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Evaluasi Kinerja Proyek Kontruksi Berbasis Integrated Project Delivery (IPD) pada Proyek Kereta Cepat Jakarta-Bandung (KCIC) Anisafitri, Isnaini; Suprahman, Faiz Hamdi
Jurnal Rekayasa Konstruksi Mekanika Sipil Vol 8 No 1 (2025): Volume 8 Nomor 1 Tahun 2025
Publisher : Fakultas Teknik Universitas Katolik Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jrkms.v8i1.4272

Abstract

Penerapan metode Integrated Project Delivery (IPD) dalam proyek konstruksi besar bertujuan untuk meningkatkan efisiensi, kolaborasi, dan kinerja proyek secara keseluruhan. Tujuan dari penelitian ini adalah untuk mengevaluasi kinerja proyek Kereta Cepat Jakarta-Bandung (KCIC) dengan menggunakan pendekatan IPD. Studi ini mengkaji tingkat keberhasilan implementasi IPD pada proyek KCIC untuk mencapai tujuan utama dari segi biaya, waktu dan kualitas, serta menganalisis hambatan dan tantangan yang dihadapi dalam kolaborasi antar pemangku kepentingan. Pendekatan penelitian menggunakan metode studi kasus dengan menganalisis data sekunder yang diperoleh dari laporan kemajuan proyek, laporan keuangan, dan artikel terkait dari media massa serta publikasi akademik. Metode penelitian meliputi analisis data deskriptif kualitatif dan kuantitatif berdasarkan laporan resmi proyek, artikel jurnal, serta publikasi dari media massa. Hasil penelitian menunjukkan bahwa penerapan IPD pada proyek KCIC berkontribusi signifikan dalam pencapaian target efisiensi konstruksi, walaupun terdapat tantangan terkait koordinasi antar-pemangku kepentingan, regulasi, dan pengelolaan risiko. Penelitian ini diharapkan dapat memberikan panduan bagi penerapan IPD dalam proyek konstruksi serupa di Indonesia, dengan menyoroti faktor-faktor keberhasilan dan kendala yang perlu diantisipasi.Studi ini bertujuan untuk memperkuat kapasitas manajemen risiko dan pengembangan teknologi adaptif untuk memfasilitasi penerapan IPD pada proyek kontruksi besar di Indonesia.
Analysis of Embodied Energy in the Construction of The Prototype of Rammed Earth Wall Suprahman, Faiz Hamdi; Nurafifah, Nisrina
Journal of Architectural Research and Design Studies Vol. 6 No. 2 (2022): November
Publisher : Departement of Architecture, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jars.vol6.iss2.art6

Abstract

The construction sector has become the main target for reducing carbon emissions and world energy consumption in this decade. Reducing the energy consumption of buildings is an effective strategy for reducing carbon emissions. To achieve this kind of condition, the selection of building materials is an important factor, so the attempt to examine alternative building materials needsto be made. One of the attempts is by maximizing the potential of soil as a raw material. The technology of rammed earth wall has existed for centuries and now it is considered a sustainable material, but it has not yet become a popular discourse of alternative building material in Indonesia. This research aims to analyze embodied energy in rammed earth applications. This preliminaryresearch was conducted using the LCA inventory data method that was achieved by making a partial prototype of the rammed earth wall. This research resulted in several recommendations for rammed earth wall applications to reduce carbon emissions during the construction process. Keywords: Alternative Material; Energy Analysis; Rammed Earth Wall; Sustainable Material
Scaling design cognition: A project-based approach to teaching AI in architecture Gunagama, M. Galieh; Suprahman, Faiz Hamdi; Nasrullah; Sumarno, Ade
Refleksi Pembelajaran Inovatif Vol. 6 No. 1 (2026): Volume 6 Nomor 1 Tahun 2026 (in press)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/rpi.vol6.iss1.art1

Abstract

This study investigates the effectiveness of a project-based learning framework in scaling the design cognition of architecture students through structured integration of generative AI tools, examining whether a tiered pedagogical approach helps students transition from passive tool users to active directors of machine intelligence. The research employed a project-based strategy merging the Stanford Design Thinking model with the Educational Design Ladder. Seventy-three architecture students from Universitas Islam Indonesia participated in the Computational Design Thinking course during 2025/2026. Students progressed through manual nature observation, prompt engineering with language models, generative image creation, 3D model conversion, parametric refinement, and physical fabrication. Data were collected through surveys, grading rubrics measuring higher order thinking skills, student reflections, and comparative analysis with non-AI cohorts. Results showed measurable improvement, with average grades rising from 75.3 to 77.9 compared to previous non-AI cohorts. Significant gains occurred in translating ideas into computational logic (+6.8 points) and design report quality (+6.9 points). Students reached Synthesis and Evaluation levels of the Educational Design Ladder (79.2). Self-reported cognitive habits improved from 3.60 to 3.71, while prompt writing proficiency increased from 3.48 to 3.63. Students generated over ten design alternatives per concept, demonstrating expanded creative output. Physical 3D print quality showed slight decline, and students reported cognitive load during transitions to node-based interfaces and hardware installation barriers. Single institution study over one semester limits generalizability. Technical barriers affected some participants. Focus on early-stage design cognition may not capture long term skill retention. Future implementations should introduce computational tools earlier in the curriculum, provide robust hardware infrastructure and technical support, and conduct longitudinal studies on professional application. This research provides a replicable pedagogical roadmap for integrating AI while maintaining human creative authority. Institutions should embed AI throughout the curriculum, establish ethical guidelines, and provide structured technical scaffolding to help students achieve higher order thinking skills in human AI collaboration.