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All Journal Journal of Advanced Civil and Environmental Engineering Jurnal Pengabdian UNDIKMA
Dhiafah Hera Darayani
Universitas Islam Al-Azhar
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Artificial Neural Network Method for Predicting Compressive Strength of Normal Concrete Auliya Makrifa; Dhiafah Hera Darayani; Jauhari Prasetiawan; J Juanita
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.
Diversifikasi Produk Ikan untuk Solusi Peningkatan Ekonomi Kreatif Masyarakat Pesisir di Desa Sambik Elen Kabupaten Lombok Utara Arista Suci Andini; Dhiafah Hera Darayani; Muhammad Ikhsan Kamil; Hardoko Hardoko; Gatut Bintoro; Rosalina Edy Swandayani; Alvin Juniawan
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.18789

Abstract

This community service program aims to enhance the knowledge and skills of members of the Karang Taruna youth group and local fishing groups through the application of appropriate technology in fisheries product diversification in Sambik Elen Village, North Lombok Regency. The program was implemented using a participatory approach through training in the production of fish floss and fish nuggets, as well as the use of an oil-draining spinner and product packaging techniques. Evaluation was conducted at the beginning and end of the program using pre-test and post-test instruments. The results indicate a significant improvement in partners’ knowledge and skills, reaching 92%, in processing fish catches into higher-value and longer-lasting products. The program emphasizes financial self-reliance and entrepreneurship by optimizing local potential to create sustainable flagship products, while simultaneously reducing dependence on raw fish sales and minimizing economic losses among fishermen.
Co-Authors Alvin Juniawan Andini, Arista Suci Auliya Makrifa Gatut Bintoro Hardoko Hardoko J Juanita Jauhari Prasetiawan Muhammad Ikhsan Kamil Rosalina Edy Swandayani