IMPROVING MEAT EXPIRATION TIME PREDICTION USING THE INTERNET OF THINGS AND POLYNOMIAL REGRESSION

Abstract

The meat's expiration time has a vital role for the consumer. Usually, the consumer will process the meat before the expiration time passes. However, most of the sellers in the traditional market did not put the expiration time. Even if it exists like in the modern market, the expiration time is determined by the Standard Operational and Procedure (SOP), which is that the meat must be sold within three days. Nevertheless, this expiration time determined by the SOP usually did not match with the meat's actual condition. Hence, the consumer usually misses to process meat and produce food waste. Therefore, this study proposed a device based on the IoT and Polynomial Regression to predict the meat's expiration time. The proposed device predicts the meat's expiration time based on the level of NH₃ produced by the meat. The detected level of the NH₃ will be sent to the server and is processed using the polynomial regression. The results can then be accessed using an Android application. From 30 sets of experiment data, the proposed device achieves 0.947 for data testing with an error of 0.18% and RMSE about 0.86