| Popis: |
Milk collection centers collect raw milk from farmers and measure both its quantity and quality. Both data are used to calculate payments to farmers. Daily operations at the center include quality assessment, i.e. alcohol test, methylene blue test and somatic cell count. Laboratory assessment includes pasteurized count, total solid and somatic cell count. At present, the results of assessment are manually recorded on paper and are then inserted into an Excel file for money calculation. The serious problem with this method is that their errors occur during manual recording, delaying the calculation process because the workers must trace back and correct the errors. This research aims at 1) developing an innovation for milk collection centers by deploying information technology, and 2) reduce error and time during the data collection. We developed an information system following Model View Control (MVC) architecture, which allows for rapid development of the system, and, more importantly, support further scalability in the future. The developed system provides both convenience and precision in the data recording process, and helps reduce errors and time consumption significantly. |
