Analisa Prediksi Time Series Jumlah Kasus Covid-19 Dengan Metode BPNN Di Bali
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The COVID-19 pandemic has not yet subsided. This epidemic has spread to almost all countries in the world. In Indonesia, especially in the province of Bali, which experienced a large number of additional positive cases, recoveries and deaths from COVID-19, an analysis was carried out. The purpose of this analysis is to be able to obtain accuracy in predicting the addition of COVID-19 cases, recoveries and deaths in the province of Bali, predictions are made using the covid-19 time series data used in making predictions. what was done obtained the best and not good prediction accuracy, prediction using one input and one output obtained the best precision model accuracy of 72% and for poor accuracy using three inputs and one output with a prediction model accuracy of 33% in the process Covid-19 predictions in Bali.
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Wadi, F., sugiartawan, putu, Adriani, N. N., & Adriani, N. N. (2022). Analisa Prediksi Time Series Jumlah Kasus Covid-19 Dengan Metode BPNN Di Bali. Jurnal Sistem Informasi Dan Komputer Terapan Indonesia (JSIKTI), 4(1), 24-33. https://doi.org/10.33173/jsikti.124
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References
[1] M. R. Fauzi, P. Eosina, and D. Primasari, “( JUSS ) Jurnal Sains dan Sistem Informasi DETEKSI CORONAVIRUS DISEASE PADA X-RAY DAN CT-SCAN PARU ( JUSS ) Jurnal Sains dan Sistem Informasi E-ISSN 2614-8277,” vol. 3, no. 2, 2020.
[2] P. S. Saraswati, “Kebijakan Hukum Terhadap Penanganan Pandemi Covid-19 di Indonesia,” Kertha Wicaksana, vol. 14, no. 2, pp. 147–152, 2020, doi: 10.22225/kw.14.2.1923.147-152.
[3] M. Saputra, M. Arsyi, N. Nurhanifah, S. N. Octavia, and H. Pratomo, “Evaluasi Pedoman Penanganan Cepat Medis dan Kesehatan Masyarakat tentang Coronavirus Disease (COVID-19) di Indonesia,” J. Ilm. Ilmu Keperawatan Indones., vol. 10, no. 02, pp. 8–17, 2020, doi: 10.33221/jiiki.v10i02.590.
[4] M. Mulyadi, “Partisipasi Masyarakat Dalam Penanganan Penyebaran Covid-19,” Pus. Penelit. Badan Keahlian DPR RI, vol. XII, no. 8, pp. 13–18, 2020.
[5] W. Swastika, P. Studi, T. Informatika, and P. Korespondensi, “Studi Awal Deteksi Covid-19 Menggunakan Citra Ct Berbasis Deep Preliminary Study of Covid-19 Detection Using Ct Image Based on,” J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 3, pp. 629–634, 2020, doi: 10.25126/jtiik.202073399.
[6] R. S. Naibaho, “Peranan Dan Perencanaan Teknologi Informasi Dalam Perusahaan,” J. War., no. April, p. 4, 2017, [Online]. Available: https://media.neliti.com/media/publications/290731-peranan-dan-perencanaan-teknologi-inform-ad00d595.pdf.
[7] P. Sugiartawan, I. D. K. R. Rustina, and R. W. Saleh Insani, “E-Government Media Informasi Alat Kelengkapan Dewan Provinsi Bali dan Media Diskusi Berbasis Website,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 2, pp. 75–86, 2018, doi: 10.33173/jsikti.17.
[8] I. Pratistha, I. P. A. Mahadewa, and P. Sugiartawan, “Sistem Pendukung Keputusan Kelompok Pemilihan E-Commerrce Menggunakan Metode Profile Matching dan BORDA,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 1, pp. 13–24, 2018.
[9] M. N. D. SAWITRI, I. W. SUMARJAYA, and N. K. T. TASTRAWATI, “Peramalan Menggunakan Metode Backpropagation Neural Network,” E-Jurnal Mat., vol. 7, no. 3, p. 264, 2018, doi: 10.24843/mtk.2018.v07.i03.p213.
[10] P. Sugiartawan, R. Pulungan, and A. K. Sari, “Prediction by a Hybrid of Wavelet Transform and Long-Short-Term-Memory Neural Network,” Int. J. Adv. Comput. Sci. Appl, vol. 8, no. 2, 2017.
[11] P. Sugiartawan, S. Hartati, and A. Musdholifah, “Tourist Visits Prediction with Fully Recurrent Neural Network,” Int. Conf. Inf. Technol. Eng. Sci. its Appl., 2018.
[12] S. Pratama and E. K. Putra, “Rancang Bangun Sistem Informasi Perpustakaan Berbasis Website Pada Smpn 1 Kertak Hanyar,” Technol. J. Ilm., vol. 10, no. 2, p. 68, 2019, doi: 10.31602/tji.v10i2.1809.
[13] F. Nur Hadiansyah, “Prediksi Harga Cabai dengan Menggunakan pemodelan Time Series ARIMA,” Indones. J. Comput., vol. 2, no. 1, p. 71, 2017, doi: 10.21108/indojc.2017.2.1.144.
