Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Journal of Civil Engineering and Vocational Education
Cupasindi, Dyah Ayu Rahmawati
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Education Engineering Environmental Science Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Volume Analysis of Mining Excavation Progress Using Unmanned Aerial Vehicle-Photogrammetry Method Susilo, Helik; Rahardion, Aqil; Bani, Martince Novianti; Cupasindi, Dyah Ayu Rahmawati; Aditya, Muhammad Tri; Asema, Fuji; Anggraini, Novita
CIVED Vol. 11 No. 3 (2024): September 2024
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v11i3.665

Abstract

In recent years, the use of unmanned aerial vehicles (UAVs) has become an alternative for topographic mapping, and this is called the UAV-Photogrammetry method. Topographic mapping in mining activities is carried out to determine the progress of actual volume of material taken. However, in general, topographic mapping is carried out using terrestrial survey methods. These methods require a long data acquisition time and a lot of personnel. This paper focuses on surveying the volume of mining progress using the UAV-Photogrammetry method and compares it with truck count volume data. The results of this study showed that the deviation in volume calculations using UAV-Photogrammetry method compared with truck count volume data in week I was 233 m3 or 0.654%, week II was 214 m3 or 0.151%, week III was 496 m3 or 0.840%, and week IV was 243 m3 or 0.210%. The results of the t-test showed that there was no significant difference between the volume calculation using the UAV-Photogrammetry method and truck count data, which means both measurement types produce statistically similar results.
Assessing the Correlation between Camera Angle and the Accuracy of Elevation Measurements Derived from UAV-Photogrammetry: - Susilo, Helik; Novianto, Dandung; Rahardianto, Trias; Cupasindi, Dyah Ayu Rahmawati; Subkhan, Muhamad Fajar; Supiyono; Asema, Fuji
CIVED Vol. 12 No. 1 (2025): March 2025
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v12i1.750

Abstract

Elevation measurement is essential for various applications, including construction engineering, monitoring land subsidence, maintaining infrastructure, etc. A conventional method for elevation measurement involves terrestrial surveying using a Total Station instrument. However, this method can be time-consuming and requires a considerable number of personnel. Unmanned Aerial Vehicle (UAV) photogrammetry method offers a more efficient solution for determining elevation. This method utilizes UAVs equipped with camera sensors to capture aerial photos. In this research, aerial photos were taken using three different camera angle configurations: nadir (90°), oblique (65°), and oblique (45°). The elevation points derived from the UAV photogrammetry data were compared with the elevation measured by the Total Station. The analysis showed that the nadir (90°) camera angle configuration had the lowest Root Mean Square Error (RMSE) at 0.0471 meters, followed by the oblique (65°) configuration with RMSE of 0.0508 meters, and the obliqu (45°) configuration with RMSE of 0.1399 meters. According to the t-test, the elevations derived using the UAV photogrammetry method were not significantly different from the elevations measured with the Total Station.
Co-Authors Asema, Fuji Dandung Novianto Helik Susilo Martince Novianti Bani Muhammad Tri Aditya Novita Anggraini Rahardianto, Trias Rahardion, Aqil SUBKHAN, MUHAMAD FAJAR Supiyono .