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All Journal Jurnal Pendidikan Indonesia Ta'dibi: Jurnal Manajemen Pendidikan Islam EMITTER International Journal of Engineering Technology ELSE (Elementary School Education Journal) : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar al-Afkar, Journal For Islamic Studies Communications in Science and Technology Greget Symmetry: Pasundan Journal of Research in Mathematics Learning and Education Bitnet: Jurnal Pendidikan Teknologi Informasi Hisbah: Jurnal Bimbingan Konseling dan Dakwah Islam BISEI: Jurnal Bisnis dan Ekonomi Islam International Journal of Business and Social Science Research Jurnal teknologi Kesehatan Borneo International Journal of Progressive Mathematics Education AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) J-AKSI : JURNAL AKUNTANSI DAN SISTEM INFORMASI Economic Reviews Journal Ius Positum: Journal of Journal Of Law Theory And Law Enforcement Jurnal Manajemen USNI Journal Community Service Consortium AMMA : Jurnal Pengabdian Masyarakat JRIIN :Jurnal Riset Informatika dan Inovasi Japanology Jurnal Pengembangan Potensi Laboratorium Journal of Community Service (Abdisci) Journal of Studies in Academic, Humanities, Research, and Innovation HUNILA : Jurnal Ilmu Hukum dan Integrasi Peradilan
Slamet
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Journal : EMITTER International Journal of Engineering Technology

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Early Detection of Ball Bearing Faults Using the Decision Tree Method Istanto, Iwan; Sulaiman , Robi; Rio Natanael Wijaya; Budi Suhendro; Rokhmat Arifianto; Slamet
EMITTER International Journal of Engineering Technology Vol 12 No 2 (2024)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v12i2.920

Abstract

Bearings are one of the important components in the machine that functions as a holder and positions the shaft alignment radially when rotating. Statistics show that about 50% of failures in electric motors are related to bearings. Therefore, monitoring bearing performance and efficiency before damage occurs is necessary to avoid more serious damage and save repair costs. This research aims to build a classification model that can identify bearings in normal condition and 6 types of damage (inner crack, outer crack, ball crack, and a combination of both) using the HUST dataset. The model building process begins with collecting datasets, processing and extracting dataset features, building classification models and evaluating the models that have been made. A decision tree is a type of supervised machine learning used to categorize or make predictions based on how a previous set of questions were answered. The model is a form of supervised learning, meaning that the model is trained and tested on a set of data that contains the desired categorization. The results of the decision tree model that has been built are able to identify bearing damage with an accuracy of 94.47%.
Co-Authors Al-Farisi, Nizar Ahmad Angelina Anggraini, Maya Lestari Ari Nuswantoro As’ady, Mustofa Budi Suhendro Dani Ramdani, Dani Denni Lesmana Dinasti Aprillia Elfrida Ratnawati Eniya Listiani Dewi Erlin Melani Fadilah Putri, Najah Fitrah Yuliawati Hamdani Hendriana, Benny Hery Susanto Indrayati Indrayati Ismil Mubarok Isnan Murdiansyah Istanto, Iwan Juhan Syah, Fahmi Kamarza Mulia, Kamarza Lesmana, Denni Lucy Nancy Manshur, Fauzan Al Mariana Matsuri Maulidiyah Salim miftah nugroho Miswan Ramdani Mochammad Arifin Mohammad Jusak Mohammad Nurul Huda muhammad irfan Muhammad Irfan Muhammad Noor Fitriyanto Muis, Ahmad Munajat Munajat, Munajat Mutiarani Pionera Nadifa Ariya Maulinda Ningrum, Eva Veronika Cahya Nur Husna Afandi, Alia Nurul amin, Nurul Oktarina, Yetti Oktaviani Adhi Suciptaningsih Pahlewi, Reza Mina Pajri, Ari Purwati Latifah, Linatri Putra, Galih Rangga Ramadhan, Genta RATNAWATI Ria Ester Rio Natanael Wijaya Riska Pristiani Rita Arbianti Rokhmat Arifianto Rustamadji, Ryan Rafi Saddam Husein, Saddam Samsul Rosadi Santoso, Calvin Sartika, Farahiyah Sartika Setiani Sianipar, Ronald Siti Aisyah Soekorini, Noenik Subekti Sulaiman , Robi Suryapranata, Bryan Tamo Bapa, Agustinus Tania Surya Utami Teguh Santoso Teguh Sutanto Tiur Elysabeth Tutut Wurijanto Uus Ruswandi Widana, Alit Wildan Mahmudin Yanto Maulana Restu Yati, Mirta Dwi Yuswan Muharam