<![CDATA[ABSTRACT The UAVs used for photogrammetric mapping have become increasingly diverse, each with distinct specifications. The Wingtra One Gen II has a relatively large size, making it difficult to access steep terrains, while the Mavic 3 Enterprise, with its smaller size, is more capable of reaching even the most challenging areas. This research aims to determine the better UAV based on geometric accuracy, data processing time, and orthophoto quality.The study utilized aerial imagery captured by the Wingtra One Gen II and Mavic 3 Enterprise UAVs in the CCTW Toll Road project. Data processing was carried out using Agisoft Metashape software. The outputs—DEM and orthomosaic—were analyzed and compared for geometric accuracy using 10 Ground Control Points (GCPs) and 9 Independent Check Points (ICPs) as references for data validation, following the guidelines of the Head of the Geospatial Information Agency Regulation No. 6 of 2018 on Technical Standards for Basic Map Accuracy.The results showed that the Wingtra One Gen II had superior geometric accuracy for orthophotos, with better LE90 and CE90 values compared to the Mavic 3 Enterprise. However, in terms of processing time, the Mavic 3 Enterprise was faster, completing the task in 9 hours, 18 minutes, and 13 seconds, compared to the Wingtra One Gen II, which took 2 days, 7 hours, and 16 minutes. The planimetric quality of the orthophotos produced by both UAVs was equally good, aligning perfectly with field conditions. Keywords: photogrammetry, Wingtra One Gen II, Mavic 3 Enterprise, geometric accuracy ABSTRAK Wahana atau UAV yang digunakan pada pemetaan dengan metode fotogrametri semakin banyak jenisnya dengan spesifikasi yang berbeda. Wingtra One Gen II memiliki ukuran yang relatif besar sehingga sulit untuk menjangkau area yang terjal sedangkan Mavic 3 Enterprise memiliki ukuran kecil sehinggga mudah menjangkau medan area yang terjal sekalipun. Penelitian ini bertujuan untuk menentukan wahana yang lebih baik berdasarkan nilai ketelitian geometrik, waktu pemrosesan data, dan kualitas othophoto.Penelitian ini menggunakan data foto udara hasil perekaman wahana Wingtra One Gen II dan Mavic 3 Enterprise pada proyek Jalan Tol CCTW. Software pengolahan menggunakan agisoft metashape. Hasil pengolahan yaitu DEM dan Orhomosaic dari kedua wahana dianalisis dan dibandingkan berdasarkan nilai ketelitian geometrik, dengan memanfaatkan titik kontrol tanah yaitu Ground Control Points (GCP) sebanyak 10 titik dan Independent Check Point (ICP) sebanyak 9 titik sebagai referensi untuk validasi datanya dengan menggunakan panduan Peraturan Kepala Badan Informasi Geospasial No. 6 Tahun 2018 tentang Pedoman Teknik Ketelitian Peta Dasar. Hasil penelitian menunjukkan bahwa wahana Wingtra One Gen II memiliki nilai ketelitian geometrik orthopoto LE 90 dan CE 90 lebih baik daripada wahana Mavic 3 Enterprise. Sedangkan dalam waktu pemrosesan, wahana Mavic 3 Enterprise lebih cepat yaitu 9 jam 18 menit 13 detik dibandingkan Wingtra One Gen II dengan waktu pemrosesan 2 hari 7 jam 16 menit. Kualitas planimetris orthophoto dari kedua wahana sama-sama menghasilkan kualitas yang baik yaitu tegak lurus sesuai dengan kondisi di lapangan. Kata kunci: fotogrametri, Wingtra One Gen II, Mavic 3 Enterprise, ketelitian geometric]]>
