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M Fauzhan Algiffari
a:1:{s:5:"en_US";s:24:"Universitas Samratulangi";}
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Immunology & microbiology Mathematics Physics Social Sciences Other

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Akselerasi Desain Urban Adaptif: Studi Komparatif Pengambilan Keputusan Tata Ruang Berbasis Prediksi AI Kota Gorontalo M Fauzhan Algiffari; Triyatni Martosenjoyo; Syarif Beddu; Rahmi Amin Ishak
Jurnal Vokasi Sains dan Teknologi Vol. 5 No. 2 (2026): JURNAL VOKASI SAINS DAN TEKNOLOGI (MEI)
Publisher : Program Vokasi UNG

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Abstract

Modern urban planning faces the challenge of achieving optimal density without sacrificing environmental quality and sustainability. The conventional linear, trial-and-error design process is considered ineffective in responding to these needs. This study aims to compare the effectiveness of AI Prediction in Autodesk Forma with conventional design methods in spatial planning decision-making, using a Performance-Based Design approach in an urban area case study. Various performance criteria, including density, sun exposure, microclimate comfort, noise, and embodied carbon, were included as constraints and targets, then explored through thousands of design iterations by the AI algorithm. The results show that Autodesk Forma significantly speeds up the design exploration process from weeks to hours or days, while producing solutions with more balanced multi-criteria performance. The platform is able to achieve density targets while reducing embodied carbon and improving the quality of public spaces. The study concludes that Autodesk Forma plays an important role in the transformation of AI-based urban design, producing faster, more adaptive, sustainable, and resilient solutions, and encouraging the adoption of generative technology as a new standard practice in urban planning.
Co-Authors Rahmi Amin Ishak Syarif Beddu Triyatni Martosenjoyo