Forecasting Pneumonia Toddler Mortality Using Comparative Model ARIMA and Multilayer Perceptron

Jurnal RESTI: Rekayasa Sistem dan Teknologi Informasi

article

Ni Kadek Ary Indah Suryani¹  Oka Sudana¹  Ayu Wirdiani¹ 

[1] Universitas Udayana

关键词: Pneumonia;    Forecasting;    ARIMA;    Multilayer Perceptron;   

DOI  :  10.29207/resti.v6i4.4106

来源: Ikatan Ahli Indormatika Indonesia

【 摘 要 】

Pneumonia is an inflammatory lung disease that causes the second largest number of deaths in Indonesia after Dengue Hemorrhagic Fever (DHF). In 2021, there was an increase in cases of 7.8% compared to the previous year, and was exacerbated by the Covid-19 pandemic. Predictive methods were needed to predict and compare the ARIMA and MLP methods, where the results of the best methods were selected for long-term forecasting. The research data used was from January 2014 – December 2021, with a total of 96 data. In choosing the best method, the basic error calculations used were Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. This study aims to build a predictive model for the next period of pneumonia under-five mortality. These results can be used for government policy-making related to mortality prevention for the next period. The results showed that the MLP method was superior to ARIMA. Testing 28 mortality rate data using the final test result showed that the best method was MLP, with a hidden layer value of 2.2, a learning rate of 0.3, and an error percentage of 1.27%. The prediction results of the overall mortality rate of pneumonia under five in 2022 was predicted to be 136 people.

【 授权许可】

Unknown