AbstractBackground: Radiation therapy services are services that use ionizing and/or non-ionizing radiation as primary and secondary radiation therapy services for cancer or non-cancer patients. The use of ionizing radiation in cancer therapy is an effective and efficient treatment. The Quality of Service Committee at the Hospital determines that the longest waiting time for radiation is 30 working days from the CT Simulator stage until the first radiation is carried out. The process of delineation and planning to determine which organs will be irradiated and minimized from excessive radiation doses also takes time. Then countlatency and control efforts using the application can maintain service quality according to the goals set by the Quality Committee team by providing reminders in the form of messages WhatsApp to the related medical team to increase attention and it is expected to maintain the quality of service for radiation waiting time.
Objective: Producing an effective information system in implementing web application based waiting time service quality control with WhatsApp gateway reminder notifications to improve and maintain the quality of radiotherapy installation services.
Method: This study uses a research and development design or Research and Development (Rnd). Integrating qualitative and quantitative approaches, in testing the feasibility of products using analytical methods, and producing products researchers collect data using descriptive methods, called mix method research (MMR). The research sample consisted of secondary data (without using a web application / comparison) and primary data (using a web application) taken from February to October 2022. Univariate data analysis used Sapphire-Wilk or Kosmogorv-Smirnof. Bivariate analysis was performed Independent sample t-test or Mann-Whitney test to measure the difference between before and after web application usage.
Results: From the results of the data normality test, it was found that the Sig on the waiting time data before using the application was 0.001 and after using the application it was 0.000. Both data have a Sig < 0.05, which means that the data is not normally distributed. Then a non-parametric test statistical analysis was carried out using Mann Whitney with the result Asymp. Sig. (2-tailed) 0.000 < 0.05 which means H0 is rejected and H1 is accepted. It is statistically proven that there is a difference in waiting time before using the application and after using the application.
