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Concrete Quality Analysis Based on Compressive and Splitting Tensile Strength Using Inferential Statistical Methods Rudyta, Muhammad Alifsyah Ananda; Eswan, Eswan; Mahendra, Wahyu
Journal of Applied Sciences, Management and Engineering Technology Vol 7, No 1 (2026)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2026.v7i1.8328

Abstract

This research aims to analyze the effect of using two types of coarse aggregates, Senoni and Palu, combined with silica sand as a fine aggregate replacement, on the compressive strength and split tensile strength of concrete. Tests were conducted at concrete ages of 7, 14, 21, and 28 days to observe the development of concrete strength over time. A total of 80 cylindrical specimens were prepared, consisting of 40 specimens using Senoni aggregate and 40 specimens using Palu aggregate, each tested for both compressive and split tensile strength.Statistical analysis using the independent sample T-test was applied to determine the differences in strength between the two types of aggregates. The results showed that there were significant differences in compressive strength at all testing ages, indicated by significance values (Sig.) 0.05 and t-calculated values greater than t-table, leading to the rejection of H₀ and the acceptance of H₁. This confirms that the physical characteristics of the aggregates have a significant effect on the compressive strength of concrete. In contrast, for split tensile strength, not all ages showed significant differences. Some ages produced Sig. values 0.05, indicating no statistically significant differences between the two aggregates under those conditions.Furthermore, a statistical correlation analysis between compressive strength and split tensile strength was conducted. The results indicated a moderately strong and positive relationship between these two parameters, although the strength of the correlation varied depending on the concrete age. Overall, this study confirms that the selection of coarse aggregate types plays an important role in concrete performance, both in resisting compressive loads and indirect tensile forces.
Evaluation of 30 MPa Concrete Strength Using Inferential Statistics and Control Charts Cholis, Noor Ainun; Eswan, Eswan; Mahendra, Wahyu
Journal of Applied Sciences, Management and Engineering Technology Vol 7, No 1 (2026)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2026.v7i1.8306

Abstract

This study aims to evaluate the quality and statistical control of 30 MPa concrete used in the construction of the Main Genset Building at Nusantara Capital City (IKN). The primary objective is to determine whether the concrete meets the design specifications and assess the statistical capability of its production process. A total of 69 concrete cylinder samples tested at 28 days were analyzed using two quantitative approaches: inferential statistics (normality test and one-sample t-test) and statistical quality control tools (control charts and process capability analysis).Descriptive statistical analysis revealed that the average compressive strength at 28 days reached 33.464 MPa, exceeding the target value of 30 MPa. The normality test confirmed a normal distribution, validating the use of the T-test, which showed a statistically significant and positive deviation from the design strength. Control chart analysis indicated that the production process was stable and statistically controlled, fulfilling the prerequisites for process capability evaluation.The process capability index (Cpk) was calculated at 1.101, suggesting that the production process is capable of meeting specification limits. However, the slightly lower Cpk compared to Cp (1.193) indicates a shift in the mean compressive strength toward the upper specification limit. The study concludes that the concrete quality meets design requirements with satisfactory process control, but recommends tighter control of material variability and adjustment of production settings to center the strength distribution, enhancing efficiency and reducing future quality risks.