Publication Search

Bintan Island has abundant bauxite soil resources; however, its utilization as road construction material remains limited. The scarcity of high-quality granular material in the region necessitates the use of available local resources, particularly for pavement subgrade layers. This article aims to analyze the classification and mechanical properties of native soils in Bintan Island through a systematic literature review. The reviewed literature includes laboratory test results of bauxite soil. The findings indicate that bauxite soil exhibits low plasticity, relatively high CBR values (±35%), and is classified as CL (USCS) and A-2-4 (AASHTO). These results suggest that bauxite soil is suitable for subgrade applications, although require stabilization with binding agents. The implication of this review highlights that the utilization of local materials could support sustainable infrastructure development in island regions by reducing dependency on imported materials.  

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.

Riau is one of three provinces with dominant peatlands. Indragiri Hulu Regency is the sixth largest district with the largest area of ​​peatland with a value of 222 thousand hectares. Particularly in Sekip Hilir Village, Rengat District, Indragiri Hulu Regency, there is quite extensive peatland and in this location there is infrastructure in the form of Jalan Rengat – Bukit Meranti. The construction of road infrastructure on peatlands has experienced many problems. This is because peat soil has a very low carrying capacity so that the settlement that occurs is large and unable to support the work load. Stabilization efforts are needed to improve the carrying capacity of peat soils. Stabilization on peat soil will be carried out chemically using lime as a stabilizing mixture with variations of 5%, 10% and 15%. From the results of the tests carried out, namely the addition of lime variations to the peat soil stabilization mixture is proven to increase the CBR (California Bearing Ratio) value. The CBR value of peat soil mixture with the addition of 5% lime was obtained at 17.28%. At the addition of 10% lime the CBR value increased to 21.81% and at the addition of 15% lime it increased to 30.04%. From the CBR value of peat soil with variations in lime mixture obtained, the authors prove that an addition of ≥ 5% has been able to achieve a laboratory CBR standard value of 17.28% and has met the Bina Marga specifications for road pavement subgrade, namely ≥ 6%. .    

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