Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil
Data mining is useful in finding interesting patterns of hidden information in a database with specified algorithms. Management of uncertainty in the automotive industry supply chain, with case data at PT QQQ that produce car batteries, classification techniques are used to manage uncertainty in the...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | UMS Journal (OJS) |
| Language: | eng |
| Published: |
Department of Industrial Engineering Universitas Muhammadiyah Surakarta
2019
|
| Subjects: | |
| Online Access: | https://journals.ums.ac.id/index.php/jiti/article/view/7232 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1805342430343462912 |
|---|---|
| author | Marie, Iveline Anne Hakim, Lukmanul Sugiarto, Dedy Septiani, Winnie |
| author_facet | Marie, Iveline Anne Hakim, Lukmanul Sugiarto, Dedy Septiani, Winnie |
| author_sort | Marie, Iveline Anne |
| collection | OJS |
| description | Data mining is useful in finding interesting patterns of hidden information in a database with specified algorithms. Management of uncertainty in the automotive industry supply chain, with case data at PT QQQ that produce car batteries, classification techniques are used to manage uncertainty in the case of engine breakdown. Based on the utilization of classification techniques, performance comparison analysis was carried out from several methods, namely Decision Tree, Bagging, Boosting and Random Forest. The research data is divided into testing data (75%) and training data (25%). This study uses Software R for analysis needs. The need for testing the goodness of the model uses package (caret) help to see the value of accuracy, sensitivity and specificity. The analysis shows that the Random Forest and Bagging method is superior compared to the Decision Tree and Boosting methods based on accuracy criteria, while the sensitivity criteria, Bagging and Boosting methods are superior to Random Forest and DecisionTree. The lowest sensitivity value is owned by the Decision Tree Method, which indicates that the ability of the method is weak in predicting very few classes. |
| format | UMS Journal (OJS) |
| id | oai:ojs2.journals.ums.ac.id:article-7232 |
| institution | Universitas Muhammadiyah Surakarta |
| language | eng |
| publishDate | 2019 |
| publisher | Department of Industrial Engineering Universitas Muhammadiyah Surakarta |
| record_format | ojs |
| spelling | oai:ojs2.journals.ums.ac.id:article-7232 Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil Marie, Iveline Anne Hakim, Lukmanul Sugiarto, Dedy Septiani, Winnie classification technique; accuracy; sensitivity; specificity Data mining is useful in finding interesting patterns of hidden information in a database with specified algorithms. Management of uncertainty in the automotive industry supply chain, with case data at PT QQQ that produce car batteries, classification techniques are used to manage uncertainty in the case of engine breakdown. Based on the utilization of classification techniques, performance comparison analysis was carried out from several methods, namely Decision Tree, Bagging, Boosting and Random Forest. The research data is divided into testing data (75%) and training data (25%). This study uses Software R for analysis needs. The need for testing the goodness of the model uses package (caret) help to see the value of accuracy, sensitivity and specificity. The analysis shows that the Random Forest and Bagging method is superior compared to the Decision Tree and Boosting methods based on accuracy criteria, while the sensitivity criteria, Bagging and Boosting methods are superior to Random Forest and DecisionTree. The lowest sensitivity value is owned by the Decision Tree Method, which indicates that the ability of the method is weak in predicting very few classes. Department of Industrial Engineering Universitas Muhammadiyah Surakarta Direktorat Riset dan Pengabdian Masyarakat Direktorat Jenderal Penguatan Riset dan Pengembangan Kementerian Riset,Teknologi, dan Pendidikan Tinggi 2019-07-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://journals.ums.ac.id/index.php/jiti/article/view/7232 10.23917/jiti.v18i1.7232 Jurnal Ilmiah Teknik Industri; Vol. 18, No. 1, Juni 2019; 33 - 41 Jurnal Ilmiah Teknik Industri; Vol. 18, No. 1, Juni 2019; 33 - 41 2460-4038 1412-6869 eng https://journals.ums.ac.id/index.php/jiti/article/view/7232/4613 Copyright (c) 2019 Jurnal Ilmiah Teknik Industri http://creativecommons.org/licenses/by-sa/4.0 |
| spellingShingle | classification technique; accuracy; sensitivity; specificity Marie, Iveline Anne Hakim, Lukmanul Sugiarto, Dedy Septiani, Winnie Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil |
| title | Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil |
| title_full | Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil |
| title_fullStr | Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil |
| title_full_unstemmed | Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil |
| title_short | Perbandingan Performansi Teknik Klasifikasi Breakdown Mesin pada Proses Produksi Pembuatan Battery Mobil |
| title_sort | perbandingan performansi teknik klasifikasi breakdown mesin pada proses produksi pembuatan battery mobil |
| topic | classification technique; accuracy; sensitivity; specificity |
| topic_facet | classification technique; accuracy; sensitivity; specificity |
| url | https://journals.ums.ac.id/index.php/jiti/article/view/7232 |
| work_keys_str_mv | AT marieivelineanne perbandinganperformansiteknikklasifikasibreakdownmesinpadaprosesproduksipembuatanbatterymobil AT hakimlukmanul perbandinganperformansiteknikklasifikasibreakdownmesinpadaprosesproduksipembuatanbatterymobil AT sugiartodedy perbandinganperformansiteknikklasifikasibreakdownmesinpadaprosesproduksipembuatanbatterymobil AT septianiwinnie perbandinganperformansiteknikklasifikasibreakdownmesinpadaprosesproduksipembuatanbatterymobil |