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Comparative Analysis of Concrete Compressive Strength Using GGBFS as a Cement Substitute for Normal Concrete Achmad Trie Mashuri; Ahmad Yudi; Ayu Sinta Aprilia
Journal of Civil Engineering and Planning (JCEP) Vol. 5 No. 2 (2024)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v5i2.10046

Abstract

Building constructions found in Indonesia generally use concrete as the main structural material. This research aims to analyze the use of ground granulated blast furnace slag (GGBFS) as a cement substitute in concrete mixtures using the Analysis of Variance method (Anova) and the Tukey Method. The GGBFS levels used are 0%, 25%, 30%, 35%, 40% and 45% as cement substitute. The average compressive strength values ​​obtained for each sample were 25.08 MPa, 25.1 MPa, 25.7 MPa, 25.9 MPa, 26.4 MPa, 27.7 MPa and 26.2 respectively. MPa. The compressive strength value continues to increase with the highest compressive strength value at 40% and decreasing again at 45%. The use of ggbfs requires an activator to accelerate the mechanical properties of ggbfs itself. The activator used is NaOH with a concentration of 4 Mol.
Analisis Pengaruh Penambahan GGBFS Sebagai Substitusi Semen Terhadap Kuat Tekan dan Flowability pada Beton SCC Muhamad Alfidya Wildani; Ahmad Yudi; Ayu Sinta Aprilia
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 11 No. 2 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol11.iss2.2025.2497

Abstract

Self Compacting Concrete (SCC) is a modern concrete innovation that has the ability to flow and compact itself without the help of a vibration device. SCC concrete has almost the same composition as normal concrete, only the difference in the viscosity produced. The use of superplasticizer in SCC concrete is needed to improve the flowability of concrete without reducing the strength of the concrete. The purpose of this study is to analyze the influence resulting from the use of GGBFS as a cement substitution on the value of flowability, passing ability, and compressive strength applied to SCC concrete. The variation of GGBFS used was 0%; 5%; 10%; 15%; 20%; and 25% and the addition of a superplasticizer of 1.2% of the total weight of cement. The planned compressive strength is 40 MPa with the procedure for making concrete referring to SNI 7656 – 2012. The flowability and passing ability tests carried out are slump flow, L-box test, and V-funnel. The test results show that the use of GGBFS will affect the flowability and passing ability and increase the compressive strength as the GGBFS used increases. The maximum compressive strength occurred at a 20% GGBFS variation of 43.687 MPa.
Comparative Assessment of Empirical Methods for Bored Pile Capacity Prediction Against Static Load Test Data in Indonesia Rahmat kurniawan; Chindy Akila; Rifky Fauzi; Ayu Sinta Aprilia; Yunita Asni; Ahmad Auliadi Y
Rekayasa Sipil Vol. 20 No. 2 (2026): Rekayasa Sipil Vol. 20 No. 2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2026.020.02.11

Abstract

Accurate estimation of the bearing capacity of bored-pile foundations is essential to ensure both the safety and cost-effectiveness of foundation design. However, empirical design formulas are derived from simplified assumptions and may not fully represent actual soil–pile behavior in the field, leading to overestimation or underestimation of capacity if their performance is not carefully evaluated. This study compares the predictive performance of three SPT-based empirical methods—Meyerhof (1976), Reese & Wright (1977), and O’Neill & Reese (1999)—against Static Load Test (SLT) results interpreted using the Davisson, Chin, and Mazurkiewicz methods. A database of 10 bored-pile projects from various regions across Indonesia was analyzed. Given the limited sample size (n = 10), all findings are presented as preliminary evidence rather than definitive conclusions, and statistical estimates carry substantial uncertainty that should inform interpretation. Statistical evaluation employed correlation analysis (r, R²), bias factor (?), coefficient of variation (COV), and mean absolute percentage error (MAPE). Results indicate that the O’Neill & Reese method demonstrates the strongest correlation with Davisson-interpreted SLT results (R² = 0.853), while the Meyerhof method yields a mean bias factor closest to unity (? = 1.00). A performance ranking matrix is informed by concepts commonly adopted in LRFD calibration studies. These results indicate that differences in predictive performance reflect how each empirical formulation represents field behavior and suggest differentiated use of methods depending on the design stage. However, recommendations require validation against larger databases before widespread adoption.