Analisis Pola Temporal Penyebaran Penyakit DBD dan HIV Berbasis Time Series Clustering


  • Trie Adriana Ramadhani * Mail Universitas Sriwijaya, Ogan Ilir, Indonesia
  • Fathoni Fathoni Universitas Sriwijaya, Ogan Ilir, Indonesia
  • (*) Corresponding Author
Keywords: Dynamic Time Warping; Hierarchical Clustering; Temporal Pattern; Disease Burden; East Java

Abstract

In Indonesia, including in East Java Province, infectious diseases such as Dengue Fever (DHF) and Human Immunodeficiency Virus (HIV) remain public health concerns. Incidence patterns vary by region and time of year. Variations in temporal patterns among districts and cities may lead to suboptimal identification of priority intervention areas when analyses rely solely on absolute case counts. This study aims to analyze the temporal patterns of DHF and HIV case distribution in East Java Province during the 2018–2024 period in order to cluster regions based on similarities in case dynamics over time.The analysis was conducted using a time series clustering approach to group districts and cities according to the similarity of their case development patterns. Temporal similarity was measured using the Dynamic Time Warping method and subsequently clustered using Hierarchical Clustering. Prior to analysis, the data were normalized using the Z-score method to minimize the influence of differences in case scale among regions. The results show that the temporal patterns of DHF and HIV cases were each classified into three main clusters. Cluster quality evaluation using the Silhouette index yielded a value of 0.408 for DHF, indicating a relatively clear cluster structure, whereas a value of 0.197 was obtained for HIV, suggesting a weaker cluster structure due to the complexity and heterogeneity of regional-level case data. Nevertheless, the resulting clusters still provide preliminary information on variations in temporal patterns. The identified clusters represent regions with stable, fluctuating, and increasing case patterns. Several urban areas, such as Pasuruan City, Probolinggo City, and Banyuwangi Regency, tend to belong to clusters with relatively high case levels for more than one disease, indicating challenges in disease control within these regions. These findings provide an initial overview of the temporal dynamics of DHF and HIV cases in East Java, which may serve as supporting evidence for region- and time-based disease control planning.

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References

M. F. Salim, T. B. T. Satoto, and Danardono, “Predicting Spatio-Temporal Dynamics Of Dengue Using INLA (Integrated Nested Laplace Approximation) In Yogyakarta, Indonesia,” BMC Public Health, vol. 25, no. 1, Dec. 2025, doi: 10.1186/s12889-025-22545-2.

World Health Organization, “Dengue and Severe Dengue,” WHO Fact Sheet, 21 Agt. 2025. Available : https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue.

Dinas Kesehatan Provinsi Jawa Timur, “Karakteristik Vektor Penyebab Infeksi Dengue,” Dinkes Jatim, 13 Jan. 2025. [Online]. Available: https://dinkes.jatimprov.go.id/index.php

Mamenun, Y. Koesmaryono, A. Sopaheluwakan, R. Hidayati, B. D. Dasanto, and R. Aryati, “Spatiotemporal Characterization of Dengue Incidence and Its Correlation to Climate Parameters in Indonesia,” Insects, vol. 15, no. 5, May 2024, doi: 10.3390/insects15050366.

Natasya, S. N. Maharani, and Misna, “HIV/AIDS : Update Terkini di Indonesia,” Protein : Jurnal Ilmu Keperawatan dan Kebidanan. , vol. 3, no. 1, pp. 27–36, Dec. 2024, doi: 10.61132/protein.v3i1.918.

Dinas Komunikasi dan Informatika Provinsi Jawa Timur, “Kadinkes Jatim Sebut Estimasi ODHIV di Jawa Timur ada 65.238 Orang,” Kominfo Jatim, 4 Dec. 2023. [Online]. Available: https://kominfo.jatimprov.go.id/berita/kadinkes-jatim-sebut-estimasi-odhiv-di-jawa-timur-ada-65-238-orang

F. Nurdiansyah and Y. Yunengsih, “Analisis Laporan Surveilans Demam Berdarah Dengue (DBD) Rawat Inap 2024 RSUD Kota Bandung,” PREPOTIF : Jurnal Kesehatan Masyarakat, vol. 8, no. 2, pp. 2980–2989, Jul. 2024, doi: 10.31004/prepotif.v8i2.29502.

C. Christine, G. S. G. Fitri, and M. Mustafa, “Epidemiologi Demam Berdarah Dengue di Kota Palu Tahun 2019 – 2023,” Banua: Jurnal Kesehatan Lingkungan, vol. 4, no. 2, pp. 57–65, Dec. 2024, doi: 10.33860/bjkl.v4i2.4075.

I. Sufiyana Jannatin and P. Yuniar, “Spatial Analysis of Dengue Hemorrhagic Fever Case Distribution in West Java Province 2023,” Preventif : Jurnal Kesehatan Masyarakat, vol. 16, no. 1, pp. 63–76, Apr. 2025, doi: 10.22487/preventif.v16i1.1835.

A. Habibi and T. Y. M. Wahyono, “Tren Penyakit Human Immunodeficiency Virus (HIV) di Kota Depok Tahun 2022 2024,” Jurnal Ners, vol. 10, no. 1, pp. 327–332, Nov. 2025, doi: 10.31004/jn.v10i1.51589.

R. Rosnita, N. S. Murni, and A. Wahyudi, “Kejadian Human Immunodeficiency Virus (HIV) di Kota Palembang,” Jurnal Akademika Baiturrahim Jambi, vol. 13, no. 2, pp. 385–395, Sep. 2024, doi: 10.36565/jab.v13i2.863.

