Claim Missing Document
Check
Articles

Found 12 Documents
Search

Peningkatan Kualitas Pembelajaran Melalui Pelatihan Penelitian Tindakan Kelas Bagi Guru Megayanti, Trias; Dwidayati, Kunthi Herma; Busono, Tjahyani; Krisnanto, Erna; Surahman, Usep
Lentera Karya Edukasi Vol 3, No 2 (2023): Jurnal LENTERA KARYA EDUKASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Pengembangan dan Kajian Sarana dan Prasarana Pendidikan (P2K Sarprasdik)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/lekaedu.v3i2.63669

Abstract

Penelitian Tindakan Kelas (PTK) merupakan salah satu metoda yang digunakan untuk mengevaluasi proses pembelajaran yang dilakukan oleh guru. Tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk mengoptimalkan pengetahuan dan pemahaman guru-guru mengenai manfaat dan detail teknis pelaksanaan PTK. Tujuan lainnya adalah untuk menjadikan PTK sebagai sebuah kebutuhan bagi guru untuk mengevaluasi dan memperbaiki proses pembelajaran yang dilaksanakan. Pengabdian ini dilaksanakan dalam bentuk pelatihan singkat yang diikuti oleh seluruh guru di SMKN 12 Garut. Mengacu pada tata laksana action learning, pelatihan terbagi dalam beberapa tahapan dalam tiga kelompok besar yakni, persiapan, pelaksanaan, dan evaluasi. Hasil dari pelaksanaan pelatihan ini adalah meningkatnya pemahaman guru mengenai Pelatihan Tindakan Kelas, serta meningkatnya kesadaran guru mengenai pentingnya pelaksanaan PTK sebagai bagian dari evaluasi pembelajaran secara rutin.
Application of Generative Design on Architecture to Optimize Design Decision in Preliminary Design Stage Mahendra, Seto Maulana; Surahman, Usep; Jurizat, Aldissain; Sari, Diah
Journal of Artificial Intelligence in Architecture Vol. 4 No. 2 (2025): Artificial Intelligence for Transformative Architecture: Integrating AR, Comput
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jarina.v4i2.10557

Abstract

This study investigates the application of generative design through Autodesk Forma, a cloud-based AI platform, to optimise architectural decision-making in the preliminary design stage of a ten-story hotel in Cirebon City, Indonesia—a region characterised by a hot and humid climate. The research employed simulations based on five environmental parameters: sun hours, daylight potential, wind distribution, microclimate conditions, and solar energy. Three optimal models were selected based on orientation, spatial configuration, and environmental responsiveness. Subsequent development simulations were conducted on these three models by refining openings, adding vegetation, and enhancing shading strategies. Model-2 emerged as the best-performing design. It demonstrated an energy efficiency potential of approximately 23%, achieved through improved daylighting (VSC ≥ 27% on most facades), reduced reliance on artificial cooling due to stable microclimatic conditions (temperatures moderated by 2–3°C during peak hours), and the integration of solar panels generating an estimated 165,000 kWh/year from 40% roof coverage at 10% efficiency. The results confirm that AI-driven generative design can significantly accelerate the design process while enhancing environmental performance. This approach supports energy-efficient architecture in tropical regions, although it requires access to advanced technology, skilled practitioners, and robust internet connectivity.