Research Article
Development of Health Information System in TB Control Decision Support: Territoriality-Based Approach
@INPROCEEDINGS{10.4108/eai.22-7-2020.2300294, author={Maryani Setyowati and Noor Alis Setiyadi and Suharyo Suharyo and Dwi Feri Febiyanto and Slamet Sudaryanto}, title={Development of Health Information System in TB Control Decision Support: Territoriality-Based Approach}, proceedings={Proceedings of the 5th International Seminar of Public Health and Education, ISPHE 2020, 22 July 2020, Universitas Negeri Semarang, Semarang, Indonesia}, publisher={EAI}, proceedings_a={ISPHE}, year={2020}, month={9}, keywords={tuberculosis decision support system suspect tracking mapping}, doi={10.4108/eai.22-7-2020.2300294} }- Maryani Setyowati
Noor Alis Setiyadi
Suharyo Suharyo
Dwi Feri Febiyanto
Slamet Sudaryanto
Year: 2020
Development of Health Information System in TB Control Decision Support: Territoriality-Based Approach
ISPHE
EAI
DOI: 10.4108/eai.22-7-2020.2300294
Abstract
The Case Notification Rate of Tuberculosis (TB) in Sukoharjo regency in 2018 was the lowest. Various efforts have been undertaken, but the results have not yet reached the target. The research purpose was to develop a TB decision support system to assist in the TB suspects screening program in the Sukoharjo Regency. The method was a system development with System Development Life Cycle approach in Sukoharjo Regency. Research subjects were case subjects and system user subjects. The data was obtained by observation and interview. The results, the web-based and android systems tools were developed by management levels, from the village level, sub-district level, and the District Health Office Sukoharjo and tested at the district, community health center, and village levels. The TB Program's decision support system, it was easier for the parties concerned to see the distribution of TB sufferers in their working area and easy to determine further policies
