Publication Search

70,607 articles from 615 journals · 1,760 citations tracked

Showing 1-3 of 3

Analytics

Widya Lestari; Hepriyandi Luwyk Djanas Usup; Yustinus Hendra Wiryanto; Novalisae Novalisae; I Putu Putrawianta

Jurnal Riset Rumpun Ilmu Teknik 2026 Pusat riset dan Inovasi Nasional

Coal hauling activities are an important part of mining operation because they affect production continuity, cycle time efficiency, and operational safety. This study aims to analyze the requirements of road support equipment on the coal hauling road from Sector 4 to the new Coal Processing Plant (CPP) at PT. Asmin Bara Bronang, Central Kalimantan. Based on road geometry, traffic density, California Bearing Ratio (CBR), and Unsurfaced Road Condition Index (URCI). The research method used was applied research with a quantitative approach. Primary data ware collected through field measurements consisting of road geometri observations, traffic density observations, Dynamic Cone Penetrometer (DCP) testing to obtain CBR values, and road surface condition assessment using the URCI method. Secondary data were obtained from the company records. The results showed that the hauling road has a total length of 9.1 km with an average width of 16 m, and grade values ranging from -7.68% to 10.52%, which are still below the maximum standard of 12%. Traffic density reached 184 dump trucks/day, for coal hauling and 62 units/day for construction material transportation, indicating high traffic intensity. CBR values ranged from 7% to 100%, showing variations in subgrade bearing capacity. The URCI value ranged from 72,50 to 91.00, indicating fair to good road conditions. Based on the analysis of road conditions and maintenance area requirements, the recommended support equipment for maintaining the hauling road consists of 1 motor grader unit, 1 compactor unit, 1 bulldozer unit, and 1 water truck unit.

Sahrul Ramadhana; Revia Oktaviani; Lucia Litha Respati; Agus Winarno; Windhu Nugroho

Venus: Jurnal Publikasi Rumpun Ilmu Teknik 2025 Asosiasi Riset Ilmu Teknik Indonesia

Mining roads play an important role in supporting the smooth running of mining activities, especially in the process of transporting materials. The bearing capacity of the soil as a road subgrade greatly affects the stability and resistance of the road to heavy equipment loads. This study aims to analyze the effect of the plasticity index and compaction parameters on the California Bearing Ratio (CBR) value, as well as to determine the thickness of the road layer based on the laboratory CBR value. Testing was carried out at the South Pit of PT. Bina Sarana Sukses site PT. Baramulti Suksessarana with a field test method using the Dynamic Cone Penetrometer (DCP) and laboratory tests such as proctor tests, Atterberg limit tests, and CBR tests on various variations of clay and sand soil mixtures. The results showed that increasing the plasticity index decreased the CBR value, while increasing the maximum dry density and decreasing the optimum water content increased the CBR value. Based on the laboratory CBR value, recommendations were obtained for the appropriate road layer thickness to ensure optimal bearing capacity for heavy equipment passing through the research area.

Riandana Rizky Praja; Budi Priyanto

ISAINTEK: Jurnal Informasi, Sains dan Teknologi 2022 Politeknik Negeri FakFak

Soil in a construction must have a high soil density value, a high soil density value affects the carrying capacity of the soil in carrying the load on it. dynamic cone penetration test / DCP (Dynamic Cone Penetrometer) is often performed. To get the CBR value, the DCP test results are correlated with a DCP-CBR Value Correlation formula. However, to anticipate deficiencies in the CBR-DCP correlation test, it is necessary to correct it with the DCP-CBR Correlation Formula from the Ministry of Public Works and Housing which is generally accepted for all regions of Indonesia. This research was conducted by conducting DCP tests at 8 points in the field and then taking soil samples which would then be taken to the laboratory to test the physical properties of the soil. After all the data has been obtained, then analyze and formulate the DCP – CBR correlation formula and compare it with the correlation formula. After doing the research, it is found that the DCP – CBR correlation formula model studied has the formula Log CBR = 3.2322 – 1.512 Log DCP, where this formula is generally in accordance with the DCP – CBR correlation formula from the Ministry of Public Works because of the position of the curve. slightly above the curve of the DCP-CBR Correlation formula of the Ministry of PUPR