Syaifullah, Dicky Novanda and Hidayati, Rahmatina (2024) Prediksi Kejadian Penyakit Tuberkulosis Paru Menggunakan Metode Peramalan Moving Average dan Dekomposisi Time Series. Antivirus: Jurnal Ilmiah Teknik Informatika, 18 (1). pp. 37-45. ISSN p–ISSN: 1978–5232; e–ISSN: 2527–337X

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Abstract

The third-highest number of pulmonary tuberculosis-related deaths occurs in Indonesia. To stop TB from spreading throughout Indonesia, in 2021 To stop and slow the spread of tuberculosis, the government started a control program. One effort to assess whether the program that has been implemented is operating well or not is to forecast the incidence of pulmonary tuberculosis. This research aims to predict the incidence of pulmonary tuberculosis to provide useful information for health workers and related parties in efforts to prevent and control pulmonary tuberculosis at Hospital X, Malang City in 2024. The technique to forecast the number of people afflicted with tuberculosis is a moving average. and time series decomposition. The multipicative decomposition method produces the smallest MAPE, namely 15.37%, which is in the good category compared to additive and moving average decomposition. In 2022 and 2023 there will be a significant spike in pulmonary tuberculosis cases at Hospital X Malang City and men have a higher risk factor than women. Most cases of pulmonary tuberculosis infection occur in the elderly (46-65 years) and adults (26-45 years) age groups.

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