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All Journal Jurnal Ilmiah Poli Rekayasa Rekayasa Mesin INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Serambi Engineering JURNAL PENDIDIKAN TAMBUSAI Ensiklopedia of Journal Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Journal of Institution And Sharia Finance Jurnal Teknik Mesin JRTI (Jurnal Riset Tindakan Indonesia) ULIN: Jurnal Hutan Tropis Jurnal Agroplasma Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Teknik Industri Terintegrasi (JUTIN) SUPERMAT (JURNAL PENDIDIKAN MATEMATIKA) Tangible Journal Unri Conference Series: Community Engagement Jurnal Mesin Nusantara Daengku: Journal of Humanities and Social Sciences Innovation Media Perspektif Journal of Education Research PERWIRA - Jurnal Pendidikan Kewirausahaan Indonesia Indonesian Community Journal Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan Journal of Computer Science and Information Systems (JCoInS) METAL : Jurnal Sistem Mekanik dan Termal Dulang: Jurnal Pengabdian Kepada Masyarakat JURNAL ILMU MANAJEMEN SABURAI (JIMS) Liabilitas : Jurnal Ilmiah Akuntansi dan Ekonomi El-Rusyd Journal of Training and Community Service Adpertisi Journal Liaison Academia and Society Innovative: Journal Of Social Science Research Accounting Information System, Taxes, and Auditing Journal (AISTA) Geographica: Science and Education Journal Amsir Accounting & Finance Journal Jeinsa : Jurnal Ekonomi Ichsan Sidenreng Rappang Jurnal Sipakatau Seroja Husada: Jurnal Kesehatan Masyarakat Jurnal Polimesin IJIMCE : International Journal of Innovation in Mechanical Construction and Energy Jurnal Sistem Informasi, Akuntansi dan Manajemen Jurnal Pemikiran dan Pengembangan Pembelajaran JAPEPAM, Jurnal Pengabdian kepada Masyarakat Jurnal Akademik Pengabdian Masyarakat Ichsan Sidenreng Rappang
Adriansyah Adriansyah
Teknik Mesin, Politeknik Negeri Padang
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Journal : Rekayasa Mesin

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PERANCANGAN METODE MACHINE LEARNING BERBASIS WEB UNTUK PREDIKSI SIFAT MEKANIK ALUMINIUM Desmarita Leni; Arwizet K; Ruzita Sumiati; Haris Haris; Adriansyah Adriansyah
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1370

