CD Skripsi
Korelasi Empiris Nilai Cbr Dan Nilai Hcp Menggunakan Tanah Dengan Komposisi Lempung Bentonite, Kaolin, Dan Pasir
ABSTRACT
This study aims to develop an empirical equation to predict the California Bearing
Ratio (CBR) based on the results of the TVA Penetrometer (Hand Cone Penetrometer)
test on soft soils, particularly in coastal areas. Soil samples were prepared by mixing
bentonite clay, kaolin, and sand, then compacted and tested in the laboratory to obtain
CBR values and QcTVA readings. Stepwise regression analysis was conducted using
four parameters: CBR, QcTVA, water content, and dry density. The results indicated
that only QcTVA was statistically significant as a predictor. The resulting regression
model achieved a coefficient of determination (R²) of 0.70, a p-value of 1.90055E-17,
and good accuracy with an MSE of 3.214, RMSE of 1.793, and MAE of 1.295. These
findings suggest that QcTVA can be practically used to estimate CBR values without the
need for direct field testing that requires heavy equipment. However, the model has
limitations and is not suitable for soils with high CBR values, thus its application is
recommended only for soft soils or soils with similar characteristics commonly found
in coastal areas.
Keywords : CBR, TVA Penetrometer, QcTVA, coastal soil, stepwise regression
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