Perbandingan Ketelitian Antara Registrasi Cloud to Cloud dengan Registrasi Object to Object dalam Penyiapan Data Pemodelan 3D Pengukuran Jalan Tol

Ara Budidarma Rachmat; Mohammad Abdul Basyid

Authors

Ara Budidarma Rachmat Institut Teknologi Nasional, Bandung Author
Mohammad Abdul Basyid Institut Teknologi Nasional, Bandung Author

Keywords:

point cloud, Point Cloud Registration, BIM, Building Information Modeling, Terrestrial Laser Scanner (TLS)

Abstract

The use of 3D scanning technology in infrastructure measurement, especially toll roads, requires an accurate data registration process to support the development of Building Information Modeling (BIM) models. This study compares two point cloud registration methods, namely Cloud-to-Cloud (C2C) and Object-to-Object (O2O) using a target sphere, in preparing 3D modeling data in the JORR-1 Toll Road project. Data acquisition was carried out using a FARO Focus 3D S120 Terrestrial Laser Scanner, and the registration process was analyzed based on geometric accuracy parameters (mean distance error), as well as processing time efficiency. The results show that the C2C method produces a higher level of accuracy with an average error of 6.33 mm, while the O2O method is 12.17 mm. However, the O2O method is superior in terms of time efficiency, which is 36 hours compared to C2C which requires 48 hours. Both are still within the BIM accuracy tolerance threshold (≤ 20 mm). Therefore, the selection of a registration method is recommended based on project priorities, such as accuracy or time efficiency, to ensure technical feasibility in BIM-based toll road infrastructure modeling applications.

References

[1] Azhar, S. (2011). Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry. Leadership and Management in Engineering, 11(3), 241–252. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127

[2] Hidayat, A., Rachmat, A., & Wibowo, H. (2019). Penggunaan TLS dalam Pemetaan dan Monitoring Infrastruktur. Jurnal Geospasial Terapan, 7(2), 123–134.

[3] National Institute of Building Sciences (NIBS). (2020). BIM Project Execution Planning Guide. Washington, D.C.

[4] Nurjaman, M. F., Putra, R., & Suwondo, H. (2019). Evaluasi Metode Registrasi TLS dalam Proyek Jalan Raya. Jurnal Teknik Sipil dan Lingkungan, 6(1), 55–63.

[5] Pratama, I., Sari, N., & Budi, R. (2021). Analisis Efisiensi Registrasi Point Cloud Berbasis Target Sphere pada Model BIM Jalan Tol. Prosiding Seminar Nasional Teknologi dan Infrastruktur, 4(1), 88–97.

[6] SNI BIM (2023). Spesifikasi Umum Building Information Modeling untuk Proyek Infrastruktur. Badan Standardisasi Nasional, Jakarta.

[7] Wang, X., & Cho, Y. K. (2015). Performance Evaluation of 3D Modeling Using Point Clouds for Construction. Automation in Construction, 49, 193–206.

[8] Tang, P., Huber, D., Akinci, B., Lipman, R., & Lytle, A. (2010). Automatic Reconstruction of As-Built Building Information Models from LaserScanned Point Clouds: A Review of Related Techniques. Automation in Construction, 19(7), 829-843.

[9] Wibowo, A., et al. (2018). "Pemanfaatan Teknologi Laser Scanning untuk Pemodelan Infrastruktur Jalan." Geomatika, 12(3), 45-56.

[10] Saputra, D., et al. (2017). "Analisis Akurasi Registrasi Data Point Cloud Menggunakan Target Sphere pada Pemodelan 3D." Jurnal Geodesi UNDIP, 6(2), 78-89.

[11] Nugroho, A., et al. (2018). "Evaluasi Kualitas Data Point Cloud pada Pemodelan Infrastruktur Jalan Tol Menggunakan Laser Scanner." Jurnal Teknik Sipil ITB, 25(2), 112-123.

[12] Pratama, R., et al. (2017). "Analisis Pengaruh Kondisi Lingkungan terhadap Akurasi Pengukuran Menggunakan Laser Scanner." Jurnal Geomatika, 10(1), 34-45.

[13] Wibowo, A., et al. (2018). "Optimasi Parameter Registrasi Point Cloud untuk Pemodelan Infrastruktur Jalan". Jurnal Geomatika, 14(2), 89-102.

[14] Nugroho, S. (2018). "Normalisasi Parameter Ketelitian Data Laser Scanning Berbasis Resolusi Alat". Jurnal Geomatika, 14(1), 23-35.

[15] Badan Standarisasi Nasional. (2017). "Standar Visualisasi dan Inspeksi Data Point Cloud untuk Infrastruktur Transportasi". Standar Nasional Indonesia (SNI) 19-6724-2002.

[16] Darmawan, E., & Putra, Y. (2017). "Analisis Komparatif Metode Registrasi Point Cloud pada Pemodelan 3D Jembatan". Jurnal Manajemen Aset Infrastruktur, 3(2), 67-79.

[17] Siregar, V. P., et al. (2019). "Analytical Hierarchy Process untuk Evaluasi Kinerja Algoritma Registrasi Point Cloud". Jurnal Teknologi Informasi ITS, 8(1), 89-102.

[18] Pusat Penelitian Jalan dan Jembatan. (2018). "Protokol Validasi Data Pemindaian 3D untuk Infrastruktur Transportasi". Laporan Teknis Kementerian PUPR