Perancangan Rangkaian Smart Trash Bin

One of the efforts to improve the quality of urban environment is smart environment concept that has become one of six of smart city indicators such as smart government, smart economy, smart people, smart mobility, and smart living. Smart environment means an environment that provides comfort, resources, physical and nonphysical beauty, and visual for the people, also students in their schools. This research aimed to apply the concept of smart trash bin in schools. This smart trash bin that detects rubbish based on rubbish group (plastic and metal). In addition, the smart trash bin has a function as education for the students as well. It has explanation about knowledge and how to use the trash bin so the students have awareness to keep environment clean and beauty. The research used Research and Development method from Borg and Gall model. The target of this research was the students in elementary school. The final result of this smart trash bin was a feasibility test product. There will be a test for the students using questionnaire. So that this smart trash bin is effective to improve the knowledge of students about rubbish.

Baby weight and length measurement system has been designed based on ultrasonic and load cell sensors with data storage using MySQL database and website interface. This research aims to produce a baby weight and length measurement system with microcontroller NodeMCU ESP32. The system is designed with an ultrasonic sensor HC-SR04 and four half-bridge load cells of 50 kg. The ultrasonic sensor works on the piezoelectric and inverse piezoelectric principles, while load cell sensors work on strain gauge principles. An ultrasonic sensor measures body length, while a load cell sensor measures body weight. According to the Ministry of Health of the Republic of Indonesia’s regulations, this system also has an LCD 20×4 to display measurement and nutritional status assessment results. The experiment used four doll objects with different lengths and weights. This research shows that the ultrasonic sensor HC-SR04 used in this research has an average error of 0.494% in length measurement. The load cell sensor and HX711 ADC used in this research has an average error of 0.949% in weight measurement. The designed system automatically assesses the nutritional status and stores the measurement result and nutritional status in the database to be displayed on the website.

Waste management remains a major challenge, particularly due to the lack of public awareness and habits in sorting waste from its source. Innovative technology-based solutions are needed to support more effective waste management systems. This study aims to design and develop an Internet of Things (IoT)-based smart trash bin capable of automatically sorting metal and non-metal waste. The system utilizes an ESP32 microcontroller as the main controller, an LJ12A3-4-Z/BY sensor to detect metal materials, an E18 sensor to detect non-metal materials, and an ultrasonic sensor to monitor bin capacity. The waste separation mechanism is operated by a servo motor controlled by the system, while the Blynk application is integrated for real-time monitoring and full-capacity notifications sent directly to the user’s smartphone. The research stages included hardware design, microcontroller programming, IoT platform integration, and functionality testing to ensure system performance and reliability. The results showed that the smart trash bin operated as expected, successfully identifying and separating metal and non-metal waste automatically, while also sending real-time notifications to the user when the bin approached full capacity. The implementation of this technology has the potential to modernize waste management processes, improve the efficiency of waste sorting, and reduce dependency on manual labor. Furthermore, this research opens opportunities for future development by integrating additional sensors and cloud-based data management systems to support smart city initiatives and sustainable waste management practices.

Garbage has always been a problem in Indonesia. One root is the lack interest in throwing them in their proper place. Additionally, the waste that has been disposed is not managed properly. In response to it, the authors designed a trash bin as a Reverse Vending Machine (RVM) with the ability to detect bottles and cans and provide rewards for the person. The machine was able to detect bottles by using the TCRT5000 sensor and cans by using an inductive proximity sensor. Both trashes were also sorted to a specific trash bin directly, and the reward was calculated directly based on the total of bottles and cans put into it. A push button can be pressed to print out the ticket, but it would decline the request when there is no bottles or cans input. In addition, ultrasonic sensors were installed to automatically check the trash bins of the RVM, and LEDs were used to notify the user whether the trash bin of the bottles or cans were already full or not. After 24 attempts of testing, the successful rate was found to be 100%.

Smart Waste Management (SWM) system is a waste management system that tracks the status of fill level of trash bins equipped with ultrasonic sensors and tracks GPS-equipped trash collection trucks. The problems identified are the overflowing trash bins especially in public areas with high population density and the complaints from the residents or public complaints regarding the punctuality of trash collection trucks. The objectives of the project are to design a Smart Waste Management (SWM) system based on Bootstrap platform, develop the system and test its functionality in fulfilling the requirements of the project. The methodological approach selected in this project is the waterfall methodology in which it comprises of four crucial phases: planning and analysis, system design, system implementation and system testing whereby each phase must be completed systematically prior to the commencement of subsequent phase. It is expected that the Smart Waste Management (SWM) system would be able to fulfill all of the project's objectives. This system is aimed to address the problems of overflowing trash bins and public complaints on trash collection trucks. The development of this system brings a huge significance in which operators would be able to know which trash bins require immediate collection and request for immediate dispatch by collection trucks. This method is seen to be more efficient compared to routine collection. Operators would also be able to track the relevant dispatch trucks through this convenient system.

The development of the shipping industry in Indonesia has continued to increase over the past 10 years due to the sabotage principle. This development can be seen from the increasing number of national vessels. The number of national vessels becomes wider from 6,041 units in 2005 to 24,046 units in 2016. The number of vessels makes monitoring the operational performance of the vessel difficult because each ship has different travel routes. This research made tools that can monitor the performance of ships especially the use of MFO aboard the ship. The sensors used to measure the volume of MFO in the tank on board are HC-SR04 ultrasonic sensors and potentiometer pendulum sensors. The data from the sensor was processed by Arduino Uno microcontroller. This study would compare the performance of ultrasonic sensors and potentiometer pendulum sensors mounted on MFO oil premises. The study was conducted by measuring the position of the ship horizontally, right and left tilted with a slope level of 30 degrees and 45 degrees. The result of this research is that the potentiometer pendulum sensor was better when MFO surface condition was flat with the average of error sensor 1.60%, while HC-SR04 ultrasonic sensor has an average of error for 2.87%. However, on the skewed surface conditions of MFO, the usage of HC - SR04 ultrasonic sensors was better with average of error for 3.21%, while the potentiometer pendulum sensor had an average of error for 8.66%.

