Fill Volume Calculation Analysis of The Meninting Dam Project Based on Terrestrial and Photogrammetry Measurement Data Using The Cross Section Method

Abstract Meninting Dam is a construction included in National Strategic Project (PSN) to support food and water security, especially in Eastern Indonesia, and also serves as a construction project for a dam located on Lombok Island. The earthwork becomes a crucial in construction work. It is necessary to calculate the volume to monitor the progress of the work. Measurements for volume calculation can be done with terrestrial methods and photogrammetric method. Therefore, it is necessary to compare the two measurement methods. The results of the total fill volume calculation were 1,699,589.02 m 3 for drone measurements, 1,695,142.13 m 3 for GNSS-RTK measurements, and 1,688,170.66 m 3 for total station measurements. From these results, there is a difference of 4,446.89 m 3 between drone measurements and GNSS-RTK and 6,971.47 m 3 between total station measurements and GNSS-RTK. Based on the paired sample t-test (statistical test), at the 95% confidence level, the difference in area’s profile per STA and volume per partition of total station and drone measurements is not very significant to the data that is considered correct, which is the GNSS-RTK measurement. ASTM standard test, related to precision with precision error test, drone measurement is more precise than total station measurement. Regarding accuracy with the volume error test, drone measurements are more accurate than total station measurements. The results of this research can be used to support SDGs activities in infrastructure development and water resources management.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2024-12-01
DOI
https://doi.org/10.1088/1755-1315/1418/1/012014
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
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article

Fill Volume Calculation Analysis of The Meninting Dam Project Based on Terrestrial and Photogrammetry Measurement Data Using The Cross Section Method

Nafisatus Sania Irbah, Muhammad Faisal Ardiansyah
IOP Conference Series Earth and Environmental Science
Remote Sensing and LiDAR Applications
article

Fill Volume Calculation Analysis of The Meninting Dam Project Based on Terrestrial and Photogrammetry Measurement Data Using The Cross Section Method

Nafisatus Sania Irbah, Muhammad Faisal Ardiansyah
article en

Abstract

Abstract Meninting Dam is a construction included in National Strategic Project (PSN) to support food and water security, especially in Eastern Indonesia, and also serves as a construction project for a dam located on Lombok Island. The earthwork becomes a crucial in construction work. It is necessary to calculate the volume to monitor the progress of the work. Measurements for volume calculation can be done with terrestrial methods and photogrammetric method. Therefore, it is necessary to compare the two measurement methods. The results of the total fill volume calculation were 1,699,589.02 m 3 for drone measurements, 1,695,142.13 m 3 for GNSS-RTK measurements, and 1,688,170.66 m 3 for total station measurements. From these results, there is a difference of 4,446.89 m 3 between drone measurements and GNSS-RTK and 6,971.47 m 3 between total station measurements and GNSS-RTK. Based on the paired sample t-test (statistical test), at the 95% confidence level, the difference in area’s profile per STA and volume per partition of total station and drone measurements is not very significant to the data that is considered correct, which is the GNSS-RTK measurement. ASTM standard test, related to precision with precision error test, drone measurement is more precise than total station measurement. Regarding accuracy with the volume error test, drone measurements are more accurate than total station measurements. The results of this research can be used to support SDGs activities in infrastructure development and water resources management.

IOP Conference Series Earth and Environmental ScienceVol. 1418(1)
Sepuluh Nopember Institute of Technology (ID)
Openalex Percentile: Top 57%
Remote Sensing and LiDAR Applications
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