Design of Garbage Collection Robots In Tourism Area (Beach) With Artificial Neural Network Method

The problem faced by tourism managers in Madura in the form of a bad environment is the problem of waste. This is caused by the behavior of tourists unaware of throwing garbage in its place. The inorganic waste dominates the waste generated from the tourism sector in the form of plastic waste; if accumulated, it can reach ±6 tons/day of the total volume of ±7.6 tons/day. At the same time, the total number of officers is very few ± 44 people. This is very ineffective with such a large amount of waste and a tour operating time of 12 hours/day. Therefore, in this study, a robot can help ease the cleaning staff's work. This robot can recognize bottle trash objects and avoid obstacles in real-time using a camera with an object recognition system on a bottle. In addition, there is an ultrasonic sensor to detect any obstacles in a predetermined tracking area. The object recognition system applied to this garbage collection robot uses the Artificial Neural Network method with a success rate of 93.3%, which indicates that the technique works well on the system.