Penerapan Metode K-Nearest Neighbor Untuk Prediksi Jumlah Kasus HIV di Provinsi Jawa Barat
DOI:
https://doi.org/10.35746/jtim.v7i2.721Kata Kunci:
HIV Prediction, K-Nearest Neighbor, Data Mining, West JavaAbstrak
The high number of HIV/AIDS cases in Indonesia, especially in West Java Province, is a serious challenge in the field of public health. Limitations in understanding the pattern of spread and predicting the trend of HIV cases cause countermeasures to be less than optimal. To overcome this, this study was conducted with the aim of predicting the number of HIV cases in West Java using the K-Nearest Neighbor (KNN) algorithm, based on historical data from Open Data Jabar from 2019 to 2023 which includes 1,617 data from various districts / cities. The research stages include data collection, preprocessing, feature selection, normalization, division of training and test data, and model evaluation using regression metrics: Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R-squared (R²). The evaluation results show that the KNN model with an optimal K value of 19 produces an MAE of 142.31, MSE of 40,442.92, RMSE of 201.10, and R² value of 0.2397. Predictions for 2024 show that areas with the highest number of HIV cases are in Bandung City, Bogor Regency, Bekasi City, Bekasi Regency, and Indramayu Regency.
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Referensi
D. P. S. Dewi and A. Voutama, “Penerapan Algoritma K-means Pada Kasus HIV Di Jawa Barat Untuk Pengelompokan Berdasarkan Tingkat Penyebaran Di Setiap Kabupaten/Kota Menggunakan Rapidminer,” Jurnal Teknologi Sistem Informasi, vol. 4, no. 2, pp. 289–300, 2023, https://doi.org/10.35957/jtsi.v4i2.4949.
P. Taniwan, A. F. Bilbina, C. R. S. Ganap, and D. Y. Faidah, “Pemodelan Faktor-Faktor yang Memengaruhi Kejadian HIV/AIDS di Provinsi Jawa Barat,” Indo-MathEdu Intellectuals Journal, vol. 5, no. 3, pp. 3298–3308, 2024, https://doi.org/10.54373/imeij.v5i3.1278.
M. Soni, N. Rahaningsih, and R. Danar Dana, “Komparasi Algoritma K-Means Dan K-Medoids Clustering Pada Data Penyebaran Kasus Hiv Di Provinsi Jawa Barat,” JATI (Jurnal Mahasiswa Teknik Informatika), vol. 7, no. 6, pp. 3766–3772, 2024, https://doi.org/10.36040/jati.v7i6.8274.
Dkk. Ismail, I. A., “Hubungan Pengetahuan Dan Sikap Terhadap Pencegahan HIV / AIDS pada Remaja,” Borneo Nursing Journal (BNJ), vol. 4, no. 2, pp. 58–63, 2022, https://doi.org/10.61878/bnj.v4i2.39.
N. R. Ihzan Sayid Muallif, Herdi Budiman, “Penerapan Data Mining untuk Prediksi Pergerakan Harga Saham Menggunakan Algoritma K-Nearest Neighbor,” Jurnal Media Informatika Budidarma, vol. 8, no. 1, p. 497, 2024, https://doi.org/10.30865/mib.v8i1.7279.
V. Syafana, S. S. Hilabi, E. Novalia, and B. Huda, “Prediction of Birth Rates in Different Age Groups of Mothers Using the K-Nearest Neighbor ( K-NN ) Method Prediksi Angka Kelahiran dalam Berbagai Kelompok Umur Ibu Menggunakan Metode K-Nearest Neighbor,” vol. 4, no. July, pp. 1096–1103, 2024, https://www.journal.irpi.or.id/index.php/malcom/article/view/1392.
M. Yunus and N. K. A. Pratiwi, “Prediksi Status Gizi Balita Dengan Algoritma K-Nearest Neighbor (KNN) di Puskemas Cakranegara,” JTIM?: Jurnal Teknologi Informasi dan Multimedia, vol. 4, no. 4, pp. 221–231, 2023, https://doi.org/10.35746/jtim.v4i4.328.
