Akbar, Kevin Imam (2018) Analisis Akurasi Horizontal Peta Ortofoto Skala 1:1000 Menggunakan DJI Mavic Pro (Studi Kasus : Institut Teknologi Sepuluh Nopember). Undergraduate thesis, Insitut Teknologi Sepuluh Nopember.
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Abstract
Perkembangan teknologi selalu berkembang. Salah satunya dalam bidang Unmanned Aerial Vehicle (UAV) drone. Penggunaan drone dapat digunakan untuk pekerjaan pemetaan, seperti pembuatan peta dasar, pembuatan DEM, pemodelan, dan lainnya. Pembuatan peta orthophoto dengan drone dapat menghasilkan peta skala besar dengan ketelitian yang baik. Terdapat kelebihan apabila melakukan pemetaan dengan drone. Metode ini dinamakan foto udara format kecil. Salah satu produsen drone mengeluarkan produk terbarunya yaitu DJI Mavic Pro. DJI Mavic Pro di desain fitur untuk fotografi.
Penelitian ini menggunakan DJI Mavic Pro untuk pembuatan peta foto udara dengan studi kasus di kampus Institut Teknologi Sepuluh Nopember, Sukolilo Surabaya. Pengolahan data menggunakan metode Structure from Motion (SfM). Peta orthophoto yang dihasilkan dengan sebaran titik kontrol sebanyak 14 titik di lingkungan ITS.
Hasil dari penelitian ini didapatkan nilai akurasi horizontal berdasarkan Perka BIG No. 15 Tahun 2014. Dengan menggunakan 12 titik uji yang tersebar di lokasi penelitian, didapatkan nilai RMSe horizontal sebesar 0,19 meter dan uji akurasi horizontal CE90 sebesar 0,288 meter. Ketelitian horizontal tersebut masuk dalam kategori skala 1:1000 kelas 2.
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The development of technology is always evolving. One of them is Unmanned Aerial Vehicle (UAV). The drones can be used for mapping work, such as the creation of basemap, DEM, modeling, and more. An orthophoto map made by drones can produce large-scale maps with good accuracy. There are advantages of generating a map with drones. This method is called the small-format aerial photography. One of the latest products is DJI Mavic Pro. DJI Mavic Pro mainly designed for photography and videography.
This research used the DJI Mavic Pro for aerial photogrammetry mapping with a case study on the campus of ITS, Sukolilo Surabaya. Orthophoto data processed using the method of Structure from Motion (SfM). An orthophoto map was generated with 14 control points in ITS Campus.
The results of this research obtained the value of horizontal accuracy based on Perka BIG no. 15 of 2014. Using the 12 test points are scattered in ITS Campus. The results of RMSe Horizontal is 0.19 meters RMSe horizontal and horizontal CE90 accuracy test is 0.288 meters. Accuracy of the 1:1000 horizontal scale categories obtained at second class and first class at 1:2500 horizontal scale categories.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSG 526.982 3 Akb a-1 |
| Uncontrolled Keywords: | Akurasi Horizontal, DJI Mavic Pro, Drone, Ortofoto |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G109.5 Global Positioning System G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. |
| Divisions: | Faculty of Civil, Environmental, and Geo Engineering > Geomatics Engineering > 29202-(S1) Undergraduate Theses |
| Depositing User: | Kevin Imam Akbar |
| Date Deposited: | 17 Jun 2021 06:49 |
| Last Modified: | 17 Jun 2021 06:49 |
| URI: | http://repository.its.ac.id/id/eprint/54113 |
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