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Artificial Neural Network Method for Predicting Compressive Strength of Normal Concrete Makrifa, Auliya; Darayani, Dhiafah Hera; Prasetiawan, Jauhari; Juanita, J
JACEE (Journal of Advanced Civil and Environmental Engineering) Vol 7, No 2 (2024): October
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/jacee.7.2.171-177

Abstract

Lombok Island is an archipelago that has a source Natural resources such as sand and gravel are abundant. This material is one of the components of concrete. Concrete is a frequently used material in Indonesia. Compressive strength testing of concrete typically requires a large number of samples and a considerable amount of time. To expedite and simplify this process, researchers employ computer-based intelligence techniques, namely the Artificial Neural Network (ANN) method. This research involved a series of laboratory tests for normal concrete's compressive strength. The obtained data was then processed using MATLAB with the ANN modeling method for training. The research results indicated a Mean Absolute Percentage Error (MAPE) of 0.02% during the training process and 1.54% during testing. This demonstrates that the developed ANN modeling exhibits a high level of accuracy with low error. Therefore, the empirical formula obtained can be used for predicting the compressive strength of normal concrete with a good degree of precision.
MSME Program Innovation for Pineapple Processing in Gunungtiga Village by KKN UMP Group 069: Inovasi Pengolahan Nanas Desa Gunungtiga KKN UMP Kelompok 069 Program UMKM Haryati, H; Amin, Muhammad Alif Hafidzun; Riskyana, Queenanita; Zaida, Sabita Ilma; Maghfiroh, Wina Kharista; Juanita, J; Anjarwati, Sulfah
Prosiding University Research Colloquium Proceeding of The 18th University Research Colloquium 2023: Bidang Pengabdian Masyarakat
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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Abstract

Inovasi pengolahan suatu produk merupakan hal yang sangat penting dalam kemajuan dalam sebuah perusahaan, hal ini tidak lepas pada Usaha Mikro Kecil dan Menengah (UMKM) adalah sektor ekonomi nasional yang paling strategis dan menyangkut hajat hidup orang banyak sehingga menjadi tulang punggung perekonomian Nasional. Namun masalah yang dihadapi oleh usaha ataupun industri kecil kebanyakan adalah pengelolaan industri dan pemasaran. (Hartuti et al., 2022) Dengan pengabdian masyarakat terkait pendampingan UMKM pada jenis makanan pienanas diharapkan dapat memberikan solusi UMKM. Metode penyelesaian masalah yang digunakan berdasar pada pendekatan manajemen dalam meningkatkan hasil produksi dan hasil penjualan dengan 3 (tiga) tahapan pelaksanaan program yaitu persiapan, pelaksanaan serta monitoring dan evaluasi. Program yang dilakukan adalah dengan inovasi kemasan dan perluasan pemasaran pada sosial media serta pasar besar.