Aktual: Jurnal Pengabdian Kepada Masyarakat

Enhancing Junior High School Teachers’ English Vocabulary Competence through AI-Based Neo-Sorogan Learning Model Training

2026-09-18T09:10:33+07:00

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.

Empowering Environmental and School Facilities Management at SMP Negeri 4 Siak Hulu through the Implementation and Mentoring of Internet of Things (IoT) Technology

2026-09-18T09:17:38+07:00

Background: SMP Negeri 4 Siak Hulu faced difficulties in monitoring classroom environmental conditions and managing classroom facilities due to the absence of an integrated monitoring and control mechanism. This program addressed these challenges through the implementation and mentoring of an Internet of Things (IoT)-based Smart Classroom system.
Aims: This program aimed to improve teachers' and school personnel's knowledge and practical skills in environmental monitoring and lighting control using an IoT-based Smart Classroom system.
Methods: The program consisted of four stages: situation analysis, system preparation, training and mentoring, and evaluation. The system employed an ESP8266 microcontroller with DHT11, LDR, and PIR sensors, a relay module, a 16×2 LCD, and an Android application developed using Kodular for environmental monitoring and lighting control. Evaluation involved 19 participants using a 14-item pre-test and post-test, complemented by observations of participants' basic system operation after mentoring.
Results: The mean score increased from 81.95% to 95.86%, representing a descriptive increase of 13.91 percentage points. The minimum score increased from 50.00% to 85.71%, while the maximum remained 100.00%. Thirteen participants (68.42%) increased their scores, 6 (31.58%) maintained the same scores, and none decreased. All 19 participants were observed performing basic operating procedures independently after mentoring.
Conclusion: The program was associated with improved participant knowledge and demonstrated basic independent operation of the implemented IoT-based Smart Classroom system. Long-term knowledge retention, system utilization, energy savings, and maintenance performance were not evaluated.

Integrated Family Education on Complementary Feeding, Handwashing, and Household Sanitation for Stunting Prevention

2026-09-16T19:11:21+07:00

Background: Stunting reflects interacting nutritional, infectious, environmental, socioeconomic, and caregiving pathways. In Toriyo Village, program records identified 266 mothers with children under five and 22 children with stunting.
Aims: To describe an integrated family education program on complementary feeding, handwashing with soap, and household sanitation and to report participants’ post-education knowledge and attitude profiles.
Methods: The program was conducted on 16 May 2026 with 12 mothers who attended after mobilization by village partners and community health cadres; no probability sampling or formal sample-size calculation was used. Education covered stunting and the first 1,000 days of life, age-appropriate complementary feeding, nutrient-dense local foods, handwashing, feeding-utensil hygiene, safe drinking water, and household sanitation. Knowledge was measured with 10 true-or-false items (0–100) and attitude with 10 four-point Likert items (10–40). Psychometric estimates were exploratory because n = 12.
Results: Mothers were aged 21–42 years (31.58 ± 6.13); 75.0% had completed senior high school and 75.0% were homemakers. Knowledge scores ranged from 70–100 (92.50 ± 12.15; median 100), and attitude scores ranged from 30–40 (34.83 ± 4.00; median 35). Cronbach’s alpha was 0.536 for knowledge and 0.932 for attitude.
Conclusion: The program integrated three household prevention domains and produced reusable media for cadres. The post-education scores describe activity participants only; without baseline measurement and with an attendance-based sample of 12, they do not demonstrate improvement, effectiveness, or population-level effects.

Unlocking Nigeria's Agricultural Export Potential: Macroeconomic Determinants, Environmental Sustainability, and Gender Dynamics Under the SDG Framework

2026-06-22T14:26:51+07:00

Background: Agricultural export capability is vital for developing economies, yet Nigeria's shift toward petroleum has left its rural sector structurally underdeveloped and vulnerable.
Aims: This study investigates the key determinants of Nigeria's agricultural export performance, focusing on agricultural land availability, foreign direct investment, GDP growth, domestic crop production, exchange rates, and female agricultural employment.
Methods: Utilizing annual time-series data from 1990 to 2023, the study evaluates short- and long-run dynamics using the Autoregressive Distributed Lag (ARDL) model combined with the Residual Augmented Least Squares–Engle Granger (RALS-EG) cointegration approach.
Result: In the long run, agricultural land expansion, FDI inflows, and exchange rates positively impact export volumes, whereas GDP growth, domestic crop production indices, and female agricultural employment show negative effects. In the short run, land use and crop production enhance exports, while exchange rate volatility and GDP growth exert negative pressures. The findings reveal that output increases do not automatically translate to export growth due to domestic food demand and supply chain inefficiencies, while structural and resource barriers hinder the export contribution of female labor.
Conclusion: Policymakers must look beyond purely output-driven initiatives. Achieving sustainable agricultural export growth requires targeted investments in post-harvest rural infrastructure, macroeconomic and financial stability, and gender-equitable access to agricultural resources and extension services.