V. Syafana, S. S. Hilabi, E. Novalia, and B. Huda, “Prediction of Birth Rates in Different Age Groups of Mothers Using the K-Nearest Neighbor ( K-NN ) Method Prediksi Angka Kelahiran dalam Berbagai Kelompok Umur Ibu Menggunakan Metode K-Nearest Neighbor,” vol. 4, no. July, pp. 1096–1103, 2024, https://www.journal.irpi.or.id/index.php/malcom/article/view/1392.
D. Agung Pratama, E. Novalia, A. Lia Hananto, and U. Buana Perjuangan Karawang, “Implementasi Metode Simple Additive Weighting Menggunakan Python Terhadap Penentuan Menu Minuman Favorit,” INNOVATIVE: Journal Of Social Science Research, vol. 4, pp. 3395–3407, 2024, http://j-innovative.org/index.php/Innovative/article/view/9594.
O. D. Jabar, “Jumlah Kasus HIV Berdasarkan Kabupaten/Kota di Jawa Barat,” ????. Accessed: Sep. 20, 2024, https://opendata.jabarprov.go.id/id/dataset/jumlah-kasus-hiv-berdasarkan-kabupatenkota-di-jawa-barat
Moch. Lutfi, “Prediksi Harga Terendah Dan Harga Tertinggi Dengan Menggunakan Metode Anfis Untuk Analisa Teknikal Pada Forex Market,” JTIM?: Jurnal Teknologi Informasi dan Multimedia, vol. 1, no. 3, pp. 261–268, 2019, https://doi.org/10.35746/jtim.v1i3.40.
Moh. A. Azman and N. Nafi’iyah, “Knn for Classification of Fruit Types Based on Fruit Features,” Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM), vol. 7, no. 1, pp. 31–36, 2022, doi: https://doi.org/10.20527/jtiulm.v7i1.100.
H. W. A. Haeruddin, Erick, “Perbandingan Support Vector Machine, Random Forest Classi- fier, dan K-Nearest Neighbour dalam Pendeteksian Anomali pada Jaringan DDos,” vol. 7, no. 1, pp. 23–33, 2025, https://doi.org/10.35746/jtim.v7i1.628.
R. Bahtiar, “Implementasi Data Mining Untuk Prediksi Penjualan Kusen Terlaris Menggunakan Metode K-Nearest Neighbor,” Jurnal Informatika MULTI, vol. 1, no. 3, pp. 203–214, 2023, https://jurnal.publikasitecno.id/index.php/multi/article/view/33.
D. N. Aini, B. Oktavianti, M. J. Husain, D. A. Sabillah, S. T. Rizaldi, and M. Mustakim, “Seleksi Fitur untuk Prediksi Hasil Produksi Agrikultur pada Algoritma K-Nearest Neighbor (KNN),” Jurnal Sistem Komputer dan Informatika (JSON), vol. 4, no. 1, p. 140, 2022, https://doi.org/10.30865/json.v4i1.4813.
N. Prasetya and W. Tampubolon, “Penerapan Algoritma K-Nearest Neighbor (KNN) Untuk Prediksi Pengajuan Kredit Perumahan Pada PT. Bopala Kencana Permai,” 2022.
R. N. Angraeni, B. Priyatna, A. Hananto, and S. S. Hilabi, “Application of the K-Nearest Neighbor Method to Predict Demand for Goods from Customers at PT Sinergi Prima Enjineering,” pp. 99–109, 2024, https://doi.org/10.54209/jurnalinstall.v16i02.200.
U. Nijunnihayah, S. S. Hilabi, F. Nurapriani, and E. Novalia, “Implementasi Algoritma K-Nearest Neighbor untuk Prediksi Penjualan Alat Kesehatan pada Media Alkes,” MALCOM: Indonesian Journal of Machine Learning and Computer Science, vol. 4, no. 2, pp. 695–701, 2024, https://doi.org/10.57152/malcom.v4i2.1326.
D. Puspita Sari, S. Shofia Hilabi, and Agustia Hananto, “Penerapan Data Mining Metode K-Nearest Neighbor Untuk Memprediksi Kelulusan Siswa Sekolah Menengah Pertama,” SMARTICS Journal, vol. 9, no. 1, pp. 14–19, 2023, https://doi.org/10.21067/smartics.v9i1.8088.
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Hak Cipta (c) 2025 Muhammad Adam Rizky Habibi, Shofa Shofia Hilabi, Bayu Priyatna, Elfina Novalia
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