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Journal : Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan

Analisis Ketelitian Horizontal Pengukuran Orthofoto Menggunakan DJI Mavic 3 Enterprise Metode RTK dan PPK Ary Pratama Putra; Fajrin Fajrin; Dwi Arini
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 3 No. 3 (2025): Agustus : Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v3i3.1065

Abstract

Aerial photo measurement aims to provide a real, fast, and interactive representation of the Earth's surface. Various methods of aerial photo acquisition and correction can be applied to obtain accurate results. The primary objective is to produce photos that present reliable and precise information consistent with actual conditions. A commonly used method in aerial photo mapping is the utilization of unmanned aerial vehicles (UAVs). The correction methods applied include direct correction, known as the Real-Time Kinematic (RTK) method, and post-processed correction, known as the Post-Processed Kinematic (PPK) method. This study aims to identify the highest horizontal orthophoto quality based on the Indonesian Geospatial Information Agency Regulation (BIG) No. 6 of 2018 concerning RBI map accuracy, by comparing the RTK and PPK methods, as well as variations in flight altitude during UAV data acquisition. The research conducted in Lemo II Village, Teweh Tengah District, North Barito Regency, Central Kalimantan Province revealed that the highest horizontal orthophoto quality was achieved using the PPK correction method at a flight altitude of 120 meters, with a horizontal RMSE value of 0.048 meters and an accuracy of 0.073 meters, which meets Class 1 standards at a 1:1000 scale. These values were obtained from tests conducted on 15 ICP points. Additional tests performed to determine the significance of model and method differences indicated that variations in flight altitude and photo correction methods have a significant impact on horizontal orthophoto quality.
Perbandingan Volume Run Of Mine dengan Menggunakan Data Hasil Pengukuran Terrestrial Laser Scanner dan Unmanned Aerial Vehicle Ahmad Sohibul Borhan; Fajrin Fajrin; Dwi Arini
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 3 No. 3 (2025): Agustus : Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v3i3.1066

Abstract

Coal is one of the main energy sources and the largest contributor to national revenue; however, its management faces challenges related to limited availability and accuracy in reserve estimation. An essential aspect of mining management is monitoring the Run of Mine (ROM) volume, which plays a critical role in crushing, washing, and blending processes. This study aims to compare the accuracy of ROM volume measurements using Terrestrial Laser Scanner (TLS) and Unmanned Aerial Vehicle (UAV) methods in the production area of PT FAD, Berau Regency, East Kalimantan. A quantitative descriptive approach was employed, involving field data acquisition, three-dimensional modeling, and volume analysis using specialized software. The results show that ROM volume measured with TLS was 1,407.669 lcm, while UAV produced 1,387.357 lcm, with a difference of 20.312 lcm or 1.45%. This deviation is within the ASTM D6172-98 tolerance limit (<2%), indicating that both methods are valid. Although TLS offers higher accuracy, UAV is more effective and efficient in terms of measurement time, making it a reliable alternative for modern mining monitoring. This study provides practical insights for the mining industry in selecting ROM volume measurement methods that are not only accurate but also efficient in supporting sustainable operations and data-driven decision-making.
Analisis Perubahan Tutupan Lahan Tahun 2013 Sampai 2024 di Kota Pariaman Yollanda Septiani; Fajrin Fajrin; Defwaldi Defwaldi
Globe: Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan Vol. 3 No. 3 (2025): Agustus : Publikasi Ilmu Teknik, Teknologi Kebumian, Ilmu Perkapalan
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/globe.v3i3.1067

Abstract

This study aims to analyze land cover changes in Pariaman City in 2013, 2018, and 2024 using Landsat-8 imagery with the support of the Google Earth Engine (GEE) platform and the Classification and Regression Trees (CART) algorithm. Land cover change is a critical issue in Pariaman City, as population growth, infrastructure development, and economic activities have driven significant land conversion. The classification generated eight land cover classes representing the general condition of the area. The analysis revealed that rice fields were the dominant land cover in all three periods; however, they experienced a substantial decline, indicating land conversion, particularly into settlements and road networks. In addition, the area of mangrove forests and water bodies in coastal regions decreased, while plantation areas in the eastern and southern parts of the city increased. Conversely, river land cover remained the smallest category, with annual fluctuations. The identified change patterns included urban sprawl (expansion of settlements into suburban areas), the conversion of productive land into infrastructure, and coastal degradation due to human activities and natural factors. The accuracy assessment produced overall accuracy and a Kappa index above 80%, while validation using the Mapping Accuracy method through Google Earth showed per-class accuracy rates above 75%, categorized as very good. These findings indicate that the use of satellite imagery and the CART algorithm in GEE is effective for monitoring land cover dynamics while providing valuable insights for local governments in formulating sustainable development policies and managing coastal environments such as those in Pariaman City.