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All Journal International Journal of Engagement and Empowerment (IJE2) Jurnal Syaikh Mudo Madlawan
Sutrisna, Endi
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Religion Humanities Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Social Sciences Other

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MODEL SUPERVISI DIGITAL DALAM MENINGKATKAN MUTU PEMBELAJARAN KODING DI SEKOLAH DASAR Sutrisna, Endi; Nurani, Dethia HS Suci; Wafa, Haerul; Sudaryono, Sudaryono
Jurnal Syaikh Mudo Madlawan: Kajian Ilmu - Ilmu Keislaman Vol. 3 No. 1 (2026): Jurnal Syaikh Mudo Madlawan
Publisher : LPPM IAI Dar Aswaja Rokan Hilir

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Abstract

Instruction in computer programming (coding) at the elementary school level faces several challenges, including limited teacher competence, lack of ongoing mentoring, and insufficient digital infrastructure. Conventional face-to-face academic supervision is often suboptimal due to low frequency and slow response times. This study aims to design and test a cloud-based digital supervision model to improve the quality of coding instruction in elementary schools. The research employed a research and development (R&D) approach using the ADDIE framework. Participants consisted of 15 fourth and fifth-grade teachers from four public elementary schools in Pandeglang Regency. The instruments included a coding instruction observation sheet, a teacher response questionnaire, and a learning quality assessment rubric. Data analysis techniques comprised descriptive statistics and paired t-tests. The resulting digital supervision model includes the following components: (1) planning through a learning management system (LMS), (2) observation using video recordings and real-time feedback, (3) collaborative reflection in online forums, and (4) rubric-based automated assessment. The trial results showed that the average score of coding instruction quality increased from 66.3 (sufficient category) to 86.8 (good category) after eight weeks of implementing the model (*p* < 0.001). Teacher responses were highly positive, with a mean score of 4.7 out of 5. The digital supervision model proved effective in overcoming geographical and temporal barriers, providing rapid feedback, and fostering collaboration among teachers. Nevertheless, challenges related to digital infrastructure and teachers' ICT literacy need to be anticipated. Digital supervision can serve as an alternative to improve the quality of coding instruction in elementary schools. Technical assistance training and the provision of an integrated platform are strongly recommended.
INTEGRATION OF PERSUASIVE COMMUNICATION AND ARTIFICIAL INTELLIGENCE FOR OPTIMIZING GLOBAL MARKET PENETRATION IN BIG BEE FARM AGRITOURISM, THAILAND Mutoharoh, Mutoharoh; Yusuf, Furtasan Ali; Hanafi, Syadely; Nuryati, Nuryati; Suparna, Dade; Nasrullah, Anton; Sutrisna, Endi; Marfuah, Marfuah; Queroda, Phillip G.
International Journal of Engagement and Empowerment (IJE2) Vol. 6 No. 1 (2026): International Journal of Engagement and Empowerment
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ije2.v6i1.263

Abstract

This study examines how the integration of persuasive communication and artificial intelligence (AI) in digital marketing can enhance the competitiveness of honey‑based agritourism micro, small, and medium enterprises (MSMEs), using Big Bee Farm in Thailand as a community‑service case. While previous work highlights the potential of AI‑driven marketing, few studies explicitly address how suggestive, story‑based communication strategies and human–technology collaboration shape MSME competitiveness in agritourism contexts, leaving a notable gap between technological adoption and strategic communication design. This study aimed to design and implement an integrated community‑service program that combined suggestive‑communication training, AI‑based digital marketing tools, and participatory mentoring to strengthen marketing capacity and global competitiveness. The activity employed a participatory, experiential‑learning design, involving farm managers, marketing staff, and tour guides, and applied qualitative and descriptive‑quantitative methods, including needs assessment, training modules, hands‑on AI workshops, mentoring, and pre‑post evaluations. The findings showed that participants improved their ability to craft persuasive, emotionally engaging messages, adopted AI tools for content generation, chatbot support, and market analysis, shifted from conventional to integrated, data‑driven promotion, and reported higher tourist engagement and sales potential. Theoretically, these results support a human‑centric perspective on digital transformation, where AI functions as an augmenting resource when aligned with strategic communication. Practically, the study provides a replicable model for community‑service programs seeking to strengthen MSME competitiveness through a holistic integration of technology, communication, and collaboration.
Co-Authors Anton Nasrullah, Anton Furtasan Ali Yusuf Hanafi, Syadely Marfuah Marfuah Mutoharoh, Mutoharoh Nurani, Dethia HS Suci Nuryati Nuryati Queroda, Phillip G. Sudaryono Sudaryono Suparna, Dade Wafa, Haerul