Wahana Matematika dan Sains
Vol. 16 No. 1: April 2022

Aplikasi Kalman Filter untuk Memprediksi Jumlah Penderita Tuberkulosis di Indonesia

Ngatini Ngatini (Universitas Internasional Semen Indonesia)
Devi Indriyani (Universitas Internasional Semen Indonesia)



Article Info

Publish Date
13 Apr 2022

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.

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Journal Info

Abbrev

JPM

Publisher

Subject

Description

Wahana Matematika dan Sains merupakan jurnal yang menampung tulisan hasil penelitian atau kajian pustaka dalam bidang MIPA atau pendidikan MIPA yang belum pernah atau tidak dalam sedang proses untuk dipublikasikan pada jurnal lain. Tulisan bisa dalam bahasa Indonesia ataupun bahasa ...