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All Journal International Journal of Engagement and Empowerment (IJE2) Indonesian Collaboration Journal of Community Services (ICJCS)
M. Syadeli Hanafi
Universitas Bina Bangsa
Humanities Education Environmental Science Social Sciences Other

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PELATIHAN SISTEM MONITORING MUTU REAL TIME: VISUALISASI BIG DATA SPMI BERBASIS CLOUD SEBAGAI STRATEGI MITIGASI PENURUNAN STATUS AKREDITASI DI SDN PONTANG KABUPATEN SERANG Nuryati Nuryati; M. Syadeli Hanafi; Dewi Surani; Minhatul Maarif; Harry Budiman; Baehaki Baehaki; Ifa Hafiroh; Atikah Atikah; Minarti A; Anton Nasrullah
Indonesian Collaboration Journal of Community Services (ICJCS) Vol. 6 No. 1 (2026): Indonesian Collaboration Journal of Community Services
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/icjcs.v6i1.243

Abstract

This community service activity aimed to improve the quality management system at SDN Pontang, Serang Regency through training on a cloud-based real-time quality monitoring system integrated with SPMI big data visualization. The activity was conducted in December 2025 using participatory methods consisting of observation, training, mentoring, implementation, and evaluation stages. Participants included school principals, teachers, school operators, and internal quality assurance teams. The training materials covered cloud computing, educational big data management, dashboard utilization, and real-time quality monitoring. The results showed significant improvements in participants’ digital competencies, especially in operating cloud-based quality dashboards, managing school quality data, and conducting data-driven evaluations. The implementation of the system also increased the effectiveness of quality monitoring, accelerated access to accreditation documents, and strengthened a sustainable data-based quality culture in schools. Furthermore, the cloud-based monitoring system enabled schools to identify declining quality indicators early and implement mitigation strategies systematically. This activity demonstrates that integrating cloud technology and SPMI big data visualization can serve as an innovative strategy to support accreditation readiness and improve educational quality management in elementary schools during the digital transformation era.
SHE-AI PRENEUR: EMPOWERING WOMEN MSME ENTREPRENEURS THROUGH ARTIFICIAL INTELLIGENCE TRAINING FOR DIGITAL MARKETING AND SUSTAINABLE BUSINESS NETWORKING Mutoharoh Mutoharoh; M. Syadeli Hanafi; Dethia Hs Suci Nurani; Ramdan Ramdan; Anton Nasrullah; Sasithorn Suwandee
International Journal of Engagement and Empowerment (IJE2) Vol. 5 No. 1 (2025): 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.v5i1.275

Abstract

Digital transformation presents opportunities for womenled micro, small, and medium enterprises (MSMEs) but persistent gaps in AI literacy and networked collaboration limit their competitiveness. Prior empowerment programs emphasized basic digital skills without integrating Artificial Intelligence (AI) as a core marketing instrument or fostering sustainable business networks. This study evaluated the SHEAI Preneur intervention designed to increase AI literacy, AIbased digital marketing competence, content production quality, and business networking among women MSME entrepreneurs in Serang Regency, Indonesia. A threemonth participatory program was implemented with 30 purposively sampled women entrepreneurs; the mixedmethods evaluation employed pre and posttests, structured surveys, observation checklists, semistructured interviews, and activity documentation. Quantitative data were analyzed using descriptive statistics and percentage change of competency scores, while qualitative data underwent thematic analysis. The results showed marked improvements across all measured domains: AI literacy, digital marketing skills, content creation, and business networking increased substantially after the intervention, attendance and engagement rates were high, and participants produced AIgenerated promotional materials independently. The program also yielded emergent collaborative practices and a sustained digital community for ongoing exchange. Theoretically, the study advances empowerment and digital transformation frameworks by demonstrating how practicebased AI training plus mentoring and network formation convert digital skills into applied entrepreneurial capacity. Practically, the SHEAI Preneur model offers a scalable template for inclusive AI adoption among women MSMEs, with implications for policy, incubator design, and future longitudinal impact assessments.
Co-Authors Anton Nasrullah, Anton Atikah Atikah Baehaki Baehaki Dethia HS Suci Nurani Harry Budiman Ifa Hafiroh Minarti A Minhatul Maarif Mutoharoh Mutoharoh Nuryati Nuryati Ramdan Ramdan Sasithorn Suwandee Surani, Dewi