Comparative Effect of Cognitive-Perceptual Training on Cognitive Performance Across Playing Positions in Football

2026-09-22T18:39:29+07:00

Background: Football performance relies on cognitive-perceptual abilities that vary by playing position, yet evidence on position-specific cognitive-perceptual training is limited.
Aims: This study investigated the comparative effect of cognitive-perceptual training on cognitive performance among university-level football players across different playing positions.
Methods: Sixty male football players (18-25 years) were categorized as forwards (n = 20), midfielders (n = 20) and defenders (n = 20). Participants completed an eight-week cognitive–perceptual training program using the Vienna Test System. Reaction Speed, decision-making (Cognitrone) and Peripheral Perception were assessed using a pre–post design. Data were analyzed using mixed-design ANOVA.
Result: Cognitrone scores showed a significant main effect of playing position (F(2,57) = 5.17, p =.009, η² =.15). Pre-post changes in Cognitrone scores varied among playing positions, according to the significant Time × Position interaction (F(2,57) = 3.41, p =.040, ηp² =.10). Follow-up comparisons are necessary to identify which positional groups differed considerably, even though midfielders displayed the biggest descriptive mean gain. Peripheral perception (p =.308) and reaction speed (p =.192) did not exhibit significant interactions.
Conclusion: Significant pre-post alterations in cognitive-perceptual performance were found, and Cognitrone scores revealed positional variation. Without suitable follow-up comparisons, the results do not demonstrate better improvement among midfielders, despite the fact that midfielders displayed the largest descriptive gain. The observed changes cannot be exclusively attributed to the training program because the study did not include a non-intervention control group.

From Community Service to Scientific Publication: Implementing an Output-Oriented Publication Mentoring Model

2026-09-05T22:10:49+07:00

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.

AI-Based Interactive Content Development through Activity-Based Training Design for Kindergarten Teachers: A Systematic Literature Review

2026-09-19T22:46:19+07:00

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.

From AI Literacy to Editorial Capability: Evaluating Source-Grounded Generative AI Training for Campus Journalism

2026-09-28T11:55:17+07:00

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.

Strengthening Financial Management of OK OCE-Supported MSMEs to Enhance Business Sustainability

2026-09-05T22:19:16+07:00

Background: Micro, Small, and Medium Enterprises (MSMEs) play an important role in local economic development and employment creation, yet many face financial management challenges that may hinder effective business management and long-term sustainability.
Aims: This Community Service Program aimed to strengthen the financial management capacity of OK OCE-supported MSMEs through practical training and mentoring in simple bookkeeping, cash flow management, financial planning, and the separation of personal and business finances.
Methods: The program involved 30 MSME participants and employed a participatory approach consisting of needs assessment, pre-test, financial management training, contextual practical exercises, direct mentoring, discussion and consultation, post-test, and follow-up evaluation. Program outcomes were assessed by comparing pre-test and post-test scores across five financial management indicators.
Results: Participants demonstrated an average immediate post-program improvement of 41.6 percentage points across the five indicators, with improvements ranging from 40 to 43 percentage points. The greatest improvement was observed in simple budgeting, which increased from 35% to 78% (+43 percentage points).
Conclusion: The training and mentoring program was associated with immediate improvements in participants’ understanding of basic financial management, particularly in financial recording, cash flow management, budgeting, separation of personal and business finances, and the use of financial information for decision-making. These improvements provide a foundation for more structured financial management practices, while their longer-term contribution to business resilience and sustainability requires further follow-up evaluation.

Optimization of Mobile LaTeX/TikZ for Computational Particle Motion Visualization Among Applied Statistics Students at UNBIM

2026-09-21T15:19:16+07:00

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.