Thirmidzi, Achmad (2021) Analisis Ketelitian Pemetaan Skala 1:1000 Dengan Wahana DJI Phantom 4 Pro Untuk Updating Data Master Plan Kampus ITS Sukolilo. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pengembangan Master Plan Kampus Institut Teknologi Sepuluh Nopember (ITS) memerlukan data berupa peta situasi wilayah kampus terbaru. Salah satu metode pemetaan yang mulai banyak diterapkan ada pemetaan secara fotogrametri menggunakan data foto udara untuk menghasilkan data peta ortofoto. Data foto udara ini didapatkan melalui pemotretan menggunakan wahana Unmanned Aerial Vehicle (UAV) jenis drone DJI Phantom 4 Pro.
Pada penelitian ini digunakan DJI Phantom 4 Pro untuk pembuatan peta ortofoto dengan luas area pemetaan ±188 ha. Data foto udara diolah dengan metode Fotogrametri UAV dengan algoritma Structure from Motion (SfM) dengan 17 titik GCP yang tersebar pada seluruh area Kampus ITS Sukolilo.
Dari penelitian ini, didapatkan hasil sebuah peta ortofoto skala 1:1000 yang diuji ketelitian horizontalnya dengan 11 titik ICP. Berdasarkan hasil pengujian yang mengacu pada Perka BIG No. 6 Tahun 2018, didapati bahwa peta ortofoto memenuhi standar ketelitian dari peta dasar dengan skala 1:1000 dan digolong kan dalam kelas 1. Hasil uji kualitas semantik foto udara menunjukkan tingkat kedetailan ortofoto termasuk tinggi, dengan dikelaskan pada level 7 dari 9 pada skala NIIRS. Selanjutnya dilakukan konversi peta ortofoto menjadi peta garis skala 1:1000 dengan data terkini (tahun 2021) sebagai masukan dan pertimbangan untuk updating Master Plan ITS Sukolilo.
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Sepuluh Nopember Institut of Technology Campus Master Plan Development requires a latest campus area situation map data. One of the mapping methods that has applied widely is photogrammetry mapping using aerial photograph data to make an ortophoto map data. Aerial photograph data obtained though shooting using a quadcopter drones DJI Phantom 4 Pro quadcopter drones Unmanned Aerial Vehicle (UAV)
The DJI Phantom 4 Pro will e used to create an orthophoto maps with a mapping area of ±188 ha. Aerial photograph is processed with UAV Photogrammetry method with Structure from Motion (SfM) algorithm using 17 GCP points spread across the entire area of the ITS Sukolilos Campus.
The result showed that an 1:1000 scale orthophoto map were tested for horizontal accuracy with 11 ICP points. Based on the results referring to Perka BIG No. 6 of 2018, it was found that the orthophoto map meets the accuracy standard of the base map with a 1:1000 scale and its classified in 1st class. The results of the semantic quality test of aerial photographs show that the level of orthophoto detail was high, which is being classified at level 7 of 9 on the NIIRS scale. Furthermore, the orthophoto map was converted into a 1:1000 scale line map with the latest data (in 2021) as input and consideration fot updating the ITS Sukolilo Master Plan.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | DJI Phantom 4 Pro, Uji Ketelitian Geometrik, Uji Kualitas Semantik, Master Plan ITS, Geometric Accuracy Test, semantic quality test, ITS Master Plan |
| Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > G70.212 ArcGIS. Geographic information systems. G Geography. Anthropology. Recreation > G Geography (General) > G70.217 Geospatial data T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques |
| Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geomatics Engineering > 29202-(S1) Undergraduate Thesis |
| Depositing User: | Achmad Thirmidzi |
| Date Deposited: | 12 Aug 2021 11:02 |
| Last Modified: | 12 Aug 2021 11:02 |
| URI: | http://repository.its.ac.id/id/eprint/86209 |
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