Arie Putra Usman
Sriwijaya University

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Utilization of GPM Satellite and PERSIANN Satellite Data for Estimated Monthly Rainfall in South Sumatera Sakura Yulia Iryani; Febrinasti Alia; Muhammad Abiyyi Tauhid; Ahmad Muhtarom; Arie Putra Usman
U Karst Vol 6, No 2 (2022): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v6i2.3482

Abstract

Rainfall data are widely used to predict regional rainfall. Limited rainfall data is a problem that has an impact on decreasing accuracy, one of which is in the area of South Sumatra. This can be overcome by using satellites. However, to utilize satellitebased rainfall data, it is necessary to carry out an analysis to determine the accuracy of rainfall data. This research aims to evaluate rainfall data from the GPM satellite and PERSIANN satellite with validation and calibration analysis so that the value of rainfall data from the Satellite is close to the measurement result and can be used to estimate monthly rainfall. In this study, the data used were measured monthly rainfall in the field, GPM, and PERSIANN obtained from 9 South Sumatra districts for 2019 until 2021. The research method was validated using correlation coefficient, Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Calibration is done using a combination method, a solver algorithm in Microsoft Excel, and manually. The estimated monthly rainfall analysis is carried out using the isohyet method with the IDW interpolation method. The research results were obtained based on the validation and calibration of monthly rainfall data showing that data from the GPM showing it is closer to the results of field rainfall measurements than the data obtained from PERSIANN satellite. Based on the results of research on satellite data that has been calibrated, it can be used to estimate monthly rainfall in the South Sumatra Region
EFFECT OF HAUL ROAD GEOMETRY ON THE HAULER PRODUCTIVITY IN COAL MINING Mega Puspita; Bochori; Arie Putra Usman
Jurnal Pertambangan Vol. 10 No. 3 (2026): Agustus 2026
Publisher : Fakultas Teknik Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36706/0g7gwj92

Abstract

In surface coal mining, haul road geometry directly influences vehicle travel times, motion resistances, and production output. In May 2025, coal production at PT X reached only 95.49% (28,399.74 tons) of its 29,741 ton target due to geometric bottlenecks along the 1.45-km haul road. This study evaluates the haul road geometry against Kepmen ESDM No. 1827 K/30/MEM/2018 and AASHTO standards, analyzing the productivity gains after geometric redesign. Primary data were gathered via GNSS RTK and clinometers, followed by rimpull-based cycle time modeling on a fleet of five Hino 500 FM 280 JD dump trucks. Field results revealed geometric non-compliances, including an excessive 10.06% grade on segment B–C (standard max. 8%), narrow curve widths on segments F–G (13.56 m) and K–L (11.01 m) against the 14.57 m standard, and substandard superelevation across all curves. The actual single-truck cycle time averaged 17.43 minutes, producing 44.83 tons/hour. Following geometric improvements—cutting the B–C grade to 6.28% and widening curves—cycle time decreased by 8.77% to 15.90 minutes. Consequently, single-truck productivity increased to 49.14 tons/hour (total fleet: 245.70 tons/hour), driving monthly output to 31,130.19 tons (104.67% of the target, reflecting a 9.61% increase). Aligning mine haul road geometry with technical standards significantly optimizes hauling efficiency and ensures production targets are met.