Waste Classifier using Naive Bayes Algorithm

Abstract

In people's daily lives, many things happen such as work, school, and business to buy and sell. In carrying out their activities, the community uses the goods they need and later these community activities will produce waste. This waste should be processed according to the type of waste, but people often equate or collect the waste into a container before it goes into the trash or even throws the garbage into a ditch or river, causing garbage to accumulate in one place because it makes it difficult to sort waste or even waste it to cause flooding because it clogs the drainage channel leading to the river. The aim of the research is to calculate the accuracy of the Naïve Bayes algorithm in classifying waste classifiers. The design of this waste classifier using arduino aims to apply the naive Bayes algorithm in classifying organic, inorganic, and hazardous waste, the naive Bayes algorithm is an algorithm for classification with quite a bit of data training. This tool is designed using Arduino uno r3 with capacitive proximity sensor, $16\mathrm{x}2$ lcd, and data table to look for opportunities or data training. From the results of the waste classification test carried out using this waste classifier, the application of the naive Bayes algorithm in the waste classification tool using Arduino got 28% accuracy in the first test, 57% in the second test, and 71% in the third test. With these results, the naive Bayes algorithm can function or work well for classifying waste in the design of a waste classifier using Arduino.