Developing an Information System to Predict the Shelf Life of Food Products

Determining the shelf life of food products or their expiry date is one of the most critical food industry processes. However, laboratory data's current calculation process is mostly conducted manually in spreadsheet software, requiring a statistical approach and understanding of shelf life theory. This process is time-consuming, have a higher possibility of human error, and difficult to be used by every food producer. Therefore, this research aimed to develop a web-based system for estimating the shelf life of food products using the Arrhenius method. This system was developed using the Code Igniter framework. The system will store experiment data of food products and process them to generate the shelf life. This system was designed using the waterfall model and was tested with a black-box testing method. The usability analysis of the shelf life estimation system developed was conducted using the System Usability Scale (SUS) method. This analysis was conducted by distributing SUS questionnaires to 30 respondents. The final score obtained from this analysis was 79.75 in the category Acceptable range and got a grade C, which means this system was feasible to be used.