Mobile Application for Acute Respiratory Infection Clustering

Faried Effendy, Taufik, Hismoyo Narendra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Industrial and transport contamination has become the leading cause of acute respiratory infection (ARI) in major cities such as Surabaya. Geographical and social factors also influence the ARI spread pattern. The Geographic Information System (GIS) is one of the essential epidemiological tools to identify high-risk population groups and geographic areas of ARI. In this paper, we developed a mobile application that provides ARI evidence with related resources, such as geographic and demographic factors. Evidence is grouped and visualized using k - means and Geographic Information Systems (GIS) to evaluate disease distribution patterns and provide better visualization. The evaluation results showed that the application developed was excellent and appropriate to simulate the process of ARI propagation.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
EditorsElly Pusporani, Nashrul Millah, Eva Hariyanti
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735447738
Publication statusPublished - 22 Dec 2023
EventInternational Conference on Mathematics, Computational Sciences, and Statistics 2022, ICoMCoS 2022 - Hybrid, Surabaya, Indonesia
Duration: 2 Oct 20223 Oct 2022

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


ConferenceInternational Conference on Mathematics, Computational Sciences, and Statistics 2022, ICoMCoS 2022
CityHybrid, Surabaya


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