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Islahuddin, Islahuddin
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Journal : Jurnal Polimesin

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Optimizing prediction of stainless steel mechanical properties with random forest: a comparison of feature selection methods Maimuzar, Maimuzar; Hendra, Hendra; Khan, Syarif; Leni, Desmarita; Islahuddin, Islahuddin
Jurnal Polimesin Vol 22, No 5 (2024): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i5.5381

Abstract

In machine learning, predicting the mechanical properties of stainless steel, such as Yield Strength (YS), Ultimate Tensile Strength (UTS), and Elongation (EL), requires many input variables, such as chemical composition, type of heat treatment, heating duration, and cooling method. However, the complexity and number of these variables can increase processing time and reduce model accuracy. This study aims to explore the impact of selecting the most influential input variables to improve prediction accuracy. We compared two feature selection techniques: Recursive Feature Elimination (RFE), which systematically removes less important features, and Information Gain (IG), which measures the contribution of each variable to the target prediction. Both techniques were implemented using the random forest algorithm, chosen for its robustness in handling large datasets and its ability to capture complex interactions between variables. Parameter optimization was performed using a grid search. The analysis showed that the RFE-based model outperformed both the IG-based model and the model without feature selection. In predicting YS, RFE identified 13 out of 21 influential variables, achieving a Mean Absolute Error (MAE) of 9.91, Root Mean Square Error (RMSE) of 14.20, and R-squared value of 0.89. For UTS, RFE identified 8 out of 21 variables, with an MAE of 12.89, RMSE of 16.97, and R-squared of 0.97. In predicting EL, RFE identified 14 out of 21 variables, with an MAE of 3.82, RMSE of 6.10, and an R-squared value of 0.85. The high R-squared values (0.85) across all properties indicate the model’s strong predictive capabilities, making it suitable for practical applications in predicting the mechanical properties of stainless steel.
Co-Authors Abdulrahman Jehtae Abidin, Saenal Adam, Yasmin Maharani Adri Efferi Aflah, Kuntarno Noor Agus Iswanto Ainy, Noer Sarifah Akram, Miftachul Akramadina, Akramadina Amin Yusuf Andayani, Noviar Arif Rahman Aritonang, Firdaus Aryanie, Irne Asep Supena. Beniati Lestyarini Budi Setiawan Budi Waluyo BZ, Fazli Syam Chema, Adareena Choiriyah, Arifatul Dahri, Harapandi Daulay, Maswan Dedi Pramono Djoko Sulaksono Dwiprabowo, Risky Eka Nurhidayat Eppang, Buntu Marannu Fahira, Afra Faizi, Ahmad Farid Said, Farid Faujiah, Evi Febriyanto, Budi Fibriani, Cut Dara Fujastawan, I Ngurah Gede Verar Gumgum Gumelar Fajar Rakhman Gustini, Sri Ha, Halimoh Hadi, Nestiyanto Hadiyan Wijaksana, Haris Hamzah, Reodhy Hasbullah Hasbullah Hendra Hendra Hidayat, Kun Ibnu Siswanto Ichsan, Yazida Ilma Fahmi Aziza, Ilma Fahmi jelita, jelita Khan, Syarif Ku-Ares Tawandorloh Kundharu Saddhono Lestari, Winda Dwi Lilik Wahyuni Lixian , Xiao Lukman Asha LUTHFIRALDA SJAHFIRDI Machmuri, Andri Maimuzar Maimuzar Marziah, Fikar Masatip, Anwari Maulana Rohimat, Asep Meiki Eru Putra Menjamin, Sumaiyah Moch Lukluil Maknun, Moch Lukluil Moch. Lukluil Maknun Mohamad Syarif Sumantri Mohammad, Nhelbourne Mubarock, Wildan Fauzi Muhamad Parhan Muhammad Arfin Muhammad Salim Muhammad Husaini Muhammad Idris Muhammad Irfan Luthfi Nasution, Ali Napiah Novitasari, Meisya Nugraheny, Devita Cahyani Nur Qorimah, Esti Nurul Hasfi Oki Dermawan Pramadhanti, Dhelinta Fitri Pudjiastuti, Sri Rahayu Qadriani, Nur Lailatul Ramadhani, Fauziah Aulia Ratna Yunita Setiyani, Ratna Yunita Roch Aris Hidayat, Roch Aris Safrizal Safrizal Saharudin Saharudin Saimima, Johan Robert Sanny Ardhy Saputra, Dudu Suhandi Sari, Dewi Arnita Sayid Habiburrahman, Sayid Sinaga, Rouli Retta Trifena Sohnui, Suhailee Som, Ahmad Puad Mat SRI WARDANI Sulistyawati, Anggraeni Susanti Susanti Syahidin Syahidin, Syahidin Syahriyah, Ummi Ulfatus Syarif, Nur Atika Syukriy Abdullah Taufiq Mathar Tawandorloh, Ku-Ares Touku Umar Tri Suminar Vioreza, Niken Waeno, Mahamadaree Wulandari Pratiwi, Raden Yonanda, Devi Afriyuni Yudi Siswanto Yuliati, Yuyu Yuniyanti, Indah Zahro, Amalia Zulfikar Zulfikar Zulkarnaini Zulkarnaini Zuraida Zuraida