Andreas Nestor Zendrato
Universitas Prima Indonesia

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Quality of Immunization Reporting of the Sehat Indonesiaku Application and Complete Infant Immunization Coverage Andreas Nestor Zendrato; Ermi Girsang; Sri Lestari Ramadhani Nasution
Indonesian Journal of Global Health Research Vol. 8 No. 6 (2026): Indonesian Journal of Global Health Research: December 2026
Publisher : GLOBAL HEALTH SCIENCE GROUP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37287/ijghr.v8i6.2841

Abstract

Immunization requires a quality recording and reporting system so that coverage information reflects actual service conditions. The Sehat Indonesiaku (ASIK) application is used as a digital system to support immunization recording and reporting, but in Gunungsitoli City there are still differences between ASIK data and manual recording and variations in coverage between regions. To analyze the relationship between the quality of ASIK-based immunization reporting and complete infant immunization coverage in the work area of UPTD Puskesmas within the scope of Gunungsitoli City in 2026. Observational quantitative analytical research with a cross-sectional design was conducted on 101 villages/sub-districts in the working area of eight UPTD Puskesmas Gunungsitoli City with total sampling techniques. Data were obtained through document audits, observations, officer clarifications, and secondary data from ASIK, immunization registers, infant/toddler cohorts, program recapitulation, target data, and officer data.. The analysis used Pearson correlation and hierarchical multiple linear regression by controlling for the number of health workers, internet access, and workload ratio. 54.5% of regions had adequate reporting quality, while infant complete immunization coverage in aggregate was 35.5%. The total score of reporting quality was positively and significantly related to immunization coverage (r=0.867; p<0.001). Completeness, timeliness, accuracy, and consistency were also significantly related (p<0.001). The regression model showed R²=0.752. Improving the quality of digital recording, reconciliation with source documents, and monitoring data quality are needed to support data-based immunization program decision-making.