Iot-Based Smart Trash Monitoring Using Blynk Application

Poor waste management and lack of public awareness of environmental hygiene, especially if waste is disposed of in the local trash can, causes garbage to accumulate and emit bad odors which can be a source of disease transmission. The lack of information technology for waste management by janitors can cause slow waste disposal. Based on these problems, it is necessary to equip an automatic trash can with a monitoring function in real time. Added the IOT (Internet of Things) function, which can provide initial information indicating that the trash can is full and can be quickly picked up by the garbage collector. The smart trash can prototype uses an ESP 32 microcontroller as a system control. Servo to control the trash can cover. The output of DF Player is in the form of thanks to people who throw garbage in its place. Ultrasonic sensors can detect human presence and waste volume and send monitoring results in real time as well as notifications to the blynk application as a notification if the trash can is full.


I. INTRODUCTION
Garbage is an unavoidable problem. If left unchecked, it will have an impact on the environment becoming dirty and unhealthy. The impact that will occur on the environment if waste management is not completed effectively and efficiently will result in the environment becoming dirty and unhealthy for the survival of the surrounding environment.
Management of waste management that is not effective either will cause the accumulation of waste and the increasing accumulation of waste will have a detrimental impact, for example the pile of garbage can emit a bad smell and can be a source of disease transmission A simple example of the waste problem is often encountered in the home, school, or office environment where garbage can also accumulate around a full trash can, this can happen due to the high volume of waste generated or the lack of cleaners when controlling the trash can. According to Ali Wafi(2019) the lack of public awareness and concern for environmental cleanliness causes the waste problem to remain a serious problem for the government.
With these problems, an early detection and warning tool is needed about the condition of the volume of the trash can that can send information that the trash can is full so that it can be processed quickly to prevent the accumulation of garbage. In this study, the author will design an IoT (Internet of Thing)-based automatic trash bin monitoring system using the HC-SR04 sensor as a distance detector to determine the volume of waste in the trash, then to give notification or notification that the trash can is full, the notification can be seen on the janitor's cellphone using the blynk application on the android platform.

II. METHODS
Tool design includes the design of the physical appearance that will be built as desired. This section consists of mechanical, electrical and software designs that are interconnected to carry out a step-by-step process according to the design. The tool that was built is a smart trash monitoring tool based on the blynk application where the trash can can open itself and when someone has dumped trash in the trash can, the trash can outputs a thank you sound automatically. The height of the trash can and smoke detection can be monitored in real live through the blynk application that has been programmed in the monitoring tool. The following is a schematic drawing of the device circuit. The design of the tool in the design of this smart trash monitoring tool uses a plastic trash can which is mechanically regulated by means of the tool and can still function manually as well. The driver application is used to pull the trash can lever so that the trash can opens automatically and the placement of the entire series is under the trash can. For the design of the software on Blynk, it can monitor the height of the garbage and smoke in life, if the trash can is full, the application will provide a notification that will appear on the task bar of the Android mobile phone that has been set in the Blynk application.

III. RESULTS AND DISCUSSION
The collection and presentation of data is a very important part in making reports or research. Any type of report always uses data in presenting the facts or information contained in the report.
Tool testing aims to find out whether this smart trash monitoring tool works efficiently. In the table below, look for the work error of the tool in a lab test withdata retrieval gradually according to the percentage of battery. The data taken in the laboratory-scale tool troble test is the error of the Smart Trash tool when working. As for here the sample error is taken from several conditions, namely according to the percentage of the battery that supplies the tool when it is working.

Fig.5 Lab error measurement graph
Then a real live test was carried out in a kindergarten school by producing the following data. The data taken in the live tool troble test is the error of the Smart Trash tool while working. Implementation of Smart Trash Monitoring in a Kindergarten School Institution in Cangkringsari Village, Sukodono District. As for here the sample error is taken from several conditions, namely according to the percentage of the battery that supplies the tool when it is working. The following data is generated. Fig.6 Live error measurement graph The author's success when making IoTbased smart trash monitoring using the Blynk application, in terms of how it works and the usefulness of the tool is 90%, all photo evidence is listed as follows.
The advantages and disadvantages of the IoT-Based Smart Trash Monitoring tool using the Blynk Application are as follows: