Analysis of Tuberculosis Patient Data Distribution Using the Aggregation Function

Eka Mala Sari Rochman, Miswanto, Herry Suprajitno

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

Abstract

The human body has an immune system that functions to defend the body and prevent bacteria from entering it. However, a weak or vulnerable immune system can make the body susceptible to bacteria, for example, minor illnesses such as the flu or severe diseases, namely tuberculosis (TB). Tuberculosis is a disease that is caused by infection with the bacterium Mycobacterium tuberculosis which is contagious and deadly. In 2017, in Indonesia, TB patients increased to the third rank in the world. In the field of computing, the application of statistical science cannot be separated. One application of the field of computing is data mining which aims to find and explore or add knowledge based on data or information. This effort serves to reveal important information contained in the data. Aggregation queries are formulated using the simple SQL language that computes aggregation functions (such as MIN, MAX, COUNT, SUM, AVG). The distribution of TB patient data shows an increase every year with an average age of 46-65 years, which is dominated by men.

Original languageEnglish
Title of host publication1st International Conference on Neuroscience and Learning Technology, ICONSATIN 2021
EditorsArika Indah Kristiana, Ridho Alfarisi
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735443006
DOIs
Publication statusPublished - 4 Jan 2023
Event1st International Conference on Neuroscience and Learning Technology, ICONSATIN 2021 - Jember, Indonesia
Duration: 18 Sept 202119 Sept 2021

Publication series

NameAIP Conference Proceedings
Volume2679
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference1st International Conference on Neuroscience and Learning Technology, ICONSATIN 2021
Country/TerritoryIndonesia
CityJember
Period18/09/2119/09/21

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