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All Journal Jurnal Ilmiah Kursor Journal of Natural Sciences and Mathematics Research Jurnal Matematika: MANTIK Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Jurnal Abdi: Media Pengabdian Kepada Masyarakat Contemporary Mathematics and Applications (ConMathA) Didaktika: Jurnal Pemikiran Pendidikan Tensor: Pure and Applied Mathematics Journal Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) NERO (Networking Engineering Research Operation)
Tony Yulianto
Universitas Islam Madura
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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Prediksi Pasien Covid-19 yang Meninggal di Jawa Timur Menggunakan Metode Regresi Spline Truncated Aini, Qurrotul; Yulianto, Tony; Faisol, Faisol
Zeta - Math Journal Vol 7 No 2 (2022): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2022.7.2.79-83

Abstract

Corona Virus Disease 2019 (COVID-19) was first discovered at the end of 2019 in Wuhan, China. The virus attacks the respiratory system with pneumonia-like symptoms. This virus is classified as a new virus so it does not have an antidote and has spread throughout the world until it is out of control. There are more than 200 countries reporting covid-19 cases including Indonesia. Because the biggest effect of COVID-19 is death, so researchers need to predict whether the mortality rate of COVID-19 patients. One method for predicting covid-19 patients who died in East Java is using the spline truncated regression method. Spline regression is a regression analysis that is able to estimate data that does not have a specific pattern and has a tendency to seek data estimates fro, the formed pattern on its own, while truncated is a function that can be interpreted as a function of slice. And produces a GCV value of 51.0167, a MAPE value 47.0096, MSE 32.9825, and R-Sq 0.9998. Based on the MAPE value, the prediction model is said to be still reasonable.
Co-Authors Amalia, Rica Anekawati, Anik Anisa Anisa Anisa A’lailliyyin1, A’lailliyyin Buhari Buhari Dian Fitriani Emi Yunita Faisol Faisol Faisol Faisol, Faisol Fathorrozi Ariyanto Fatimatus Zahroh Fauzan . Firdausiyah Firdausiyah Hasan Hasan Ilmiyatus Solehah Ira Yudistira Ira Yudistira ku, Kuzairi Kuzairi Lilik Safitri M. Fariz Fadillah Mardianto Mahrus Mahrus, Mahrus Moch. Haikal Moh. Yaqin Mohamad Tafrikan Mohamad Tafrikan Mufarrohah, Mufarrohah Muhammad Rivai Na'malia, sakinun Noer Azizah Nur Jannah Nurfitriyah, Luluk Nurmadhani, Nadya Nurul Hasanah Nurul M’rifatil Laila Putri Amaningsih Qurrotul Aini Rahmah, Alfiana Faizzatur Rica Amalia Rica Amalia Rica Amalia Riyatun Hasanah Sari, Iin Nofita Sarmiatul Hasanah Siti Amiroch, Siti Siti Anisah Siti Lailiyah, Siti Siti Romlah Sofiyanto, Sofiyanto Sofyan, Moh. Sri Suryanti Suci Rohani Tengku Riza Zarzani N Ulfaniyah, Nur Ita Ummi Nur Yatun Hasanah Yaqin, Moh Yudistira, Ira Yulianto, Toni Zaifullah, Zaifullah Zainuddin, Moh Zuhrotul Hasanah Zulaikha, Layla Imroatu