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All Journal Syntax Idea G-Tech : Jurnal Teknologi Terapan Jurnal Sosial dan Teknologi Action Research Literate (ARL) Indonesian Community Journal Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Innovative: Journal Of Social Science Research Diteksi : Jurnal Pengabdian Kepada Masyarakat Journal of Innovative and Creativity
Ferdinandus
Universitas Palangka Raya
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Analisis Perbandingan Volume Stockpile Batubara Menggunakan Data Foto Udara Unmanned Aerial Vehicle (UAV) Mavic 3 Pro dengan Hasil Truck Count di PT. Mitra Barito Albertus Niko Liswanto; Hepriyandi L. Djanas Usup; Ferdinandus Ferdinandus; Wiryanto Wiryanto; Asri Fridtriyanda
JURAL RISET RUMPUN ILMU TEKNIK Vol. 5 No. 2 (2026): Agustus: Jurnal Riset Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v5i2.9186

Abstract

This study aims to analyze a comparison of coal stockpile volumes using the DJI Mavic 3 Pro Unmanned Aerial Vehicle (UAV) method versus the truck count method at PT. Mitra Barito. Data collection was conducted through aerial photography using a UAV at altitudes of 60 meters and 70 meters, as well as Ground Control Point (GCP) measurements using GPS. The aerial imagery data was processed using photogrammetry software to generate orthophotos and a Digital Elevation Model (DEM), followed by a geometric accuracy test based on the Geospatial Information Agency Regulation No. 6 of 2018, using the Circular Error 90% (CE90) and Linear Error 90% (LE90) parameters. The research results show that high-quality processing at an altitude of 60 meters yields a CE90 value of 2.1619 meters and an LE90 value of 4.3656 meters, thereby meeting the accuracy standards for RBI maps at a scale of 1:5,000, Class 3 for horizontal accuracy, and a scale of 1:10,000, Class 3 for vertical accuracy. Volume calculations of the stockpile using UAVs yielded a result of 22,750.900 m³, while the truck count method produced a volume of 23,503.300 m³. The volume difference between the two methods was 753.400 m³, with a deviation percentage of 3.2%. Based on the research results, the UAV method is considered capable of providing relatively accurate calculations of coal stockpile volume.
Co-Authors Albertus Niko Liswanto Asri Fridtriyanda Deddy Nan Setya Putra Tanggara Dody Ariyantho Kusma Wijaya Eka Taufiqur Rahman Fahrul Indrajaya Ferra Murati Fidayanti, Neny Geraldo Michel, Odorikus Grace Any Pasaribu Hepriyandi L. Djanas Usup Hepryandi L. Dj. Usup Hepryandi L. Djanas Usup I Putu Putrawiyanta Immanuel Nababan Inso, Yos David Kusma Wijaya, Dody Ariyantho Luwyk Djanas Usup , Hepryandi Luwyk Djanas Usup, Hepryandi Mars Brein Sembiring Martua Risa Munthe Matius Yosefhin Meha, Hansen Lim Junior Meha Muhammad Faisal Siddiq Nan Setya Putra Tanggara, Deddy Neny Sukmawatie Novalisae Noveriady Nuansa Mare Apui Ganang Pitria, Pitria Purba, Muhammad Kanaya Ronal Berkat Tumanggor Saptawartono, Saptawartono Saputra, Rafiq Aldi Situngkir, Jhoni Priadi Sofi Miftah Alrasyid Usup, Hepryandi Luwyk Djanas Virgiyanti, Lisa Wiryanto Wiryanto Yossa Yonathan Hutajulu Yulius Kahanjak Yunida Iashania Yunitae Kristianie Yusias Andri Yustinus Hendra Wiryanto