Imam Pambudi Utomo, Fauziah Fauziah, Nur Hayati
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摘要

2019冠状病毒病大流行迫使我们遵守卫生协议。因此,使人们更加小心,不要直接接触,其中之一就是不要打开和关闭经常与许多人一起使用的垃圾桶。有时人们也懒得打开垃圾桶的盖子,让垃圾坐在垃圾桶的盖子上,这样它就散落了,可以成为各种疾病的巢穴。本研究的目的是使智能垃圾桶自动开启和关闭,并找出智能垃圾桶中的可用容量。超声波传感器有最小和最大限制,传感器范围为0-30厘米,探测人智能垃圾桶将自动打开,如果超过范围限制,智能垃圾桶将不打开。如果传感器检测到,但智能垃圾桶已满,则不会打开。在智能垃圾高度25cm的范围内确定智能垃圾容量在LCD上的状态,如果智能垃圾容量为10-100%则为可用,如果LCD状态小于10%则为满。使用模糊逻辑算法确定距离精度等级(cm)的规则。结果值为距离为17.5-25cm的状态为可用状态,如果距离为10-17.5cm的状态为可用状态,如果距离为2.5-10cm的状态为可用状态,如果距离为0- 2.5 cm的状态为可用状态。利用rapidminer软件对Naïve贝叶斯算法的准确率进行了测试,结果表明该伺服电机的准确率为87.33%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Trash Menggunakan Sensor Ultrasonik dan Arduino Uno Berbasis IoT
The Covid-19 pandemic has forced us to adhere to health protocols. Thus, making people more careful not to come into direct contact, one of which is by not opening and closing trash cans that are often used together with many people. Sometimes people are also lazy to open the lid of the trash can and let the garbage sit on the lid of the trash can so that it is scattered and can become a nest of all kinds of diseases. The purpose of this research is to make the smart trash can open and close automatically and find out the available capacity in the smart trash. The ultrasonic sensor has a minimum and maximum limit with a sensor range of 0-30 cm detecting people the smart trash will automatically open, if it exceeds the range limit the smart trash will not open. If it is detected by the sensor but the smart trash is full, it will not open. In the range of the smart trash height of 25cm to determine the status of the smart trash capacity on the LCD, if the smart trash capacity is 10-100% then it is available, if the LCD status is less than 10% then it is full. The Fuzzy Logic algorithm is used to determine the rules for the level of distance accuracy (cm). The resulting value is a distance of 17.5-25cm status is available, if a distance of 10-17.5cm status is available, if a distance of 2.5-10cm status is available, if a distance is 0-2 ,5cm full state. On the accuracy of the Naïve Bayes algorithm using rapidminer software that the accuracy of the success of the servo motor is 87.33%.
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