H. Fransiska, “Clustering Provinces in Indonesia Based on Daily Covid-19 Cases,” Journal of Physics: Conference Series, IOP Publishing Ltd, Apr. 2021. doi: 10.1088/1742-6596/1863/1/012015.

M. Yohansa, K. A. Notodiputro, and E. Erfiani, “Dynamic Time Warping Techniques for Time Series Clustering of Covid-19 Cases in DKI Jakarta,” ComTech: Computer, Mathematics and Engineering Applications, vol. 13, no. 2, pp. 63–73, Nov. 2022, doi: 10.21512/comtech.v13i2.7413.

D. Astuti, D. Y. Hartanti, S. T. Nurhayanti, and H. Fransiska, “Clustering and Forecasting of Covid-19 Data in Indonesia,” Jurnal Matematika, Statistika dan Komputasi, vol. 18, no. 3, pp. 324–335, May 2022, doi: 10.20956/j.v18i3.18882.

A. Rachmawati, M. Hafid, and D. Irmayanti, “Analisis Clustering Penyebaran Corona Virus Disease 2019 (Covid-19) di Indonesia Tahun 2021 Menggunakan Algoritma K-Means,” Jurnal Aplikasi dan Teori Ilmu Komputer, vol. 7, no. 1, pp. 42–50, Mar. 2024, doi: 10.17509/jatikom.v7i1.49050.

Badan Pengelola Informasi dan Data Open Data Provinsi Jawa Timur. Jumlah Penyakit Menular. Open Data Jawa Timur; 28 Mei 2025.

F. Q. Yusfila, B. K. Khotimah, D. R. Anamisa, and A. T. Ni’mah, “Klasifikasi Penyakit Hepatitis C dengan Menggunakan K-Nearest Neighbor,” Sains Data Jurnal Studi Matematika dan Teknologi, vol. 3, no. 1, pp. 33–42, Jun. 2025, doi: 10.52620/sainsdata.v3i1.205.

L. Fathiyaturrahmi, Andriano, H. Almiatus Soleha, and D. Dwi Prastyo, “Perbandingan Complexity Invariant Distance (CID) Dan Dynamic Time Warping (DTW) dalam Analisis Klaster Deret Waktu Pada Nilai Tukar Petani di Indonesia” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 12, no. 4, pp. 2355–7699, Aug. 2025, doi: 10.25126/jtiik.124.

N. W. Bonitta and A. H. Primandari, “Analisis Clustering Tingkat Pengangguran Terbuka di Provinsi DIY Tahun 2010-2022 dengan Dynamic Time Warping,” Emerging Statistics and Data Science Journal, vol. 2, no. 1, pp. 135–144, Apr. 2024, doi: 10.20885/esds.vol2.iss.1.art13.

Y. Rahkmawati and S. Annisa, “Clustering Time Series Using Dynamic Time Warping Distance in Provinces in Indonesia Based on Rice Prices,” TIERS Information Technology Journal, vol. 4, no. 2, pp. 115–121, Dec. 2023, doi: 10.38043/tiers.v4i2.5081.

P. Novitasari and I. Arofah, “Penerapan Metode Clustering Average Linkage Untuk Mengelompokkan Kabupaten/Kota di Provinsi Sumatera Utara Berdasarkan Indikator Kemiskinan,” MathVision : Jurnal Matematika, vol. 5, no. 1, pp. 22–27, Mar. 2023, doi: 10.55719/mv.v5i1.604.

W. Maulidiyah, H. D. Rahmasari, K. A. Notodiputro, Y. Angraini, and L. N. A. Mualifah, “Flood Risk Clustering Based on SARIMA Rainfall Prediction and Regional Mapping in Central Java,” Journal of Mathematics, Computations and Statistics, vol. 8, no. 2, pp. 419–435, Sep. 2025, doi: 10.35580/jmathcos.v8i2.8632.

F. Fathoni, A. Khairani, R. Nur’Aini, G. D. Gultom, I. A. Alfitrah, and A. Ibrahim, “Evaluasi K-Means dan Hierarchical Clustering dalam Segmentasi Wilayah Penerimaan Bantuan Sosial Pangan di Provinsi X,” Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi, vol. 14, no. 2, p. 1246, Aug. 2025, doi: 10.35889/jutisi.v14i2.2672.

S. Rahmah and R. Adiningsih, “Hubungan Faktor Lingkungan Dengan Kejadian Penyakit Demam Berdarah Dengue (DBD) di Kabupaten Majene,” Buletin Keslingmas, vol. 41, no. 2, pp. 65–69, Jul. 2022, doi: 10.31983/keslingmas.v41i2.8777.

F. Umar, S. Nirwan, and D. Safitri, “Peran Faktor Sosial Terhadap Kejadian HIV/AIDS pada Komunitas Lelaki Seks Lelaki (LSL) di Yayasan Banuta Pura Support Kota Palu,” Jurnal Kolaboratif Sains, vol. 7, no. 8, pp. 3054–3058, Aug. 2024, doi: 10.56338/jks.v7i8.5985.


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Article History
Submitted: 2026-01-20
Published: 2026-03-06
Abstract View: 101 times
PDF Download: 90 times
How to Cite
Ramadhani, T., & Fathoni, F. (2026). Analisis Pola Temporal Penyebaran Penyakit DBD dan HIV Berbasis Time Series Clustering. Building of Informatics, Technology and Science (BITS), 7(4), 2250-2260. https://doi.org/10.47065/bits.v7i4.9262
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