C. Long et al., “Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?,” Eur. J. Radiol., vol. 126, no. February, p. 108961, 2020, doi: 10.1016/j.ejrad.2020.108961.
F. Ye et al., “Delivery of infection from asymptomatic carriers of COVID-19 in a familial cluster,” Int. J. Infect. Dis., vol. 94, pp. 133–138, 2020, doi: 10.1016/j.ijid.2020.03.042.
S. Sanche, Y. T. Lin, C. Xu, E. Romero-Severson, N. Hengartner, and R. Ke, “RESEARCH High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2,” Emerg. Infect. Dis., vol. 26, no. 7, pp. 1470–1477, 2020, doi: 10.3201/eid2607.200282.
Kementerian Kesehatan Republik Indonesia, “Situasi Terkini Perkembangan (COVID-19) (21 Mei 2020),” Kemenkes, no. September, pp. 17–19, 2020, [Online]. Available: https://covid19.kemkes.go.id/download/Situasi_Ter kini_050520.pdf.
D. Susanna, “When will the COVID-19 pandemic in indonesia end?,” Kesmas, vol. 15, no. 4, pp. 160–162, 2020, doi: 10.21109/KESMAS.V15I4.4361.
Kompas.com, “Kasus Covid-19 di Pamekasan Madura Naik , Salah Satunya Ibu Hamil,” 2022. https://jatim.liputan6.com/read/4879634/kasus-covid-19-di-pamekasan-madura-naik-salah-satunya-ibu-hamil.
D. Wulan Sari, “Analisis Dan Perbandingan Algoritma Prediksi Dalam Mengetahui Perkiraan Peningkatan Jumlah Kasus Covid-19 Di,” no. June, 2021.
F. Salsabila and S. M. Intani, “Implementasi Algoritma K-Means Dan C4.5 Dalam Menentukan Tingkat Penyebaran Covid-19 Di Indonesia,” Siliwangi, vol. 7, no. 1, pp. 25–30, 2021.
S. B. Imandoust and M. Bolandraftar, “Application of K-Nearest Neighbor ( KNN ) Approach for Predicting Economic Events : Theoretical Background,” Int. J. Eng. Res. Appl., vol. 3, no. 5,
pp. 605–610, 2013.
K. Alkhotib, “Stock Price Prediction Using K - Nearest Neighbor ( k NN ) Algorithm,” Int. J. Business, Humanit. Technol., vol. 3, no. 3, pp. 32–
, 2013.
D. M. umi Atmaja, A. R. Hakim, D. Haryadi, and N. Suwaryo, “Penerapan Algoritma K-Nearest Neighbor Untuk Prediksi Pengelompokan Tingkat Risiko Penyebaran COVID-19 Jawa Barat,” SNTEM, vol. 1, no. November, pp. 1218–1226, 2021.
L. Kuang, H. Yan, Y. Zhu, S. Tu, and X. Fan, “Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor,” J. Intell. Transp. Syst. Technol. Planning, Oper., vol. 23, no. 2, pp. 161–174, 2019, doi: 10.1080/15472450.2018.1536978.
C. H. Cheng, C. P. Chan, and Y. J. Sheu, “A novel purity-based k nearest neighbors imputation method and its application in financial distress prediction,” Eng. Appl. Artif. Intell., vol. 81, no. March, pp. 283–299, 2019, doi: 10.1016/j.engappai.2019.03.003.
M. Kück and M. Freitag, “Forecasting of customer demands for production planning by local k-nearest neighbor models,” Int. J. Prod. Econ., vol. 231, p. 107837, 2021, doi: 10.1016/j.ijpe.2020.107837.
F. Borghesan, M. Chioua, and N. F. Thornhill, “Forecasting of process disturbances using k-nearest neighbours, with an application in process control,” Comput. Chem. Eng., vol. 128, no. 675215, pp. 188–200, 2019, doi: 10.1016/j.compchemeng.2019.05.009.
M. Lestandy and L. Syafa’ah, “Prediksi Kasus Aktif Covid-19 Menggunakan Metode K-Nearest Neighbors,” in Seminar Nasional Teknologi dan Rekayasa (SENTRA) 2020, 2020, pp. 45–48.
Z. yong Huang et al., “Predicting the morbidity of chronic obstructive pulmonary disease based on multiple locally weighted linear regression model with K-means clustering,” Int. J. Med. Inform., vol. 139, no. April, p. 104141, 2020, doi: 10.1016/j.ijmedinf.2020.104141.
C. H. Huang and S. H. Hsieh, “Predicting BIM labor cost with random forest and simple linear regression,” Autom. Constr., vol. 118, no. May, p. 103280, 2020, doi: 10.1016/j.autcon.2020.103280.
A. Tri et al., “Peramalan Jumlah Titik Panas Provinsi Kalimantan Timur Menggunakan Metode Radial Basis Function Neural Network,” JAMBURA
J. Probab. Stat., vol. 1, no. November, 2020.
L. Suhartini, M. B. Sulthan, I. Wahyudi, T. Informasi, and F. Teknik, “Optimasi K-Nearest Neighbor Dengan Particle Swarm,” vol. 2, no. 2, 2021.
M. S. Bhullar and A. Kaur, “Use of data mining in education sector,” Lect. Notes Eng. Comput. Sci., vol. 1, no. April, pp. 513–516, 2012.
L. Zhang, Q. Liu, W. Yang, N. Wei, and D. Dong, “An Improved K -nearest Neighbor Model for Short-term Traffic Flow Prediction,” Procedia - Soc. Behav. Sci., vol. 96, no. Cictp, pp. 653–662, 2013, doi: 10.1016/j.sbspro.2013.08.076.
T. Indarwati, T. Irawati, and E. Rimawati, “Penggunaan Metode Linear Regression Untuk Prediksi Penjualan Smartphone,” J. Teknol. Inf. dan Komun., vol. 6, no. 2, pp. 2–7, 2019, doi: 10.30646/tikomsin.v6i2.369.
M. E. Lasulika, “Prediksi Harga Komoditi Jagung Menggunakan K-Nn Dan Particle Swarm Optimazation,” vol. 9, pp. 233–238, 2017.dari keseluruhan proses, dan bukan sebagai dokumen independen.
(Institut Sains dan Teknologi Annuqayah) 
