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All Journal International Journal of Electrical and Computer Engineering International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Informatika Komputer Jurnal Psikologi Jurnal Ilmiah Teknologi dan Rekayasa Prosiding KOMMIT Prosiding PESAT Majalah Ilmiah Matematika Komputer Majalah Ilmiah Ekonomi Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer JUITA : Jurnal Informatika Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Computatio : Journal of Computer Science and Information Systems Jurnal Ilmiah FIFO Informatika Pertanian JURNAL MANAJEMEN INFORMATIKA (JUMIKA) Prosiding Seminar Nasional Darmajaya Petir JUTEKIN (Jurnal Manajemen Informatika) JURTEKSI Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Journal of Information System, Applied, Management, Accounting and Research Jurnal Teknik Informatika (JUTIF) Jurnal Nasional Teknologi Komputer Jurnal Sistem Informasi International Journal Multidisciplinary Science
Dewi Agushinta R.
Gunadarma University
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Journal : Jurnal Teknik Informatika (JUTIF)

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Comparative Analysis Of Machine Learning Algorithms For Dengue Fever Prediction Based On Clinical And Laboratory Features Sriyanto, Sriyanto; Aziz, RZ Abdul; Rahayu, Dewi Agushinta; Zuriati, Zuriati; Abdollah, Mohd Faizal; Irianto, Irianto
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 6 (2025): JUTIF Volume 6, Number 6, Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.6.5309

Abstract

Dengue fever (DF) remains a global health problem requiring accurate early detection to prevent severe complications. This study applies machine learning (ML) algorithms to clinical and laboratory data for improving diagnostic accuracy. Six classifiers were compared: Decision Tree (DT), K-Nearest Neighbor (KNN), Logistic Regression (LR), Naïve Bayes (NB), Neural Network (NN), and Support Vector Machine (SVM). The dataset consists of 1,003 patient records with nine feature columns, of which 989 were used after preprocessing. Class distribution was imbalanced, with 67.6% positive and 32.4% negative cases. Model performance was evaluated using 10-fold cross-validation based on accuracy, precision, recall, F1-score, confusion matrix, and ROC curve analysis. The results indicate that DT achieved the highest performance with 99.4% accuracy, 99.4% precision, 99.7% recall, and 99.6% F1-score, slightly outperforming NN. KNN, LR, and SVM produced comparable results, while NB showed substantially lower accuracy (44.3%) and limited discriminatory power. ROC analysis confirmed these findings, with DT, NN, SVM, and LR achieving AUC values between 0.992 and 0.999, whereas NB performed poorly. These findings highlight the strong potential of ML algorithms, particularly DT, to support medical decision systems, strengthen informatics-based decision support applications, and enhance the accuracy and speed of dengue diagnosis in clinical practice.
Co-Authors -, Hustinawaty Abdollah, Mohd Faizal Achmad Benny Mutiara Adam Huda Nugraha Aditia Arga Pratama Ahmad Hidayat Akbar, Rizky Alif Ahmad Syamsudduha Andi Shahreza Harahap Anggari, Elevanita Anindito Yoga Pratama Anindito Yoga Pratama Anindito Yoga Pratama Anindito Yoga Pratama Antonius Angga Kurniawan Ardhani Reswari Yudistari Armita Widyasuri Aziz, RZ. Abdul Besty Ghina Cyntya Widyarsih Delvita Dita Putri Anggrayni Diana Tri Susetianigtias Dini Sundani Dyah Pratiwi Emirul Bahar Ety Sutanty Fajar Nugraha Ferina Ferdianti Fitrianingsih Fitrianingsih Gagah Lanang Ramadhan Grace Desi Geoloni Hafiz Ma'ruf Hanifah Aprilia Nur’aini Haniyah Haniyah Hardianti, Ayu Harya Iswara A.W. Henny Medyawati Henny Medyawati Henri Muel Herry Sussanto Hustinawaty Hustinawaty, Hustinawaty Ihsan Jatnika Ika Setiowati Suprihatin Indira Mahayani Irianto Irianto Irwan Bastian Jhordy Wong Johanna Sindya Widjaya Jonathan Hindharta Khoirul Islam Lia Ambarwati Lintang Yuniar Banowosari Lintang Yuniar Banowosari M. Abdul Mukhyi Mariono Reksoprodjo Martina Octavia Mega Maralisa Putri Metty Mustikasari Muhammad Edy Supriyadi Murniyati Murniyati Neneng Winarsih Ngakasah, Siti Aliyah Nursanta, Edy Octavia, Martina Paranita Asnur Paujiah, Syifah Putri, Rizka Yulianti Regy Dwi Septian Remi Senjaya Remi Senjaya riamande jelita tambunan Rifki Kosasih Rindani, Fiena Rizka Yulianti Putri Rodiah Rodiah Rr. Dharma Tintri Edi Raras Rustam M. Ali Sandi Agung Sarifuddin Madenda Satria, Agung Sigit Widiarto Soeltan Zaki Sova, Erma Sri Rahayu Puspita Sari Sriyanto, Sriyanto sugrio dwi darmawan Suryadi H. S. Suryadi Harmanto Trihapningsari, Denisha Vega Valentine Yahya Novi Andi Cuhwanto Yoga Yuniadi Yogi Oktopianto Yurista Vipriyanti Yusuf Triyuswoyo Yuti Dewita Arimbi Zuriati, Zuriati