Abstract

The main objective of this research is to design a web-based machine learning model that can predict the mechanical properties of aluminum based on its chemical composition. By inputting nine variables of chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, and Si, the model is able to provide predictions for two output data, Yield Strength (YS) and Tensile Strength (TS). The research aims to understand the relationship between chemical composition and mechanical properties of aluminum, and to develop a tool that can be used to predict these properties with a high level of accuracy. Overall, the goal of this study is to enhance the understanding of the properties of aluminum and how it can be utilized in various applications. This study designs a web-based machine learning modeling to predict the mechanical properties of aluminum in the percentage of chemical composition, where the input data in the modeling consists of 9 variables of chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, Si, and has 2 output data consisting of Yield Strength (YS) and Tensile Strength (TS). The modeling machine learning is designed using the Python programming language and additional libraries such as Pandas, Numpy, Scikit-learn, and Streamlit. The modeling in this study uses three algorithms consisting of Decision Trees (DT), Random Forest (RF), and Artificial Neural Network (ANN). Each algorithm is optimized with the best search parameters, and where the RF algorithm has better performance than DT and JST. The best modeling uses the RF algorithm with optimal parameters of number of trees at 20 and maximum depth of 10, with MAE values of 11.44, RMSE of 14.282, and R of 0.93 for Yield Strength (YS) predictions, and for Tensile Strength (TS) predictions, MAE values are obtained. 21,669, RMSE 27,301, and R 0.871. 
Co-Authors -, Nasrullah - Abbas, Muhammad Rabiu Abdilla, Abdilla Abdul Halim Achmad Ridha Adevi, Isye Rahayu Afrizul Evendi Alimir, Immatul Jannah Alimuddin Alimuddin Ambiyar, Ambiyar Anas, Agung Muliaman Andi Faisal, Andi Andi Irfan, Andi Andi Nurrahma Gaffar Angelia, Nike Aninda, Aninda Anisa Anisa Anisatun Humayrah Rais Aprilman, Devia ARDIANSYAH ARDIANSYAH Arie Kartika, Arie Arjuna, Arjuna Arwizet Arwizet, Arwizet Asmar Asmar, Asmar Azis, Fajriani Baso Cante Bayu, Eka Pasca Surya Br. Ginting S, Chris Dayanti Brian, Brian Candra Mayana, Hendri Chandradewana Boer Charlina, Charlina Chatarina Umbul Wahyuni Dammar, Tria Haryuni Darman Dapersal Dinar Dayanti Br Ginting, Chris Dedi Erawadi Denny, Recka Deprian, Ivmal Desmarita Leni Deviya Aprilman Diani, Diani Dini Mufriah Eko Hariyadi Eko Saputro Eltias, Yumna Elvis Adril Fadly, Ftrya L Fahri Reza Fajri Arsyah, Ahmad Hasnul Fajri, Ahmad Hasnul Fardinal Fardinal Femi Earnestly Firman, Muh. Fikri Fitrianti Fitrianti, Fitrianti Fuad Fuad Gaffar, Andi Nurrahma Gusriani, Yunda Hadi, Arief Rachman Hajar, Abdul Haris Haris Haris Haris, Haris Hartinah H, Dwi Ayu Siti Hasan Basri Hasisa Haruna Hastharita, Rafiqa Hawari, Abdullah Helga Yermadona Hendra Hendra Herlambang, Heru Hidayat, Muhamad Fikri Huda, Asrul Humairah Rais, Anisatun Ibnul Nanda Rianza Jana Hafiza Jumyetti Jumyetti Junaidi - - Jusfita, Jusfita Kamil, Muhammad Aslam Lisdayani Lisdayani, Lisdayani Magdalena Magdalena Mangkona Mangkona Manuhutu, Tirza MGB, A. ilmadana Misdawati, Misdawati Muchlisinalahuddin Muh Anhar Muhammad Syaifudin Mukhayar, Riki Mukti Hakim Musaddiq Rahman, Ahmad Nasiruddin Mushoddiq Rahman, Ahmad Nashiruddin Muttaqin, Alif Hilman Nandi Pinto Nasirwan Nasirwan Natalya, Nita Nofriadi Nofriadi Nofriyanti, Elsa Nusyirwan Nusyirwan Parinduri, Nurul Azizi Parinduri, Ramadha Yanti Pasira, Ira Pasulu, Milka Paulus Matius PURWANTI, EMI Rachmat Budiwijaya Suba Rama, Hilfama Ramlah Ramlah Ramza, Robi Razali, Muhammad Riezky Idvi Alfitra Rina Rina Rivanol Chadry Rizaldy, Rizaldy Robby Novrizal Rustam Rustam Ruzita Sumiati Said Fahmi Samah, Eri Sharma, Jai Kumar Sibuea, Nurhalimah Simanjuntak, Destrina Grace Sirmas Munte Sitepu, Elizabeth Situmeang, Mahyudin Situmorang, Mananda Sriyanto, Darmawan Subaktiar, Subaktiar Sudane, I Wayan Suhartono SULISTIA, SULISTIA Suryanto, Dasep Suryanto Susanto, Rinaldo suswati suswati Syafitri, Widya Syam , Nova Astuty Syukran, Rahmat Tomsio, Ismail Tri Artono Trisnowati Josiah Tulim, Anto Veny Selviyanty Wahmin Rais Windarsari, Wiwin Riski Yanthi, Erlina Yuli Yudi Sukmono, Yudi Yuli Yetri Yulia Yunita Yusuf Yunita Yusuf, Yulia Yunus, Asmar Yusneti, Yusneti Yusri Mura Yusuf, Yulia Yunita Zaimar, Fina Ruzika Zulfani Sesmiarni