Article Per Year (5 Year)
p-Index From 2020 - 2025
1.789
P-Index
This Author published in this journals
All Journal Wahana Matematika dan Sains Techno.Com: Jurnal Teknologi Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Wikrama Parahita : Jurnal Pengabdian Masyarakat Jurnal Pilar Nusa Mandiri INOVTEK Polbeng - Seri Informatika Limits: Journal of Mathematics and Its Applications Riau Journal of Empowerment Applied Technology and Computing Science Journal Community Development Journal InPrime: Indonesian Journal Of Pure And Applied Mathematics
Ngatini
Universitas Internasional Semen Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Mathematics Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Wahana Matematika dan Sains

 1 
Aplikasi Kalman Filter untuk Memprediksi Jumlah Penderita Tuberkulosis di Indonesia Ngatini Ngatini; Devi Indriyani
Wahana Matematika dan Sains: Jurnal Matematika, Sains, dan Pembelajarannya Vol. 16 No. 1: April 2022
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.244 KB) | DOI: 10.23887/wms.v16i1.39593

Abstract

Tuberculosis or often called tuberculosis is an infectious disease of the respiratory tract caused by the Mycrobacterium tuberculosis. To see the spread of tuberculosis in the next 5 years, calculations are needed to predict the number of tuberculosis sufferers in the next year. In solving this problem, one of the right methods to predict the number of tuberculosis sufferers in Indonesia is Kalman Filter. Kalman Filter is an algorithm used to estimate state variables in linear systems. The process carried out in measurement with Kalman Filter is the initialization of variables, the prediction stage (Time Update), and the correction stage (measurement update). To see the error rate of the prediction result, the Mean Absolute Percentage Error (MAPE) calculation is used.
Co-Authors Alferdo Doni Fadlillah Andayani, Puji Anisah Firdausiah Oktarilivyana Azmi Alvian Gabriel Bayu Alfiansyah Bunga Brylline Putri Suharto Devi Indriyani Dharmawan, Yogantara Setya Erna Apriliani Hendro Nurhadi Juliana Kristi Lailatul Hidayah Mardhiyyah, Yunita Siti Maulin Masyito Putri Mohammad Arif Rasyidi Muhammad Faisal Ibrahim Muhammad Faisal Ibrahim Pangestu, Lanang Putri, Afrida Aulia Rasyidi, Mohammad Arif Sa'diyah, Chalimatus Sekarsari Utami Wijaya Setio Pambudi, Doni Sugiantoro, Achmad Reflyn Syauqi Mubarok, Muhammad Taufiqotul Bariyah Taufiqotul Bariyah