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All Journal Rekayasa Sipil Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal Teknologi & Rekayasa Sipil International Journal of Sustainable Building, Infrastructure and Environment
Fikri, Muharram Nur
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Industrial & Manufacturing Engineering Mathematics

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The Effect of Cross-Sectional Shape of Pile Foundation on the Bearing Capacity and Settlement for the Kobema Bengkulu SPAM Filter Building Ibtisamah, Athiyyah Meisu; Misliniyati, Rena; Amri, Khairul; Fikri, Muharram Nur; Supriani, Fepy
Rekayasa Sipil Vol. 19 No. 3 (2025): Rekayasa Sipil Vol. 19 No. 3
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.2025.019.03.13

Abstract

This study aims to investigate the impact of dimensional variations on the bearing capacity and settlement of filter buildings in the Benteng Kobema Bengkulu Regional Drinking Water Supply System (SPAM), which has a capacity of 380 L/second and plays a crucial role in providing clean water to the community. Given the potential risk of the Mentawai Pagai Megathrust subduction earthquake, it is necessary to evaluate the bearing capacity and settlement of building foundations. Based on the results of the Standard Penetration Test (SPT), the effect of variations on bearing capacity and settlement can be determined using two types of pile cross-sections, namely square and circular, accompanied by differences in pile cross-section dimensions, namely 300 mm, 400 mm, 500 mm, and depths of 7 m, 9 m, 11 m, and 13 m. The comparison is based on the bearing capacity of the foundation and the settlement of the pile foundation for the filter building of the SPAM Kobema Bengkulu project, using several methods: Poulos and Davis, Reese and Wright, Luciano Decourt, and the Finite Element Method. The smallest settlement is obtained by comparing the total settlement with the allowable settlement, which is 10% of the diameter. The test results show that the bearing capacity, deflection magnitude, and smallest settlement are below the permissible settlement limit, which is less than 10% of the foundation dimensions. The comparison between the static and numerical methods, or the Bearing Capacity Ratio (BCR), is closer to 1, indicating a more efficient and safer approach. In this analysis, a BCR value approaching one was obtained for a square-section foundation with a size of 500 mm, using the Reese and Wright method at a depth of 9 m. This yielded a bearing capacity of 312.04 tons for a single pile and 207.69 tons for a group of piles.
Studi Kehandalan Kolom Batuan Sebagai Metode Mitigasi Likuefaksi Kawasan Reklamasi Jakarta Utara Fikri, Muharram Nur; Fitriansyah, Aidil
Jurnal Teknologi dan Rekayasa Sipil Vol. 5 No. 1 (2026): VOL 5 NO 1 (JULI 2026)
Publisher : Departemen Teknik Sipil, Fakultas Teknik Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jtrs.5.1.18-25

Abstract

Pertumbuhan penduduk Jakarta yang pesat telah mendorong pembangunan pulau-pulau reklamasi di pesisir utara kota tersebut. Namun, keberadaan lapisan pasir lepas yang tebal membuat kawasan ini sangat rentan terhadap likuefaksi. Penelitian ini bertujuan untuk memitigasi risiko tersebut dengan menginterpretasikan kondisi tanah hingga kedalaman 20 m menggunakan data SPT dan borehole yang tersebar di seluruh pulau. Dengan menyertakan data gempa Rengasdengklok tahun 2007 berkekuatan 7,5 Mw, studi ini menggunakan metode yang disederhanakan untuk menentukan Faktor Keamanan (FS) dan Indeks Potensi Likuefaksi (LPI). Teknik perbaikan tanah yang digunakan yaitu Stone Columns (SC) akan dievaluasi sebagai alternatif desain. Untuk memastikan efisiensi biaya, metode didesain dengan target FS sebesar 1,20. Hasil penelitian menunjukkan bahwa metode SC memerlukan diameter 1 m dengan jarak antar kolom 1,5–3,5 m. Desain perbaikan tanah diterapkan menggunakan pola segitiga untuk memaksimalkan stabilitas tanah dan memitigasi potensi likuefaksi secara efektif.
Compound Coastal Flood Risk and Infrastructure Loss Estimation in Bengkulu City Indonesia under SeaLevel Rise Using Google Earth Engine and OpenStreetMap Fitriansyah, Aidil; Fikri, Muharram Nur
International Journal of Sustainable Building, Infrastructure and Environment (IJOSBIE) Vol 7, No 1 (2026)
Publisher : Science and Technology Research Centre, Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/ijosbie.v7i1.27662

