OPTIMASI PENGGUNAAN BESI TULANGAN BERDASARKAN BAR BENDING SCHEDULE BERBASIS BUILDING INFORMATION MODELING PADA PEKERJAAN STRUKTUR (STUDI KASUS: PROYEK SEKOLAH NOAH)

PUSPITA SARI DWININGRUM, . (2026) OPTIMASI PENGGUNAAN BESI TULANGAN BERDASARKAN BAR BENDING SCHEDULE BERBASIS BUILDING INFORMATION MODELING PADA PEKERJAAN STRUKTUR (STUDI KASUS: PROYEK SEKOLAH NOAH). Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Besi tulangan merupakan material konstruksi bernilai tinggi, sehingga diperlukan perencanaan kebutuhan besi yang teliti dan akurat. Pada proyek sekolah Noah ditemukan waste besi tulangan yang cukup banyak akibat kurangnya perencanaan kebutuhan besi secara detail, serta penggunaan besi belum termanfaatkan secara maksimal. Penelitian ini bertujuan mengoptimalkan penggunaan besi tulangan berdasarkan Bar Bending Schedule (BBS) berbasis Building Information Modeling (BIM) menggunakan software Autodesk Revit, dan optimasi pemotongan besi menggunakan software Cutting Optimization Pro (SCOP). Metode penelitian yang digunakan adalah Research and Development (R&D) dengan model pengembangan 4D (Define, Design, Develop, Dissiminate). Data yang dibutuhkan berupa gambar Detail Engineering Design (DED), spesifikasi standar pembesian, berita acara waste material besi, dan data kebutuhan besi proyek. Produk yang dihasilkan berupa metode kerja optimasi penggunaan besi tulangan lengkap dengan output data BBS, cutting list, dan analisis optimasi waste besi tulangan. Hasil penelitian menunjukan kebutuhan besi proyek sebesar 244.626,71 kg, lebih besar dibandingkan data BBS berbasis BIM sebesar 179.359,62 kg dengan selisih 65.267,09 kg. Selain itu, waste besi proyek sebesar 3.560 kg, lebih besar dibandingkan hasil optimasi SCOP sebesar 217,67 kg dengan selisih 3.342,33 kg atau 1,334%. Hal ini menunjukan bahwa BBS berbasis BIM dan optimasi SCOP dapat meningkatkan akurasi kebutuhan besi dan meminimalisir waste besi tulangan. ***** Reinforcing steel is a high-value construction material, therefore accurate and detailed steel requirement planning is necessary. In the Noah School project, a considerable amount of reinforcing steel waste was found due to the lack of detailed steel requirement planning and the inefficient utilization of reinforcing steel. This study aims to optimize the use of reinforcing steel based on a Building Information Modeling (BIM)-based Bar Bending Schedule (BBS) using Autodesk Revit software and steel cutting optimization using Cutting Optimization Pro software (SCOP). The research method used is Research and Development (R&D) with the 4D development model (Define, Design, Develop, Disseminate). The required data include Detail Engineering Design (DED) drawings, reinforcement standard specifications, steel waste reports, and project steel requirement data. The resulting product is a steel reinforcement optimization work method complete with BBS data output, cutting lists, and reinforcing steel waste optimization analysis. The results show that the project steel requirement of 244.626,71 kg is greater than the BIM based BBS data of 179.359,62 kg, with a difference of 65.267,09 kg. In addition, the project steel waste of 3.560 kg is greater than the SCOP optimization result of 217,67 kg, with a difference of 3.342,33kg or 1.334%. These results indicate that BIM-based BBS and SCOP optimization can improve the accuracy of steel requirements and minimize reinforcing steel waste.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Rezi Berliana Yasinta, M.T. ; 2). Adhi Purnomo, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Sipil Teknologi dan Ilmu Terapan > Konstruksi Bangunan
Divisions:	FT > D IV Teknologi Rekayasa Konstruksi Bangunan Gedung
Depositing User:	PUSPITA SARI DWININGRUM .
Date Deposited:	20 Aug 2026 01:51
Last Modified:	20 Aug 2026 01:51
URI:	http://repository.unj.ac.id/id/eprint/71880

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