Facial reconstruction

Search LJMU Research Online

Browse Repository | Browse E-Theses

Vaccine prediction system using ARIMA method

Sahisnu, JS, Natalia, F, Ferdinand, FV, Sudirman, S and Ko, C-S (2020) Vaccine prediction system using ARIMA method. ICIC Express Letters, Part B: Applications, 11 (6). pp. 567-575. ISSN 2185-2766 (Accepted)

[img] Text
ICICIC2019-SS15-03(Edit).pdf - Accepted Version
Restricted to Repository staff only

Download (1MB)

Abstract

Indonesia is a country that runs health programs in the form of primary compulsory immunizations for children aged 0-11 months. According to the Health Law, Number 36 of 2009 states that every child has the right to receive primary immunization by the provisions to prevent the occurrence of diseases that can be avoided through immunization. The Indonesian government are also obliged to provide complete immunization to every baby and child by the implementation of immunization contained in the Minister of Health Regulation Number 42 of 2013. The purpose of this study is to predict vaccine stock for immunization needs, and the government can use the application to determine vaccine stock requirements for each clinic so that there is no shortage or excess stock. This prediction can ensure that immunization coverage is well distributed. We can help parties who organize primary immunization activities by making predictions and forecasting results based on the R application. In addition, the application can provide information in the form of predictive analysis. The method used in measuring predictions is ARIMA (Auto-Regressive Integrated Moving Average) to calculate the prediction of immunization.

Item Type: Article
Uncontrolled Keywords: Inventory forecasting; ARIMA; Immunization; Time series; Data visualization; Vaccine-preventable disease
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Computer Science & Mathematics
Publisher: ICIC International
Date Deposited: 21 May 2020 09:07
Last Modified: 21 May 2020 09:15
DOI or Identification number: 10.24507/icicelb.11.06.567
URI: https://researchonline.ljmu.ac.uk/id/eprint/12975

Actions (login required)

View Item View Item