Implementation Of Decision Tree Algorithms For Classification Of Respiratory Infectious Diseases

Authors

  • Fauzi Muhammadiyah University of East Kalimantan
  • Taghfirul Azhima Yoga Siswa Muhammadiyah University of East Kalimantan
  • Fendy Yulianto Muhammadiyah University of East Kalimantan

DOI:

https://doi.org/10.47709/cnahpc.v7i4.6956

Keywords:

Decision Tree, ARI, Classification, Machine Learning, Data Mining.

Abstract

Acute Respiratory Infection (ARI) is a common respiratory illness that frequently affects children, primarily caused by viruses such as rhinovirus or adenovirus. In Indonesia, a total of 200,000 ARI cases were recorded during the 2021–2023 period. This study aims to implement the Decision Tree algorithm to classify ARI cases. The dataset consists of 1,501 patient records obtained from UPT Puskesmas Bontang Barat for the 2024–2025 period. The research process includes the pre-processing stage, data splitting into training and testing sets using the 10-Fold Cross Validation technique. Subsequently, model evaluation is conducted using the Confusion Matrix to calculate the Accuracy, Precision, Recall, and F1-Score metrics. The results show that the Decision Tree algorithm is capable of performing classification with good performance, achieving an average accuracy of 81.75%, precision of 79.58%, recall of 81.75%, and an F1-score of 80.45%.

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References

Ajijah, N., & Kurniawan, A. (2023). Klasifikasi Teks Mining Terhadap Analisa Isu Kegiatan Tenaga Lapangan Menggunakan Algoritma K-Nearest Neighbor (KNN). J-SAKTI (Jurnal Sains Komputer & Informatika), 7(1), 254–262.

Amaliah, S., Nusrang, M., & Aswi, A. (2022). Penerapan Metode Random Forest Untuk Klasifikasi Varian Minuman Kopi di Kedai Kopi Konijiwa Bantaeng. VARIANSI: Journal of Statistics and Its application on Teaching and Research, 4(3), 121-127.

Biyantoro, A. S., & Prasetiyo, B. (2024). Application of Decision Tree for Health Status Classification , Compared to KNN and Naive Bayes Penerapan Decision Tree untuk Klasifikasi Status Kesehatan dengan perbandingan KNN dan Naive Bayes. Indonesian Journal of Informatic Research and Software Engineering, 4(1), 47–55. https://journal.irpi.or.id/index.php/ijirse/article/view/1342

Chaizuran, M., & Hijriana, I. (2023). Penyuluhan Pengobatan Tradisional ISPA Pada Balita di Gampong Bireuen Meunasah Reuleut Provinsi Aceh. Jurnal Mandala Pengabdian Masyarakat, 4(1), 1–6. https://doi.org/10.35311/jmpm.v4i1.105

Defrianti, F., Hanifa, F., & Jayatmi, I. (2024). Hubungan Sikap Ibu, Dukungan Suami, dan Status Imunisasi Terhadap Kejadian Infeksi Saluran Pernapasan Akut (ISPA) Pada Balita. Jurnal Penelitian Perawat Profesional, 6(4), 1799–1808. http://jurnal.globalhealthsciencegroup.com/index.php/JPPP

Devi, E. S., Wahono, B. B., & Wibowo, G. N. (2025). KOMPARASI ALGORITMA KLASIFIKASI NAÏVE BAYES , DECISISON TREE ( C4 . 5 ) DAN SUPPORT VECTOR MACHINES ( SVM ) DALAM DIAGNOSA PENYAKIT DIABETES. Jurnal Teknik Informatika., 4(1), 222–228. https://doi.org/https://doi.org/10.02220/jtinfo.v4i1.1268

Dewi, S. P., Nurwati, N., & Rahayu, E. (2022). Penerapan Data Mining Untuk Prediksi Penjualan Produk Terlaris Menggunakan Metode K-Nearest Neighbor. Building of Informatics, Technology and Science (BITS), 3(4), 639–648. https://doi.org/10.47065/bits.v3i4.1408

Hidayat, D. (2023). Kemenkes Catat Pengidap ISPA Meningkat Akibat Polusi Udara. Rri.Co.Id. https://www.rri.co.id/nasional/339812/kemenkes-catat-pengidap-ispa-meningkat-akibat-polusi-udara

Imani, R. K., Wijoyo, S. H., & Amalia, F. (2024). Penerapan Algoritma K-Nearest Neighbor untuk Klasifikasi Kemampuan Lulusan Siswa Dalam Bersaing untuk Mendapatkan Pekerjaan (Studi Kasus: SMK “SORE” Tulungagung). Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer, 8(10).

