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Eko Risdianto
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Aktual : Jurnal Pengabdian Kepada Masyarakat
Published by CV Media Inti Teknologi
ISSN : -     EISSN : 29876052     DOI : https://doi.org/10.58723/aktual.v1i2.81
Core Subject : Health, Science, Education, Social, Engineering,
Computer Science & IT Education Engineering Environmental Science Public Health
Aktual: Jurnal Pengabdian Kepada Masyarakat with ISSN : 2987-6052 is a journal managed by CV Media Inti Teknologi. Publish articles on community service activities in the fields of : Social Science Education Sains Technology Sports Languages Economy and Bussiness Engineering Art Law Health Aviation etc.
Arjuna Subject : Umum - Umum
Articles 85 Documents
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Enhancing Junior High School Teachers’ English Vocabulary Competence through AI-Based Neo-Sorogan Learning Model Training Dewi Utari; Andi Kristanto; Husni Mubarok; Mujahidah Auliya Ihsani
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2026): Aktual: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v4i3.907

Abstract

Background: Rapid advances in digital technology and artificial intelligence (AI) are transforming the educational landscape, particularly at the junior high school level. This stage is crucial for developing students' critical thinking skills, fostering independent learning, and shaping their character. During this transitional phase of cognitive and social development, students need intensive mentorship, meaningful interactions, and learning experiences that accommodate diverse abilities and learning styles.Aims: This study aimed to better equip teachers to implement more personalized, effective, and meaningful English vocabulary learning experiences through the AI-based Neo-Sorogan model.  Ultimately, it aimed to enhance the quality of human resources in education and prepare them to address 21st-century challenges.Methods: A mixed-methods research design integrating quantitative and qualitative techniques was employed, using paired comparisons, a Likert scale, and descriptive statistics.Results: The study's results demonstrated a significant improvement in vocabulary skills, with pre-test scores averaging (M = 64.28, SD = 8.47) and post-test scores averaging (M = 78.63, SD = 7.21). The analysis yielded a t-value of -11.98 with 42 degrees of freedom (t(42) = -11.98, p < 0.001), indicating strong statistical significance and a robust effect size (d = 1.83). Furthermore, participant satisfaction was categorized as high.Conclusion: This study showed participants' enthusiasm improved understanding of the AI-based Neo-Sorogan model, focusing on individualized learning and interaction. They designed subject-specific activities and rated their satisfaction at an average of 4.59 out of 5, reflecting their increased willingness to implement AI strategies in the classroom.
From Community Service to Scientific Publication: Implementing an Output-Oriented Publication Mentoring Model Tri Hadi Sulistyanto; Widodo Hari Lusinto; Desi Ratnasari; Yazid Yazid; Indri Putri Utami; Fattah Firdaus
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2026): Aktual: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v4i3.875

Abstract

Background: Community Service Programs (KPPM) in higher education generate valuable community-based experiences and practical knowledge, but their outputs often remain limited to administrative reports rather than scientific publications. Publication mentoring can strengthen the academic value and dissemination of these activities.Aims: This program aimed to implement the Output-Oriented Publication Mentoring Model (OPPM) to transform community service activities into scientific articles and achieve targeted publication outputs.Methods: The program was implemented by the Institute for Research and Community Service (LPPM) of STIE WIKARA during the July 2026 KPPM program in 12 villages in Bojong District, Purwakarta Regency, Indonesia. Twenty-four undergraduate students were organized into 12 groups. OPPM consisted of five stages: orientation, topic mapping, journal alignment, guided writing, and digital progress monitoring. Each group developed one scientific article based on its community service activities and submitted it to an appropriate SINTA-indexed journal.Results: The program produced 12 scientific articles from 12 villages. All 12 articles were completed and submitted to SINTA 3 and SINTA 4 journals, achieving the targeted output of one submitted article per village. The web-based monitoring system supported continuous supervision, manuscript tracking, and timely feedback.Conclusion: OPPM provided a structured approach for integrating scientific article development and journal submission into community service programs. The completion and submission of 12 manuscripts demonstrate the model’s practical potential to transform field-based community service activities into measurable scholarly outputs at the manuscript-submission stage. These outcomes represent successful manuscript submission and should not be interpreted as journal acceptance or publication.
From AI Literacy to Editorial Capability: Evaluating Source-Grounded Generative AI Training for Campus Journalism Gushevinalti; Novia Putri Raudah; Muhammad Satria Colossal Utama
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2026): Aktual: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v4i3.921

