The Effectiveness of the Si-DBD Application in Increasing the Number of Households in Conducting Periodic Larvae Examination at the Health Center in Bantaeng Regency

Background: Vector-borne diseases, namely DHF, are estimated to infect 100-400 million people each year. Until now there is no specific drug or vaccine for DHF that can be done to avoid or prevent mosquitoes, which focuses on prevention efforts by eradicating mosquito nests. This study aims to see the effectiveness of the application system in carrying out periodic inspections by households. Method: Quasi-experimental research type with design "The Nonrandomized Control Group Pretest Posttest Design”. There are 112 samples with a ratio of 1:1 treatment (application system) and control (manual). Data collection using observation sheets (secondary data) and data from larvae inspection results through the application. Seeing the difference before and after the Mc test. Nemar and Chi-Square to see the difference between the treatment and control groups. Results: Periodic larvae inspection by the household before and after manually had no difference, while the system with the application had a significant difference with a value of P=0.000. The comparison between the treatment and control groups with a value of P = 0.000 indicates that there is a difference in the number of households that carry out periodic larva inspections through an application compared to the manual method. The system with the Si-DBD application is simpler, more acceptable, and timelier in carrying out periodic larvae inspections by households with a value of P=0.000. Conclusion: The implementation of periodic larvae inspections that is modeled by an application-based information system via a smartphone has an influence on the number of households that carry out larvae inspections compared to the manual system that is running. Follow-up testing can be carried out on a large scale of household respondents covering the entire work area of the health center and with a cohort research design.