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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) ComEngApp : Computer Engineering and Applications Journal Jurnal Rekayasa Mesin Jurnal Energi Dan Manufaktur AUSTENIT Jurnal Mechanical Proceeding of the Electrical Engineering Computer Science and Informatics Science and Technology Indonesia Prosiding Seminar Nasional Teknoka Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Engineering and Science (IJES) Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Bulletin of Applied Mathematics and Mathematics Education Jurnal Pelita Sriwijaya Prosiding Seminar Nasional Unimus
Irsyadi Yani
Department Of Mechanical Engineering, Faculty Of Engineering, Sriwijaya University, Palembang, 30139, Indonesia
Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Other

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Journal : Bulletin of Applied Mathematics and Mathematics Education

 1 
Comparing the performance of DTID3 and DTID3-Smote methods in predicting the rain events with unbalanced classes Zayanti, Des A.; Eliyati, Ning; Resti, Yulia; Hoiri, Sajiril; Kresnawati, Endang S.; Dewi, Novi R.; Amran, Ali; Yani, Irsyadi
Bulletin of Applied Mathematics and Mathematics Education Vol. 5 No. 1 (2025)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v5i1.13122

Abstract

Prediction of rainfall events in a region is important for many aspects of life. However, the majority of datasets that predict rainfall events have an unbalanced distribution of observations in their classes, including the Prabumulih city dataset, South Sumatra. DTID3 provides very satisfactory performance in many cases of prediction, while the Smote technique is useful for balancing the distribution of data classes.  This study aims to compare the performance of the DTID3 and DTID3-Smote methods in predicting rainfall events in Prabumulih City.  The main contribution of this study compared to previous studies is that the DTID3 and Smote methods are used together to predict rainfall events, especially in Prabumulih City. Using training data from 2017-2022 and test data from 2023, the results show that the DTID3-Smote method has a better performance measure than the decision tree method in predicting rainfall events in Prabumulih City. In the decision tree method, the accuracy, precision, recall, specificity, and f1-score metrics are 73.56%, 81.91%, 50.94%, 91.22%, and 62.81%, respectively. In the decision tree-SMOTE method, the values ​​are respectively 74.66%, 82.61%, 53.44%, 91.22%, and 64.9%.
Co-Authors Ade Silvia Ade Silvia Ade Silvia Handayani Agung Mataram Ahmad Irham Jambak Akbar Teguh Prakoso Ali Amran Ali Syahbana Alwine Zayanti, Des Amir Arifin Amir Arifin Amrifan Saladin Mohruni Aneka Firdaus Ansyori Ansyori Ansyori Ansyori Ansyori Yani Anthony Costa Astuti - Astuti Astuti Bambang Suprihatin Barlin Barlin Barlin Barlin Barlin Oemar Chandra Irsan Chandra Irsan Chandra Irsan Dendy Adanta Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Des Alwine Zayantii Dewi Puspita Sari Dewi Puspitasari Dewi Puspitasari Dewi, Novi R. Dewi, Tresna Donny Sahala Tua Sitorus Eka Utami, Nurhabibah Paramitha Ekawati Prihatini Ellyanie Ellyanie Eric Rahman Fadhian Fadhillah Siregar Falah Yuridho Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan gustini gustini Hasan Basri Hasan Basri helena astari Hoiri, Sajiril Husni, Nyayu Latifah Husni, Nyayu Latifah Indah Meiliana Sari Irmawan Irmawan Ismail Thamrin Ivfransyah Jeremy Firdaus Latif Jhosua Arie S Jhosua Arie Swandi Kaprawi Kaprawi Kresnawati, Endang S. Lugantha Perkasa M. A. Ade Saputra M.A. Ade Saputra MARWANI Marwani Marwani, Marwani Mega Tiara Putri MS, Firdaus Muflika Amini Muhammad Dahlan Muhammad Yanis Ning Eliyati Nova Yuliasari Novi Rustiana Dewi Nukman Nukman Nukman Nurhabibah Paramita Eka Utami Nyayu Latifah Husni Nyayu Latifah Husni, Nyayu Latifah Rahmayani, Mau’izatil Resnawati Rossi Passarella Saputra, M. A. Ade Saputra, M.A. Ade Setyo Cahyono, Endro Siti Nurmaini Sri Kresnawati, Endang Sulong, Abu Bakar Teguh Prakoso, Akbar Tresna Dewi Yuli Andriani Yulia Resti Zayanti, Des A. Zulkarnain Ali Leman Zulkarnain Zulkarnain Zulkarnain Zulkarnain