Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam
Vol. 15 No. 1 (2026): Volume 15 Nomor 1 (Maret 2026)

Prediction Number Of Individuals Infected With Tuberculosis Using The Kalman Filter Method

Ghina Ramadhita (Universitas Airlangga)
Nenik Estuningsih (Universitas Airlangga)
Windarto (Universitas Airlangga)



Article Info

Publish Date
25 Sep 2026

Abstract

The spread Tuberkulosis cases in Indonesia, especially in East Java Province, is still relatively high. The number of individuals infected with tuberculosis can be modeled using the SEIR model. The prediction number of individuals infected tuberculosis is needed to prevent an increase in the risk of the disease. The number of individuals infected with tuberculosis is predicted using Kalman Filter method with a linearized and discreatized SEIR model. The results show that the prediction number of individuals infected with tuberculosis is close to the actual value based on a relativ

Copyrights © 2026






Journal Info

Abbrev

sainsmat

Publisher

Subject

Description

The objective of this journal is to publish original, fully peer-reviewed articles on a variety of topics and research methods in sciences, mathematics, statistics, education, and applied science. The journal welcomes articles that address common issues in mathematics, sciences, statistics, ...