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All Journal Jurnal Pendidikan Indonesia Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal International Inspire Education Technology (JIIET)
Muhammad Giatman
Unknown Affiliation
Computer Science & IT Education Engineering Social Sciences

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E-Learning is Effectively Used for Leadership Courses at Metamedia Universities Maulana, Ilham Tri; Muhammad Giatman; Hasan Maksum
Journal International Inspire Education Technology Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiiet.v3i1.576

Abstract

This development research aims to develop learning media (E-Learning) in all courses at Metamedia University. E-Learning is designed to improve student learning outcomes, so students can fully understand the material provided. This study uses the Instructional Development Institute development method. IDI procedures are defining, developing, and evaluating. The type of data is primary data where the data obtained from media experts, lecturers and students. Data were analysed using Descriptive Data Analysis Techniques which describe the validity, practicality, and effectiveness of using E-Learning. The results obtained from this research and development are as follows; (1) The validity of E-Learning is stated to be very valid in terms of content and interest with a total validity value of 84.54%, while the design aspect is stated to be valid with a total value of 85.55% (2) The practicality of E-Learning is based on the lecturer's response after through validation is stated to be quite practical with a total score of 76%, while the practicality of E-learning based on student responses after going through validation is stated to be practical with a total score of 84.12% (3) The effectiveness of E-Learning is effective in improving student learning outcomes as indicated by the number of students who has passed the Minimum Completeness Criteria (87.42%). Based on the findings of this study, it was concluded that E-Learning is valid, practical and effective for use as a learning medium
E-Module Media Based on Flip Book Maker in the Basic Hair Trimming Course Intan Witari; Rahmiati; Linda Rosalina; Muhammad Giatman
Jurnal Pendidikan Indonesia Vol 13 No 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpiundiksha.v13i3.83252

Abstract

The use of conventional learning methods is still less than optimal in attracting students' interest in technical practical material. The Flip Book Maker-based e-Module is expected to be an effective solution because it is able to combine multimedia elements, such as text, images, video and animation, which are presented interactively. This media not only increases student attraction and engagement, but also provides easy access and flexibility in the learning process. The main objective of this research is to develop and test the effectiveness of Flip Book Maker-based E-Module learning media in the Basic Hair Trimming course. This type of research is descriptive qualitative. This research focuses on developing a Flip Book Maker-based E-Module for the Basic Hair Trimming course using the Instructional Development Institute (IDI) model. The IDI model involves three stages: define, develop, and evaluate, ensuring a systematic approach to meeting educational needs. The data analysis method used is descriptive qualitative. The main results of this research show that the use of E-Module media based on Flip Book Maker in the Basic Hair Trimming course significantly improves the quality of learning. Based on effectiveness tests, students who use this E-Module show a better understanding of the material compared to conventional learning methods. Student learning outcomes increase, especially in aspects of technical skills and understanding complex hair trimming procedures. The implications of this research can be an innovative and effective alternative learning media in improving the quality of skills education.
A Novel Framework for Dynamic Semantic Network Analysis with Evolutionary Community Detection Applied to LMS Research Anip Febtriko; Muhammad Giatman; Irfan, Dedy; Syafrijon, Syafrijon; Tri Rahayuningsih
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April - In progress
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7250

Abstract

The rapid proliferation of Learning Management Systems (LMS) in K–12 education has generated a substantial body of research, yet how its core themes emerge, converge, and transform over time remains insufficiently understood. Existing bibliometric and topic modeling approaches produce static snapshots of the literature, structurally incapable of capturing the dynamic epistemic processes through which research communities form and evolve. This study introduces Dynamic Semantic Network Analysis with Evolutionary Community Detection (DSNA-ECD), a novel computational framework that conceptualizes the K–12 LMS research field as a living epistemic system — a conceptual reframing that constitutes a distinct contribution to the K–12 LMS literature beyond prior static approaches. DSNA-ECD integrates three methodologically principled components: transformer-based semantic embeddings via Sentence-BERT (`all-MiniLM-L6-v2`), selected for its capacity to capture latent semantic proximity beyond lexical co-occurrence; a hybrid weighting scheme empirically calibrated to balance structural and semantic network signals; and the Leiden algorithm for community detection, preferred over Louvain for its theoretical guarantee of well-connected partitions and superior modularity optimization. Applied to a two-decade corpus of K–12 LMS publications, findings reveal a maturing field progressing from exploratory fragmentation through consolidation toward sophisticated integration of AI-enhanced adaptive systems and learning analytics. Compared to co-citation analysis, LDA topic modeling, and static semantic networks, DSNA-ECD uniquely offers semantic depth, guaranteed community coherence, calibrated hybrid weighting, and full cross-temporal trajectory tracking. Critically, findings reveal urgent underrepresentation of equity, algorithmic transparency, and ethical deployment research as AI-enhanced LMS systems proliferate, with direct implications for researchers, educational technologists, and policymakers.
Co-Authors ANIP FEBTRIKO Dedy Irfan Hasan Maksum Ilham Tri Maulana Intan Witari Rahmiati Rosalina, Linda Syafrijon, Syafrijon Tri Rahayuningsih