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All Journal Seminar Nasional Informatika (SEMNASIF) JIKO (Jurnal Informatika dan Komputer) Seminar Nasional Variansi (Venue Artikulasi-Riset, Inovasi, Resonansi-Teori, dan Aplikasi Statistika) IKRA-ITH Informatika : Jurnal Komputer dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Sisfokom (Sistem Informasi dan Komputer) IKRA-ITH ABDIMAS Syntax Idea International Journal of Informatics and Computation JIKA (Jurnal Informatika) International Journal of Research in Community Services Jurnal Informatika Terpadu Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Formosa Journal of Science and Technology (FJST) Jurnal Pengabdian Masyarakat Bestari (JPMB) Formosa Journal of Applied Sciences (FJAS) Jurnal Keguruan dan Ilmu Pendidikan Prosiding Konferensi Nasional Penelitian Matematika dan Pembelajarannya Universal Raharja Community (URNITY Journal) Jikom: Jurnal Informatika dan Komputer Jurnal Elektronika dan Teknik Informatika Terapan JI-Tech Jurnal PETISI (Pendidikan Teknologi Informasi)
Barus, Simon Prananta
Matana University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Formosa Journal of Science and Technology (FJST)

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Predicting the Number of People Exposed to Covid 19 with the Newton Gregory Maju Polynomial Interpolation Method F. Anthon Pangruruk; Simon P. Barus
Formosa Journal of Science and Technology Vol. 1 No. 8 (2022): December 2022
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v1i8.2185

Abstract

Since March 2020 until now the Corona Virus (Covid-19) is still running rampant and even new variants have appeared. The increase in people exposed to this virus can cripple the community's economy. The government must be able to anticipate the increasingly high spread of Covid-19. Therefore, a prediction model is needed for the number of people exposed to Covid-19 so that the government can anticipate it as a preventive measure. Research that has been carried out since early 2021 using the Monte Karlo, Arima, K-Nearest Neighbors methods, Time Series Analysis, Winter and Artificial Neural Networks. Furthermore, the researchers predicted the number of people exposed to Covid-19 using the Newton Gregory Maju interpolation method. The prediction results for the DKI Jakarta area in March 2022 are based on historical data for January - February 2022 with the smallest error of 2.17%, the highest error of 46.28% and the average error of 17.27%.
Co-Authors Abel Laia, Nico Anthony, Eveline Valencia Anton F. Pangruruk Ardila, Veronica Yose Ardila Ary Budi Warsito Ary Budi Warsito Az-zahra, Adinda Safitri Bakti Siregar Celvin, Jullius Dhamma, Yonathan Arya F. Anthon Pangruruk F. Anthon Pangruruk Geraldo Julius Halim Gulo, Imanuel Andreas Jong, Novesa Erick Jose Ryu Leonesta Kenneth Liem Hardadi Kenneth Liem Hardadi Laia, Nico Abel Leonesta, Jose Ryu Marco Suteja Nico Abel Laia Pangestu, Timothy Daniel Pangestu, Timothy Daniel Pangestu Pangruruk, F. Anthon Paramitha Gunawan Prya Artha Widjaja Sabrina Yose Amalia Sabrina Yose Amelia Saranani, Fiola Arta Glorya Seo, Jeriko Ichtus Stanley Tejadinata Sujanto, Sujanto Tangdililing, Matius Monto Lungan Veronica Yose Ardilla Widjaya, Prya Artha Artha