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All Journal International Journal of Electrical and Computer Engineering SEMIRATA 2015 KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Science and Technology Indonesia Jurnal Komputasi Jurnal Teknoinfo Klinikal Sains (Jurnal Analis Kesehatan) Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jurnal Kesehatan Saelmakers PERDANA (JKSP) Jurnal Teknologi Komputer dan Sistem Informasi Sains, Aplikasi, Komputasi dan Teknologi Informasi Journal Social Science And Technology For Community Service Journal of Community Development Buguh: Jurnal Pengabdian Kepada Masyarakat TRIBUTE: JOURNAL OF COMMUNITY SERVICES International Journal of Electronics and Communications Systems Jurnal Pepadun Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Journal Health Applied Science And Technology (JHAST) Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Jurnal Ilmu Keperawatan dan Kebidanan IJP (Indonesia Jurnal Perawat) Jurnal Komputasi
Aristoteles, Aristoteles
Ilmu Komputer FMIPA Unila
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Journal : Science and Technology Indonesia

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Decision Tree Algorithms in Water Quality Classification: A Comparative Study of Random Forest, XGBoost, and C5.0 Shofiana, Dewi Asiah; Caniadi, Melan; Sholehurrohman, Ridho; Aristoteles
Science and Technology Indonesia Vol. 10 No. 4 (2025): October
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.4.999-1011

Abstract

Safe drinking water is more than a convenience; public health officials often call it a cornerstone of survival. United Nations International Children’s Emergency Fund (UNICEF) reported that, shockingly, roughly two billion people still drink water that is neither clean nor tested. Pathogenic bacteria from human feces and livestock waste taint roughly 70% of available sources, creating a silent epidemic. Scientists express water quality into five levels: poor, marginal, fair, good, and excellent – named as the Water Quality Index (WQI) designed by the Canadian Council of Ministers of the Environment (CCME). This research measured the performance of three decision-tree classifiers, including Random Forest, XGBoost, and C5.0 to predict water quality. The preprocessing pipeline was thorough, involving label encoding, use of synthetic minor over-sampling technique (SMOTE) for balancing imbalanced classes, and an exploratory phase to examine outliers and irregularities within the dataset. According to the findings, Random Forest finished at an impressive test result with 98% of accuracy. XGBoost and C5.0 follows close behind at about 96%, but the latter turned out to be the fastest, edging out both XGBoost and Random Forest, making C5.0 a preferable when a time-sensitive or emergency decision is needed. In short, this research highlights the importance of modern preprocessing tools combined with machine learning algorithms in monitoring water quality.
Co-Authors A. H. Bernando A. Nizam Syahiib Ade Apriantari Aditya Prayoga Admi Syarif Aflaha Asri Agatha Beny Himawan Ahmad Amirudin Ahmad Julio Rizky Ahyarudin Aini Robby Rodliyah Airlangga Sani Cahya Margaliu Aisah Oktavia Alya Samira Rahmaputri Amelda Amelda Amelya, Citra Andrian, Rico Angga Ramadhan Prasetyo Anggara, Bambang Ari Anggi Puspitasari Anindya Rahmadini Anisa Raden Anjelina, Angel Annisa Putri Nabila Aqshal Dwi Setiawan Arbi Hidayatullah Ardhika Praseda Ageng Putra ARDIANSYAH ARDIANSYAH Ardye Amando Pratama Ariq Rafii Utama Aristoteles Aryanti Dwiastuti Aulia Putri Ariqa Awfa Rizqon Akhyar Ayuning Rizqi Rahmayanti Bastian Bastian Bastian Bastian Bella Pebyana Cahlia Kurnia Candra Wijaya Caniadi, Melan Dani Cristian Danzen Hangga Permana Dedy Miswar Desrizal Dwi Ayu Deswita Sari Didik Kurniawan Dinda Fitrialoka Dwi Sakethi Dwi Sakethi Dwi Sakethi Dwi Sakethi, Dwi Dyah Mila Prambudiningtyas Efendi, Nur Eka Febriansyah, Febi Eka Kasymir Erika Fadia Salsabila Evania Intiha Falah, Naufal Anbial Febi Eka Febriansyah febi eka febriansyah, febi eka Firman Syah Galih Imam Widangga Gina Septia Rizki Giovanni Albertine Hutauruk Heningtyas, Yunda Heri Satria Heri Satria Heriyanto, Husnah, Arifa Al Ika Arthalia Wulandari Ilman, Igit Sabda Indah Sari Indah Sari Indra Gumay Febryano Indri Eka Yasami Ira Hariati Br Sitepu Irawati, Anie Rose Jani Master Jihan Aferiansyah Junaidi Junaidi Kalwa, Ayu Niara Kurnia Agung Laksono Kurnia Muludi Kurnia Muludi Kusuma, Abie Perdana Lidwina Amelia Lis Nur Ajijah Lisa Suarni Lolyta Mutiara Putri Lukito, Wisnu Lumbanraja, Favorisen R Martinus Martinus Maulida Melvina Putri Maya Fadlilah Melda Suryani Mohamad Ilham Nurfaizi Monique Permata Sari Santoso Mudinillah, Adam Muhamad Zaki Renaldi Muhammad Chaidar Ali Muhammad Fahmi Albaihaqi Muhammad Fakhri Robbani Muhammad Fathan Kurniawan Muhammad Zidan Pasya Mulyono Mulyono Mulyono Mutiara Putri Adisa Nadia Ayu Wulandari Nadila Rizqi Muttaqina Nitami Sari Noval Aditya Marlon Noviyanti Noviyanti Nur Efendi Nurhidayanti Nurhidayanti Parabi, M. Iqbal Pondo Purniawan Pratama, Rinaldo Adi Pratiwi, Cahya Yulia Putri Ayu Penita Putri, Anggi Restu Radix Suharjo Rahman Taufik Rahmat Safe'i Rakhmat Herlambang Rara Diantari Raras Silviana Rian Kurniawan Ridho Sholehurrohman Rifki Wardana Rigasmi Ihklayani Rika Ningtias Azhari Riska Aprilia Risna Damayanti Rizki Agung Permana Rizky Pratama Rosa, Ervina Sabila Rusyda Salma Dara Cantika Sapto Kuncoro Sasmita Ningrum Selvira Setiadi, Rifan Sholehurrohman, Ridho Sintiya Paramitha Suarni, Lisa Suripto Dwi Yuwono Swarna Darma Syah, Firman Syangap Diningrat Sitompul Syifa Hera Assegaf Tarkono Tarkono Taufik, Rahman Timotius Pascha Tiyara Saghira Tri Rizky Putra Tristiyanto Tristiyanto Unang Mulkhan Utami, Detri Dipa Vio Deka Ananda Wardiyanto Wardiyanto Wardiyanto Wardiyanto Wartariyus, Wartariyus Widiarti Widiarti Widya Puspitarani Desiyanti Wirawan, Nasywa Nathania Wisnu Lukito Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yarmaidi Yoga Gustama Yohana Tri Utami YOHANA TRI UTAMI, YOHANA TRI Zahra, Rizka Aulia Zuhri Nopriyanto