Dewa, Pelangi Mahkota (2026) Analisis Akurasi Pengolahan Data pada Pemetaan Airborne Laser Scanning (ALS) Menggunakan Ground Control Point (GCP) Metode Statik, Real-Time Kinematic (RTK), dan Post-Processing Kinematic (PPK) (Studi Kasus: Kampus ITS Sukolilo). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pemilihan metode penentuan posisi yang tepat merupakan faktor penting dalam survei pemetaan untuk memperoleh hasil yang akurat dan efisien. Penelitian ini bertujuan merencanakan dan melaksanakan akuisisi data LiDAR serta foto udara menggunakan Airborne Laser Scanning (ALS) dengan tiga metode penentuan posisi, yaitu Ground Control Point (GCP) metode statik, Post Processing Kinematic (PPK), dan Real Time Kinematic (RTK), pada lahan seluas ±180 hektar dengan kondisi area terbuka di Kampus ITS Sukolilo. Survei dilakukan menggunakan wahana DJI Matrice 350 RTK dengan sensor LiDAR DJI Zenmuse L2, dengan 12 titik GCP dan 12 titik ICP. Data diolah menggunakan DJI Terra dan Agisoft Metashape, kemudian dievaluasi berdasarkan parameter CE90 dan LE90. Seluruh produk point cloud LiDAR memenuhi standar Kelas 1 SNI 9135-2:2023 untuk skala 1:1.000, dengan nilai CE90/LE90 yaitu GCP statik 0,114 m/0,082 m, PPK 0,102 m/0,068 m, dan RTK 0,116 m/0,075 m. Sementara itu, berdasarkan Peraturan BIG Nomor 18 Tahun 2021, produk ortofoto memenuhi Kelas 1 pada akurasi horizontal, namun hanya mencapai Kelas 2 pada akurasi vertikal sehingga keseluruhan produk dikategorikan Kelas 2. Dari segi efisiensi waktu, metode RTK merupakan yang tercepat (13 jam 3 menit), diikuti PPK (15 jam 52 menit), sementara GCP statik paling lama (hingga 20 jam 48 menit). Penelitian ini menyimpulkan bahwa metode PPK merupakan pilihan paling optimal untuk produk LiDAR karena menggabungkan ketelitian vertikal terbaik dengan efisiensi lapangan yang tinggi, sementara metode GCP statik tetap menjadi pilihan terbaik untuk produk ortofoto apabila akurasi geometrik menjadi prioritas utama. Hasil penelitian ini diharapkan dapat menjadi referensi praktis bagi surveyor dalam survei ALS LiDAR di kawasan perkotaan dengan area terbuka.
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Selecting an appropriate positioning method is a critical factor in mapping surveys to achieve accurate and efficient results. This study aims to plan and conduct LiDAR and aerial photo data acquisition using Airborne Laser Scanning (ALS) with three positioning methods—Ground Control Point (GCP) static method, Post Processing Kinematic (PPK), and Real Time Kinematic (RTK)—over an open area of ±180 hectares at ITS Sukolilo Campus. The survey was conducted using a DJI Matrice 350 RTK platform equipped with a DJI Zenmuse L2 LiDAR sensor, utilizing 12 GCP and 12 ICP points. Data were processed using DJI Terra and Agisoft Metashape, then evaluated based on the CE90 and LE90 parameters. All LiDAR point cloud products met the Class 1 standard of SNI 9135-2:2023 for the 1:1,000 scale, with CE90/LE90 values of 0.114 m/0.082 m for the GCP static method, 0.102 m/0.068 m for PPK, and 0.116 m/0.075 m for RTK. Meanwhile, based on BIG Regulation No. 18 of 2021, the orthophoto products met the Class 1 standard for horizontal accuracy but only reached Class 2 for vertical accuracy, classifying the overall product as Class 2. In terms of time efficiency, RTK was the fastest method (13 hours 3 minutes), followed by PPK (15 hours 52 minutes), while the GCP static method took the longest (up to 20 hours 48 minutes). This study concludes that PPK is the most optimal choice for LiDAR products, combining the best vertical accuracy with high field efficiency, while the GCP static method remains the best choice for orthophoto products when geometric accuracy is the primary priority. These findings are expected to serve as a practical reference for surveyors conducting ALS LiDAR surveys in urban areas with open terrain.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | ALS, LiDAR, Post Processing Kinematic, Real Time Kinematic, Ground Control Point |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data G Geography. Anthropology. Recreation > G Geography (General) > G70.5.I4 Remote sensing T Technology > TA Engineering (General). Civil engineering (General) > TA593 Orthophotography |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Pelangi Mahkota Dewa |
| Date Deposited: | 29 Jun 2026 01:02 |
| Last Modified: | 29 Jun 2026 01:02 |
| URI: | http://repository.its.ac.id/id/eprint/134048 |
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