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Edukasi Kesehatan tentang Virus Covid-19 pada Masa Pandemi oleh Pengajian Shollihah dan Rumah Cinta Quran Fafifa Nurul Adha Oktarini Saputri; Misinem Misinem; Tri Basuki Kurniawan; Nirwana Nirwana
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 10 (2025): Desember
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i10.3547

Abstract

Pandemi Covid-19 telah memberikan dampak signifikan terhadap berbagai aspek kehidupan masyarakat, termasuk dalam hal kesehatan, sosial, dan ekonomi. Kurangnya pemahaman masyarakat tentang virus Covid-19 serta cara pencegahannya menjadi tantangan besar dalam menekan angka penyebaran. Kegiatan pengabdian ini bertujuan untuk memberikan edukasi kesehatan kepada masyarakat, khususnya anggota Pengajian Keluarga Shollihah dan Rumah Cinta Quran (RCQ) Fafifa Palembang, mengenai pentingnya protokol kesehatan, gejala Covid-19, serta langkah-langkah pencegahan yang efektif. Metode pelaksanaan berupa penyuluhan langsung, pembagian media edukatif, serta sesi tanya jawab interaktif. Hasil dari kegiatan ini menunjukkan peningkatan pengetahuan dan kesadaran peserta terhadap pentingnya menjaga kesehatan selama masa pandemi. Kegiatan ini juga menjadi sarana untuk memperkuat peran komunitas dalam mendukung upaya pemerintah dalam penanganan Covid-19. Edukasi yang berkelanjutan di tingkat komunitas terbukti efektif dalam membentuk perilaku hidup sehat di masa krisis kesehatan global.
Beyond One-Size-Fits-All Learning: An AI-Driven Personalized Learning Pathway Framework Eko Risdianto; Joseline Santos; Noel Lomerio; Rita Sinthia; Tri Basuki Kurniawan; Deshinta Arrova Dewi; Laura Mahendratta Tjahjono; Mona Ardina; Desvi Wahyuni
Online Learning In Educational Research (OLER) Vol. 6 No. 2 (2026): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v6i2.1101

Abstract

Artificial intelligence has accelerated the evolution of personalized learning, yet most learning management systems continue to rely on static instructional pathways that inadequately accommodate learners’ cognitive and behavioral diversity. This study evaluated an AI-driven Personalized Learning Pathway (PLP) framework that integrates learner analytics, intelligent content recommendation, and adaptive assessment within a unified learning environment to enhance student engagement and academic achievement. A mixed-methods quasi-experimental design was conducted with 240 undergraduate students from four universities across Southeast Asia. Students in the experimental group learned through an AI-augmented learning management system, while the control group used a conventional platform. The findings demonstrate that the AI-driven PLP framework consistently improved student engagement, motivation, course completion, and academic achievement compared with traditional learning management systems. Students also exhibited stronger learning adaptability and more effective responses to personalized feedback, both of which emerged as key contributors to academic success. By integrating behavioral analytics with real-time instructional adaptation, the proposed framework moves beyond content personalization toward a responsive learning ecosystem. This study contributes a scalable AI-enabled instructional framework that supports learner-centered higher education and provides practical guidance for implementing adaptive digital learning environments