Abstract

Background: Generative artificial intelligence (GenAI) is increasingly used in journalism, but evidence is limited on whether source-grounded training can strengthen student press capability while preserving verification and editorial judgment.Aims: To evaluate a hands-on NotebookLM training program for campus press representatives and assess immediate changes in knowledge, operational skills, concrete output production, quality, satisfaction, and implementation intentions.Methods: A one-day, single-group pre–post program evaluation involved 50 students from HIMA media units and university-level student press organizations at Universitas Bengkulu. Aggregate pre–post percentages, percentage-point changes, normalized gains, participation indicators, product completion, quality ratings, satisfaction, and implementation intentions were analyzed descriptively.Results: Mean knowledge-related indicator percentages increased from 47.0% to 88.4% (+41.4 percentage points), and operational skills increased from 23.0% to 88.4% (+65.4 points). All participants completed an editorial or research-oriented product; mean product quality was 4.33/5, satisfaction was 4.67/5, and 96% intended to use NotebookLM in routine research.Conclusion: Higher immediate assessment indicators and complete product production were observed after training. Uncertain measurement properties, the single-group design, and absent follow-up preclude causal conclusions and evidence of sustained newsroom productivity.
AI-Based Interactive Content Development through Activity-Based Training Design for Kindergarten Teachers: A Systematic Literature Review Fajar Arianto; Bachtiar Sjaiful Bachri; Nur Ainiyah; Anugrah Dwicahyandi Oktavian; Yuda Sakti Susena; Rico Eko Andrianto
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2026): Aktual: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v4i3.958

Abstract

Background: Artificial intelligence (AI) can expand teachers’ capacity to develop visual, multimodal, adaptive, and interactive learning content, but tool mastery alone does not ensure pedagogical competence. Recent reviews also indicate that teacher professional development (TPD) for AI remains less developed than research on AI applications for learners. In early childhood education (ECE), AI-supported content development must additionally address child development, safety, simplicity, and the balance between digital interaction and direct pedagogical interaction.Aims: This study synthesizes evidence on teacher competence, professional development design, training activities, and ECE-relevant considerations to formulate an AI-based Activity-Based Training Design (ABTD-AI) framework.Methods: Following PRISMA 2020, we searched five databases for literature published mainly from 2016 to 2026. Of 180 records, 20 duplicates were removed; 160 were screened, 60 full texts assessed, and 40 studies included in a thematic synthesis guided by four research questions and predefined criteria.Results: The findings show that AI-based content development requires integrated technological, pedagogical, subject-specific, AI-literacy, evaluation, and child-appropriate design competencies. Effective TPD combines contextualized practice, collaboration, feedback, reflection, and ongoing mentoring, while activity-based training should produce observable outputs that transfer to classroom practice. These principles inform the seven-stage ABTD-AI framework, linking AI co-creation and verification with practical training, product development, feedback, and mentoring.Conclusion: ABTD-AI is presented as an evidence-informed conceptual framework for designing and mentoring kindergarten teachers in AI-based interactive content development. Its effectiveness has not yet been established empirically and requires subsequent implementation research.
Optimization of Mobile LaTeX/TikZ for Computational Particle Motion Visualization Among Applied Statistics Students at UNBIM Alfi Maulani; Andri Sofyan Husein; Ari Mulyoto; Nur Fazryah Amaliska Rahmi; Uswatun Khasanah
Aktual: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2026): Aktual: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/aktual.v4i3.960

Abstract

Background: Optimizing mobile technology, such as mobile phones, for academic productivity offers a strategic opportunity to enhance data visualization skills within modern statistics education at the university level.Aims: This UNPAM community service activity aims to strengthen the advanced computing skills of partners-specificallystudents in the Applied Statistics Diploma III Program at Universitas Bima Internasional (UNBIM) as well as participants nationwide, through the hands-on implementation of the LaTeX/TikZ ecosystem using mobile devices such as smartphones.Methods: A one-group pre-test and post-test design was successfully conducted over approximately one month, utilizing Google Meet and WhatsApp; the program encompassed interactive lectures, hands-on mobile programming using the VerbTeX app, and programming-based simulation assignments guided by the founder of Psi Square.Results: This community service activity effectively empowered learners to practice TikZ/LaTeX syntax for modeling particle dynamics, ranging from deterministic kinematics to stochastic random walks. Quantitative evaluations showed that the participants’ mean technical proficiency score increased from 24.2% in the pre-test to 89.4% in the post-test.Conclusion: The integration of LaTeX/TikZ into mobile platforms as a learning model has proven effective and progressive, successfully expanding access to scientific computing and enriching mathematical and statistical data visualization tools in academic training.

Page 9 of 9 | Total Record : 85

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