal Ilmiah Edutic Pendidikan dan Informatika is a journal published by the Informatics Education Study Program, Universitas Trunojoyo Madura. Eductic contains publications on the results of thoughts and research in the field of education and information technology. Eductic is published twice a year, namely in May and November. FOCUS & SCOPE Edutic scientific journals focus, but are not limited to, articles within the scope of Education and Informatics. Therefore Edutic will only process and publish articles submitted in the areas of: Informatics Education (E-Learning, Multimedia Education, Vocational Learning Media, Vocational Education Psychology, Vocational Learning Strategies, Vocational Learning Theory, Vocational Learning Models, Vocational Learning Methods, Vocational Teaching Approaches, Vocational Learning Evaluation, Vocational Learning Planning). Informatics (Information Systems, Data Mining, Computer Networks, Database Systems, Electronics, Image Processing, Gaming Technology, Artificial Intelligence, Information Retrieval Systems)
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 3 Documents
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Search results for , issue "vol 13, no 2: 2026 in progress" : 3 Documents clear
Development of Interactive Learning Multimedia Based on Articulate Storyline in Mathematics for Grade VIII at SMP YPI Batumarta II Sri Febriani; Yamanto Isa; Heni Rita Susila
EDUTIC Vol 13, No 2: 2026 In Progress
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i2.34597

Abstract

This study aims to develop interactive learning multimedia based on Articulate Storyline in mathematics for the topic of linear equations in one variable, which will be developed in Grade VIII of SMP YPI Batumarta II. The research method used is Research and Development (RD) with the ADDIE development model, which includes the stages of analysis, design, development, implementation, and evaluation. Data collection techniques were carried out through observation, interviews, expert validation questionnaires, and student response questionnaires. The developed product was validated by experts. Furthermore, the product was tested through individual trials involving three students, small group trials involving nine students, and field trials involving thirty-six students. The results of the study show that the Articulate Storyline-based interactive learning multimedia obtained a material expert validation result of 96.2% in the “very good” category, a learning design expert result of 83.7% in the “good” category, and a media expert result of 85.1% in the “good” category. The results of the individual trial obtained a percentage of 90.2%, the small group trial 87.3%, and the field trial 88.2%, all in the “very good” category. These results indicate that the Articulate Storyline-based interactive learning multimedia is easy to use, engaging, and helps students learn mathematics.
Development of a Web-Based Interactive Learning Media to Improve Students' Conceptual Understanding of Subnetting through Flipped Classroom Dzulfikri Najmul Falah; Enjang Ali Nurdin; Yogi Prasetyo
EDUTIC Vol 13, No 2: 2026 In Progress
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i2.34695

Abstract

Subnetting is a challenging topic for vocational students because it requires understanding both network concepts and step-by-step calculation procedures. This study developed NetLearn, a web-based interactive learning media designed to support subnetting learning through structured learning paths, micro-learning content, visual explanations, gamification, and interactive CIDR, FLSM, and VLSM simulations within a Flipped Classroom setting. The novelty of NetLearn lies in the integration of these features into a single web-based platform specifically designed for vocational subnetting instruction. The research applied the ADDIE development model and involved 32 eleventh-grade Computer and Network Engineering students at a vocational high school in Bandung. Media feasibility was examined using the Learning Object Review Instrument, while students’ conceptual understanding was measured through equivalent pretest and posttest instruments. The collected data were analyzed using the Shapiro-Wilk normality test, Paired Sample T-Test, and Normalized Gain. Expert validation produced a feasibility score of 87.06%, placing the media in the highly feasible category. The implementation results indicated a significant improvement in students’ scores after using the developed media, with an average N-Gain score of 0.31 in the moderate category. These findings suggest that combining structured learning paths, interactive subnetting simulations, and Flipped Classroom activities can support students in learning subnetting in a more visual, guided, and interactive way. However, the findings should be interpreted with caution because the study used a one-group pretest-posttest design without a control group.
Designing Explainable and Actionable AI for At-Risk Students: A Learning Analytics Design Science Approach Sahrul Amin; Vera Irma Delianti
EDUTIC Vol 13, No 2: 2026 In Progress
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v13i2.34751

Abstract

The increasing adoption of Learning Management Systems (LMS) in higher education generates learning traces that can support early detection of at-risk students. However, many academic early warning systems still present risk scores without explaining risk drivers or translating them into feasible instructor actions. This study designs an explainable and actionable artificial intelligence framework using a Design Science Research approach. The artifact integrates LMS data, learning feature engineering, risk prediction, SHAP-based explanation, constrained Large Language Model-based recommendation, and human-in-the-loop validation. Its novelty lies in connecting prediction, explanation, pedagogical recommendation, instructor validation, and post-intervention feedback within one ethically constrained Learning Analytics workflow. The design outputs include requirements, input-process-output architecture, risk-threshold logic, SHAP-LLM workflow, intervention taxonomy, recommendation template, and evaluation roadmap. The framework remains conceptual; future studies should instantiate it with real LMS data and evaluate predictive performance, explanation quality, recommendation usefulness, fairness, usability, and intervention impact.

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