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Asri Fridtriyanda
Universitas Palangka Raya, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Analisis Productivity PC 300 pada Kegiatan Coal Getting di PT. Asmin Bara Bronang Maura Rahmawati; Yustinus Hendra Wiryanto; Yos David Inso; Hepryandi Luwyk Djanas Usup; Asri Fridtriyanda
JURAL RISET RUMPUN ILMU TEKNIK Vol. 5 No. 2 (2026): : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v5i2.8904

Abstract

This study was conducted at PT. Asmin Bara Bronang, Sepan Uring Village, Kapuas Tengah District, Kapuas Regency, Central Kalimantan Province, with the aim of analyzing the productivity and influencing factors of the PC 300 excavator in coal getting activities to support the achievement of production targets. The objective of this research is to analyze the actual productivity and the factors affecting it in Sector 7 coal getting operations. The research method used field observation with a quantitative descriptive analysis approach. The results show that the productivity of the PC 300 excavator ranges from 127.12 to 224.29 tons/hour, with an average of 173.98 tons/hour. In several conditions, the productivity is still below the company’s target of 180 tons/hour. The analysis indicates that productivity is influenced by material conditions, particularly the Hardgrove Grindability Index (HGI) value of 47, which reflects relatively harder material with coarser particle size, and a moisture content of 22.71%, causing the material to be sticky and cohesive, thereby affecting the bucket filling process. In addition, operational factors such as bottom loading patterns, limited number of tailgate dump trucks, and suboptimal selection of dump truck types also contribute to productivity performance.  Based on the findings, it can be concluded that the productivity of the PC 300 excavator has not consistently met the company’s target. Therefore, improvement efforts are required, including the implementation of top loading methods, increasing the number of tailgate dump trucks, optimizing the selection of hauling equipment, and controlling material conditions that affect the digging process.    
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): : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

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 Agustiani , Reni Albertho Paays Albertus Niko Liswanto Alfito Dean Wicaksana Anafiati, Ika Arsi Andi Pranajati Anisa Ariyantho, Dody Deddy Tanggara Dimas Pangestu Dinata, Alfasa Ardi Dwi Herniti Dwi Herniti Enzelina Silaban, Yunita Fahrul Indrajaya Ferdinandus Ferdinandus Ferdinandus, Ferdinandus Ferra Murati Fidayanti, Neny hasywir thaib siri, hasywir thaib Hendra Wiryanto, Yustinus Hepriyandi L. Djanas Usup Hepryandi Luwyk Djanas Usup Herniti, Dwi Heru Dwiriawan Sutoyo I Putu Putrawiyanta Ika Arsi Anafiati Inso, Yos David Ira Mughni Pratiwi Kristianti, Novera Lutfiana, Alifah Luwyk Djanas Usup , Hepryandi Maura Rahmawati Neny Sukmawatie Noveriady Onie Dian Sanitha Purba, Muhammad Kanaya Sakti, Hakim Erlangga Bernado Saptawartono, Saptawartono Simamora, Andre Sri Rahmawati Taruna, Yulian Usup, Hepryandi L. Djanas Warniningsih Waruwu, Valentinus Waterman S B Widanti, Brigita Christi Wijaya, Dody Ariyantho Kusma Wiryanto Wiryanto Wiryanto, Yustinus Hendra Yeremia Permana Jurianta Sembiring Yunida Iasahnia Yunida Iashania Yusias Andri Yustinus Hendra Wiryanto