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All Journal MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Pasopati : Pengabdian Masyarakat dan Inovasi Pengembangan Teknologi
Khasani, Riqi Radian
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering

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Model Berbasis Kecerdasan Buatan untuk Prediksi Kekuatan Beton Geopolimer Khasani, Riqi Radian; Hermawan, Ferry; Khitam, Akhmad Firdos Khoiril
MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 1, JULI 2025
Publisher : Department of Civil Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/mkts.v31i1.70716

Abstract

Geopolymer concrete (GPC) has emerged as a sustainable alternative to conventional concrete, offering reduced carbon emissions and enhanced mechanical properties. However, variability in compressive strength due to material composition poses challenges to its broader adoption. Traditional evaluation methods are often time-consuming and resource-intensive, necessitating the development of precise and efficient predictive tools. This study introduces the optimized least squares moment balanced machine with feature selection (OLSMBM-FS), an advanced AI-based model for accurately predicting GPC compressive strength. The model incorporates backpropagation neural networks (BPNN) for weight assignment, least squares support vector machines (LSSVM) for hyperplane optimization, and the optical microscope algorithm (OMA) for hyperparameter tuning. The study employs a systematic dataset, implementing normalization and feature selection techniques to improve the accuracy and efficiency of the model training process. The OLSMBM-FS was validated using 10-fold cross-validation and demonstrated superior performance compared to other machine learning models. It achieved the lowest RMSE (4.279), MAE (2.291), and MAPE (6.59%), alongside the highest R (0.901) and R² (0.813), confirming its robustness and predictive accuracy. These findings highlight the potential of OLSMBM-FS as a reliable tool for predicting GPC compressive strength, supporting its broader application in sustainable construction practices.
PERBAIKAN TEKNIS DINDING PENAHAN TANAH PERUMAHAN GEDAWANG PERMAI III SEMARANG Hermawan, Ferry; Khasani, Riqi Radian; Hani’a, Audiyati Ishmata; Indarto, Himawan; Hatmoko, Jati Utomo Dwi; Febrianto, Deffa Jati; Wahyono, Ashrie Nur Ghaisani; Amperawan, Iswanto
Jurnal Pasopati Vol 8, No 1 (2026): Februari
Publisher : Fakultas Teknik Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pasopati.2026.31142

Abstract

Kawasan perumahan di daerah perbukitan memiliki kerentanan tinggi terhadap bencana tanah longsor, khususnya akibat kegagalan Dinding Penahan Tanah (DPT) yang menerima gaya lateral tanah. Pengabdian kepada masyarakat ini dilaksanakan di Perumahan Gedawang Permai III, Kota Semarang, sebagai respons atas kebutuhan masyarakat dan pengembang terhadap peningkatan keselamatan struktur. Metode pengabdian meliputi observasi lapangan, investigasi tanah melalui pengeboran, analisis teknis stabilitas, perencanaan desain perkuatan DPT, serta pelaksanaan perbaikan di lapangan. Hasil investigasi menunjukkan kondisi tanah berupa lanau lempungan dengan konsistensi lunak hingga teguh yang berpotensi menurunkan stabilitas struktur. Berdasarkan analisis tersebut, disusun desain perkuatan DPT dan dilaksanakan pekerjaan perbaikan berupa pemasangan tiang pondasi, pembuatan sloof, serta perkuatan dinding bawah. Pelaksanaan perkuatan DPT berhasil meningkatkan stabilitas dan keamanan struktur, sehingga dapat mengurangi risiko longsor pada kawasan perumahan. Kegiatan ini memberikan manfaat langsung bagi masyarakat dengan meningkatkan keselamatan lingkungan hunian serta menjadi bentuk penerapan solusi teknis berbasis rekayasa dalam kegiatan pengabdian kepada masyarakat.
Co-Authors Amperawan, Iswanto Febrianto, Deffa Jati Ferry Hermawan Hani’a, Audiyati Ishmata Himawan Indarto Jati Utomo Dwi Hatmoko Khitam, Akhmad Firdos Khoiril Wahyono, Ashrie Nur Ghaisani