M. Kencanawati
Universitas Balikpapan

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Integrasi AHSP-SNI 2847:2019 pada Beton Bertulang dengan BIM 5D untuk Estimasi Biaya Mako Brimob Kaltim V. S. Ferama; R. Pratiwi; M. Kencanawati
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 3 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i3.6788

Abstract

Building Information Modelling (BIM) is increasingly applied to improve the accuracy of quantity take-off and cost estimation; however, differences may occur between manual calculations, BIM, and consultant estimates due to reinforcement detailing and compliance with SNI 2847:2019. This study aims to evaluate reinforced concrete work against SNI 2847:2019 and compare concrete volume, reinforcement quantity, and cost estimates obtained from manual calculations, 5D BIM using Autodesk Revit 2024, and the consultant’s RAB. The study employed a quantitative, non-experimental case-study approach using secondary data consisting of Detailed Engineering Design (DED), consultant’s RAB, 2024 AHSP, and SNI 2847:2019. Structural elements were remodelled in Autodesk Revit 2024 after adjusting reinforcement details, including lap length, anchorage hooks, and stirrup spacing, according to the applicable standard. BIM results were validated through manual calculations and compared with the consultant’s RAB. The results show that several reinforcement details were not fully compliant, particularly in pedestal, beam, and sloof elements. After adjustment, the BIM model satisfied the audited SNI parameters. Concrete volume from BIM and manual calculation was 420.50 m³, compared with 440.50 m³ in the consultant’s RAB, resulting in a 20.00 m³ or 5% difference. Reinforcement quantity was 74,993.00 kg compared with 67,833.50 kg, resulting in a difference of 7,159.50 kg or 11%. The BIM-based reinforcement cost was Rp1,494,517,384, compared with Rp1,297,208,667 in the consultant’s RAB, producing a difference of Rp197,308,717 or 15%. The findings demonstrate that integrating SNI-based reinforcement detailing, BIM 5D, and AHSP supports a consistent and traceable approach to quantity take-off and cost estimation.