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All Journal MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Pengabdian Kesehatan
Khitam, Akhmad Firdos Khoiril
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Civil Engineering, Building, Construction & Architecture Health Professions Medicine & Pharmacology Nursing Public Health Veterinary

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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 (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.
Edukasi Pencegahan Jatuh Melalui Pemasangan Alat Keselamatan Rumah pada Lansia Apriliyasari, Renny Wulan; Khitam, Akhmad Firdos Khoiril; Wulan, Emma Setiyo; Purwandari, Nila Putri
Jurnal Pengabdian Kesehatan Vol 9, No 2 (2026): Jurnal Pengabdian Kesehatan
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) STIKES Cendekia Utama Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31596/jpk.v9i2.622

Abstract

Jatuh merupakan salah satu penyebab utama cedera dan penurunan kualitas hidup pada lansia. Risiko jatuh dipengaruhi oleh faktor internal seperti penurunan keseimbangan dan kekuatan otot, serta faktor eksternal seperti lingkungan rumah yang tidak aman. Kurangnya pengetahuan lansia dan keluarga mengenai pencegahan jatuh serta minimnya penggunaan alat keselamatan rumah menjadi permasalahan yang sering ditemukan di masyarakat. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengetahuan dan keterampilan lansia serta keluarga khususnya yang merawat lansia dalam mencegah risiko jatuh melalui edukasi kesehatan tentang pemasangan alat keselamatan sederhana di rumah. Metode yang digunakan adalah penyuluhan kesehatan berbasis komunitas melalui ceramah, diskusi, dan demonstrasi pemasangan alat keselamatan seperti handrail, karpet anti-slip, dan kursi mandi. Media yang digunakan meliputi leaflet, presentasi visual, serta demonstrasi alat. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta mengenai faktor risiko jatuh, upaya pencegahan, serta penggunaan alat keselamatan rumah. Peserta juga mampu mempraktikkan penggunaan alat dengan benar dan menunjukkan antusiasme selama kegiatan berlangsung. Kegiatan ini menunjukkan bahwa edukasi yang terstruktur dan disertai praktik langsung efektif dalam meningkatkan kesadaran dan keterampilan lansia dalam mencegah jatuh.
Co-Authors Emma Setiyo Wulan, Emma Setiyo Ferry Hermawan Khasani, Riqi Radian Nila Putri Purwandari, Nila Putri Renny Wulan Apriliyasari, Renny Wulan