Mukaromah, H. (2025). Perbandingan Kinerja Algoritma Naïve Bayes Dan Decision Tree Untuk Prediksi Penyakit Batu Ginjal. Jurnal Rekayasa Perangkat Lunak, 4(1).

Munir, A. S., Saputra, A. B., Aziz, A., & Barata, M. A. (2024). Perbandingan Akurasi Algoritma Naive Bayes dan Algoritma Decision Tree dalam Pengklasifikasian Penyakit Kanker Payudara. Jurnal Ilmiah Informatika Global, 15(1), 23–29. https://doi.org/10.36982/jiig.v15i1.3578

Nasien, D., Darwin, R., Cia, A., Winata, A. L., Go, J., Richard, M. C., Wijaya, C., Lo, K. C., Studi, P., Informatika, T., Komputer, F. I., Bisnis, I., & Indonesia, P. (2024). Perbandingan Implementasi Machine Learning Menggunakan Metode KNN , Naive Bayes , Dan Logistik Regression Untuk Mengklasifikasi Penyakit Diabetes. JEKIN - Jurnal Teknik Informatika, 4(1). https://doi.org/10.58794/jekin.v4i1.640

Sari, L., Siswa, T. A. Y., & Pranoto, W. J. (2024). Model rfgs-cs untuk mengatasi high dimensional data stunting kota samarinda skripsi. JIPI Jurnal Ilmiah Penelitian Dan Pembelajaran, 2, 110–113. https://doi.org/https://doi.org/10.29100/jipi.v10i1.5997

Sari, N. A. A., Jannah, U. M., & Nurmalitasari. (2024). KOMPARASI ALGORITMA C4 . 5 DAN K- KLASIFIKASI PENYAKIT ANEMIA. JIPI Jurnal Ilmiah Penelitian Dan Pembelajaran, 9(2), 110–113. https://doi.org/https://doi.org/10.51876/simtek.v9i2.399

Sodikin, M. I. (2023). Penerapan dan Manfaat Machine Learning di Rumah Sakit. Multiverse: Open Multidisciplinary Journal, 2(2), 262–265. https://doi.org/10.57251/multiverse.v2i2.1207

Sulistiyo, B., Surarso, B., & Syafei, W. A. (2020). Sistem Pakar Identifikasi dan Alternatif Solusi terhadap Permasalahan yang Dihadapi oleh Peserta Didik Sekolah Menengah Menggunakan Rule-Based Machine Learning. Suparyanto Dan Rosad (2015, 5(3), 248–253. https://doi.org/10.14710/jtsiskom.2022.xxxxx

Susanto, A., Riady, S. R., Ranti, S. D., & Mandala, R. (2020). Penerapan Perhitungan Metode Decision Tree Menggunakan Algoritma Iterative Dichotomiser 3 (ID3) Berbasis Website Application of Decision Tree Method Calculation Using Website Based Iterative Dichotomiser 3 (ID3) Algorithm. Indonesian Journal of Science, 1(2), 59–68. http://journal.pusatsains.com/index.php/jsi

William, W., Wijaya, A. T., Pasaribu, D. M., & Hudyono, J. (2022). Gambaran Penggunaan Antibiotik pada Anak Dibawah Usia Lima Tahun (Balita) dengan Infeksi Saluran Pernapasan Akut (ISPA) di Puskesmas Kelurahan Tanjung Duren Selatan Tahun 2020-2021. Jurnal MedScientiae, 28, 1–5. https://doi.org/10.36452/jmedscientiae.v1i2.2510

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Published

2025-10-27

How to Cite

Fauzi, Taghfirul Azhima Yoga Siswa, & Fendy Yulianto. (2025). Implementation Of Decision Tree Algorithms For Classification Of Respiratory Infectious Diseases. Journal of Computer Networks, Architecture and High Performance Computing, 7(4). https://doi.org/10.47709/cnahpc.v7i4.6956

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