Eko Riyanto, Firman Alva Fauzi, Larashati B'tari Setyaning

Implementasi BIM (Building Information Modeling) pada Elemen Struktur Abutment Jalan Layang Ruas Tol Yogyakarta-Bawen

Introduction

Implementasi bim (building information modeling) pada elemen struktur abutment jalan layang ruas tol yogyakarta-bawen. Analisis implementasi BIM (Building Information Modeling) pada elemen struktur abutment jalan layang Tol Yogyakarta-Bawen. Bandingkan perhitungan volume material dengan metode konvensional, menunjukkan BIM meningkatkan akurasi & efisiensi.

Abstract

Perkembangan industri konstruksi di Indonesia saat ini mengalami kemajuan yang pesat terutama di sektor infrastruktur jalan tol. Perhitungan volume beton dan baja tulangan abutment pada proyek pembangunan jalan tol Yogyakarta-Bawen seksi 1 masih menggunakan metode konvensional dan mengakibatkan ketidakakuratan dalam perhitungan. Tujuan penelitian ini adalah menganalisis hasil perhitungan quantity take off material beton dan baja tulangan menggunakan metode BIM dan membandingkanya dengan metode konvensional. Penelitian ini menggunakan metode kuantitatif. Analisis data penelitian ini menggunakan teknik perbandingan atau komparatif, antara metode BIM menggunakan software Autodesk Revit 2022 dengan metode konvensional. Data yang digunakan dalam penelitian yaitu dokumen RASD (Request Approval Shop Drawing) dengan objek penelitian elemen struktur abutment A3 sampai A6. Hasil penelitian didapatkan perbandingan hasil perhitungan volume beton (m3) dan baja tulangan (kg) pada elemen struktur abutment jalan layang proyek pembangunan jalan tol yogyakarta bawen seksi 1 menggunakan metode BIM relatif lebih kecil dibandingkan dengan metode konvensional. Persentase hasil perbandingan pada struktur bored pile sebesar 67,6632 m3 (2,0904%) untuk volume beton dan 10.900,1334 kg (2,0117%) untuk berat baja tulangan. Struktur pile cap sebesar 20,4246 m3 (1,3104%) untuk volume beton dan 661,6571 kg (0,4427%) untuk berat baja tulangan. Struktur abutment 74,5358 m3 (4,3053%) untuk volume beton dan 3.467,7737 kg (1,3105%) untuk berat baja tulangan. Teknologi BIM dapat mendeteksi titik clash lebih akurat dibandingkan dengan perhitungan metode konvensional, dengan demikian penggunaan metode BIM menggunakan software Autodesk Revit 2022 mampu meningkatkan akurasi dan efisiensi waktu dalam perhitungan.

Review

This paper investigates the application of Building Information Modeling (BIM) for quantity take-off of structural elements, specifically abutments, within the context of the Yogyakarta-Bawen Toll Road project in Indonesia. The study is timely and highly relevant given the rapid expansion of infrastructure development in the region and the persistent challenges of accuracy in conventional quantity estimation. The core objective is clearly defined: to compare the results of concrete and rebar volume calculations using BIM (Autodesk Revit 2022) against traditional manual methods, addressing a critical pain point in project management and potentially leading to significant cost savings and efficiency gains. Utilizing a quantitative comparative approach, the research analyzes data from Request Approval Shop Drawing (RASD) documents for abutment structures A3 to A6. The key finding consistently demonstrates that BIM yields *lower* quantity estimates for both concrete (m³) and reinforcing steel (kg) compared to conventional methods. The abstract provides specific, detailed percentage differences across various components: bored pile concrete volume reduced by 2.0904% and rebar by 2.0117%; pile cap concrete by 1.3104% and rebar by 0.4427%; and abutment concrete by 4.3053% and rebar by 1.3105%. These precise results highlight BIM's superior capability in detecting clashes more accurately, thereby enhancing calculation precision and improving time efficiency in the quantity take-off process. The findings of this study offer valuable insights into the tangible benefits of adopting BIM technology in large-scale infrastructure projects. The observed reductions in material quantities, even if seemingly small percentages, can translate into significant cost savings and reduced material waste on projects of this scale, while also improving overall project accuracy. While the research effectively demonstrates BIM's superior accuracy and efficiency in quantity take-off and clash detection, future research could expand on this foundation by conducting a more comprehensive cost-benefit analysis of full BIM implementation, including training, software, and hardware, across different project phases. Additionally, exploring other BIM dimensions such as scheduling, cost management, and facility management would provide a more holistic view of its potential impact. Nonetheless, this paper successfully advocates for the strategic integration of BIM into Indonesian construction practices for improved project delivery.

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