[14] F. Ahmad, “PENENTUAN METODE PERAMALAN PADA PRODUKSI PART NEW GRANADA BOWL ST Di PT . X Determine the actual and actual production plan is the main thing for the organization to avoid large losses in calculating the amount of production , PT . This research is to det,” J. Integr. Sist. Ind., vol. 7, no. 1, pp. 31–39, 2020.
[15] M. H. Dar, “Penerapan Metode Backpropagation Neural Network Untuk Memprediksi Produksi Air,” Maj. Ilm. INTI, vol. 12, no. 2, pp. 203–208, 2017.
[16] H. Agusvianto, “Sistem Informasi Inventori Gudang Untuk Mengontrol Persediaan Barang Pada Gudang Studi Kasus : PT.Alaisys Sidoarjo,” J. Inf. Eng. Educ. Technol., vol. 1, no. 1, p. 40, 2017, doi: 10.26740/jieet.v1n1.p40-46.
[2] P. S. Saraswati, “Kebijakan Hukum Terhadap Penanganan Pandemi Covid-19 di Indonesia,” Kertha Wicaksana, vol. 14, no. 2, pp. 147–152, 2020, doi: 10.22225/kw.14.2.1923.147-152.
[3] M. Saputra, M. Arsyi, N. Nurhanifah, S. N. Octavia, and H. Pratomo, “Evaluasi Pedoman Penanganan Cepat Medis dan Kesehatan Masyarakat tentang Coronavirus Disease (COVID-19) di Indonesia,” J. Ilm. Ilmu Keperawatan Indones., vol. 10, no. 02, pp. 8–17, 2020, doi: 10.33221/jiiki.v10i02.590.
[4] M. Mulyadi, “Partisipasi Masyarakat Dalam Penanganan Penyebaran Covid-19,” Pus. Penelit. Badan Keahlian DPR RI, vol. XII, no. 8, pp. 13–18, 2020.
[5] W. Swastika, P. Studi, T. Informatika, and P. Korespondensi, “Studi Awal Deteksi Covid-19 Menggunakan Citra Ct Berbasis Deep Preliminary Study of Covid-19 Detection Using Ct Image Based on,” J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 3, pp. 629–634, 2020, doi: 10.25126/jtiik.202073399.
[6] R. S. Naibaho, “Peranan Dan Perencanaan Teknologi Informasi Dalam Perusahaan,” J. War., no. April, p. 4, 2017, [Online]. Available: https://media.neliti.com/media/publications/290731-peranan-dan-perencanaan-teknologi-inform-ad00d595.pdf.
[7] P. Sugiartawan, I. D. K. R. Rustina, and R. W. Saleh Insani, “E-Government Media Informasi Alat Kelengkapan Dewan Provinsi Bali dan Media Diskusi Berbasis Website,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 2, pp. 75–86, 2018, doi: 10.33173/jsikti.17.
[8] I. Pratistha, I. P. A. Mahadewa, and P. Sugiartawan, “Sistem Pendukung Keputusan Kelompok Pemilihan E-Commerrce Menggunakan Metode Profile Matching dan BORDA,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 1, pp. 13–24, 2018.
[9] M. N. D. SAWITRI, I. W. SUMARJAYA, and N. K. T. TASTRAWATI, “Peramalan Menggunakan Metode Backpropagation Neural Network,” E-Jurnal Mat., vol. 7, no. 3, p. 264, 2018, doi: 10.24843/mtk.2018.v07.i03.p213.
[10] P. Sugiartawan, R. Pulungan, and A. K. Sari, “Prediction by a Hybrid of Wavelet Transform and Long-Short-Term-Memory Neural Network,” Int. J. Adv. Comput. Sci. Appl, vol. 8, no. 2, 2017.
[11] P. Sugiartawan, S. Hartati, and A. Musdholifah, “Tourist Visits Prediction with Fully Recurrent Neural Network,” Int. Conf. Inf. Technol. Eng. Sci. its Appl., 2018.
[12] S. Pratama and E. K. Putra, “Rancang Bangun Sistem Informasi Perpustakaan Berbasis Website Pada Smpn 1 Kertak Hanyar,” Technol. J. Ilm., vol. 10, no. 2, p. 68, 2019, doi: 10.31602/tji.v10i2.1809.
[13] F. Nur Hadiansyah, “Prediksi Harga Cabai dengan Menggunakan pemodelan Time Series ARIMA,” Indones. J. Comput., vol. 2, no. 1, p. 71, 2017, doi: 10.21108/indojc.2017.2.1.144.
[14] F. Ahmad, “PENENTUAN METODE PERAMALAN PADA PRODUKSI PART NEW GRANADA BOWL ST Di PT . X Determine the actual and actual production plan is the main thing for the organization to avoid large losses in calculating the amount of production , PT . This research is to det,” J. Integr. Sist. Ind., vol. 7, no. 1, pp. 31–39, 2020.
[15] M. H. Dar, “Penerapan Metode Backpropagation Neural Network Untuk Memprediksi Produksi Air,” Maj. Ilm. INTI, vol. 12, no. 2, pp. 203–208, 2017.
[16] H. Agusvianto, “Sistem Informasi Inventori Gudang Untuk Mengontrol Persediaan Barang Pada Gudang Studi Kasus : PT.Alaisys Sidoarjo,” J. Inf. Eng. Educ. Technol., vol. 1, no. 1, p. 40, 2017, doi: 10.26740/jieet.v1n1.p40-46.