Abstract

Bengkulu City, Indonesia, is facing increasing risks due to sea-level rise (SLR), yet risk assessments based on regulations are still absent for secondary coastal cities. This study models the compound flood hazard for three scenarios (+1.28 m, +2.13 m, +3.00 m) using Google Earth Engine, GIS and OpenStreetMap, to produce inundation zones of 12.64–77.76 ha. The five-class risk map generated by the Coastal Vulnerability Index weighted by AHP (CR = 0.016) covers 1,058.83 ha. Under Scenario B (2100, SSP5-8.5), the infrastructure exposure includes 22 buildings and 9.33 km of roads. Public facilities are excluded from the quantitative loss estimation because the buffer sensitivity analysis (200–1,000 m) shows 333–335 of 336 city amenities at all distances, indicating non-discriminating coverage. Confirmed direct replacement losses based on Kepmen PUPR No. 943/KPTS/M/2024, SE DJBK No. 68/2024 and Bengkulu IKK = 94.20, total IDR 47.1–102.0 billion across scenarios (Scenario B: IDR 86.1 billion). The loss due to annual maintenance is IDR 896 million/year (Pergub Bengkulu No. 25/2025). The regulation-compliant approach is transferable to other Indonesian secondary coastal cities as long as the site-specific VLM assessment is performed.
Integrating Finite Element Analysis and Machine Learning to Predict the Bearing Capacity of Strip Footings on Slopes Kurniawan, Aditya Dwi; Mase, Lindung Zalbuin; Fikri, Muharram Nur; Misliniyati, Rena; Fitriansyah, Aidil
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 8 No. 2 (2026): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v8i2.16161

Abstract

Predicting the ultimate bearing capacity (qult) of strip footings on slopes remains a major challenge in geotechnical engineering, as classical methods were developed for level ground and lose reliability for complex slope-foundation geometries. Although finite element analysis (FEA) provides better accuracy, its high computational cost limits large-scale parametric studies. This study proposes a hybrid FEA–machine learning (ML) framework to estimate qult of strip footings on slopes, overcoming the accuracy limitations of existing analytical solutions for different slope-foundation configurations. The dataset of 600 finite element simulations was developed under the Mohr-Coulomb plane strain constitutive framework. Six variables were examined: unit weight (γ), cohesion (c), friction angle (φ), applied load (P), foundation width (B), and embedment depth (Df). Seven predictive models were developed: multiple linear regression, polynomial regression, support vector regression, decision trees, random forests, k-nearest neighbors, and extreme gradient boosting (XGBoost). Model performance was assessed using R², RMSE, MAPE, and the a20 index, with R² and RMSE as the primary ranking criteria, while Shapley Additive Explanations (SHAP) were applied to interpret feature contributions. XGBoost has the highest prediction accuracy on both the training and test datasets. It is followed by Support Vector Regression (SVR). The most influencing parameter in all seven models was the foundation depth (Df), followed by the friction angle (φ) and the foundation width (B), while the slope angle consistently decreased the predicted bearing capacity. The results confirm the accuracy, interpretability, and computational efficiency of the integrated FEA-ML approach as an alternative to traditional bearing capacity analysis.
Co-Authors Aidil Fitriansyah Ibtisamah, Athiyyah Meisu Khairul Amri kurniawan, aditya dwi Lindung Zalbuin Mase, Lindung Zalbuin Misliniyati, Rena Supriani, Fepy