The government of India aims at “Swachh Bharat Mission” and for that we need smart city with smart streets enabled with smart garbage monitoring system. We see garbage bins around us placed at public places overflowing with due to increase in waste and results into unhygienic conditions for people and leads to deadly diseases. Thus to improve this situation, we proposed this project. In our proposed system, there are multiple smart garbage trash bins on a microcontroller board platform (Arduino Board) located throughout any city or the campus or hospital. The Arduino Board is interfaced with GSM modem and ultrasonic sensor. Once the level of threshold is being crossed, then ultrasonic sensors will trigger the GSM module which in turn continuously alert the authorised person by sending SMS reminder after until the dustbin is cleaned. Beside this, we will also create the central system that will keep showing us the current status of garbage on mobile web browser with html page by wi-fi. With the help of this, we will create shortest path for garbage collection vehicles using Dijkstra Algorithm. This is real time waste management by using smart trash bins that can be accessed anytime anywhere by the concerned person. Keywords: IoT; Smart city; Smart Garbage Bins; Arduino; Ultrasonic Sensors; GSM; Real time Analytics; Route Optimization

A trash can is an indispensable component of human daily life. It is ubiquitous and extremely useful for keeping the city clean. However, littering is a frequent and widespread problem. Not only do humans litter, but so do animals, particularly monkeys. Animals are constantly searching for food, and when we discard our food waste, they are attracted and leave their natural habitats. Following that, the user may forget to lock the trash can, which may end up in the hands of the animal. With the aid of a deep learning system that detects and identifies human subjects, a smart trash bin with an autonomous locking mechanism will be used in this project to reduce animal disturbance. In this paper, Raspberry-Pi 4 module is being used. Moreover, this article describes a human subject identification method and its real-time displacement using the OpenCV library of programming roles, which is primarily aimed at Raspberry Pi with camera module. The smart trash bin system helps to reduce animal disturbance and minimise littering.

Visual impairment significantly hinders daily activities, necessitating innovative solutions. This study develops and tests a smart walking stick using NodeMCU ESP-8266, HCSR-04 ultrasonic sensor, DFPlayer, and GPS, monitored via the Blynk app. Employing a research and development approach, the device demonstrated 100% accuracy in obstacle detection and location tracking, providing real-time feedback through audio notifications and smartphone monitoring. This smart walking stick enhances mobility and safety for visually impaired users, representing a significant advancement in assistive technology. Highlights: Accurate Obstacle Detection: 100% accuracy with HCSR-04 ultrasonic sensor. Real-time Monitoring: GPS tracking via Blynk app. Enhanced Mobility: Increases safety and independence for visually impaired users. Keywords: Visual impairment, Smart walking stick, Ultrasonic sensor, GPS tracking, IoT

Indonesia needs to manage its waste issue effectively and efficiently. Most of the time, waste management is traditionally done with a direct transit system of ambiguous intensity. This study aims to design an Internet of Things (IoT)-based trash monitoring system that includes an Arduino Uno microcontroller, an ultrasonic sensor, a DHT22, and GPS. Each sensor functions to capture filling level, humidity, and waste location. Additionally, it employs the LoRa RFM95 module, a long-distance data transmission medium. The LoRa RFM95 has tested its RSSI (Received Signal Strength Indicator), packet loss, and delay parameters with non-line-of-sight (NLOS) propagation to observe the performance of it. This study used a multi-node sensor application to monitor four trash cans in a large-scale suburban area. The prototype is made up of four nodes and one gateway. The Simple Lora Protocol is implemented on the gateway to avoid data collisions during transmission. Then, the gateway forwards sensor data to Firebase. The stored data in the real-time database is then presented in the Trash Monitor application, making it possible to keep track of any changes in sensor data. This prototype can make the waste management system more effective and efficient by monitoring the trash can’s condition remotely without having to check directly into the trash bin.

Human activity recognition is an important problem in health care, ambient-assisted living, surveillance-based security, etc. and has crucial applications in smart environment. A non-invasive, automated system for monitoring human activity using array of heterogeneous ultrasonic sensors has been proposed in this work. Ultrasonic sensors are widely used for distance measurement in many applications. In the proposed system experiments have been conducted using ten volunteers in a controlled laboratory environment. The data collection unit has two kinds of setups of ultrasonic sensors: the former with five HC-SR04 sensors, and the latter with four HC-SR04 ultrasonic sensors and an LV-MaxSonar-EZ0 sensor. The proposed method is found capable of detecting standing, sitting and falling of a person, and also the movements in different directions. Based on the collected data, we have performed classification analysis using multiple machine learning algorithms. The experimental results show 81% to 90% correct detection of different activities of the volunteers.

The HC-Sr04 ultrasonic sensor (proximity sensor) is a widely used ultrasonic sensor, in addition to its affordable price also because of its easy use and easy installation. Ultrasonic sensors are electronic devices whose ability can convert from electrical energy into mechanical energy in the form of ultrasonic sound waves. HC-SR04 sensor is one of the ultrasonic sensors that is often used to monitor the distance of objects (objects) with sensors. This sensor consists of a series of ultrasonic transmitters called transmitters and ultrasonic receivers called receivers. The distance that can be handled ranges from 2 cm to 400 cm, with a precision level of 0.3 cm. The detection angle that can be handled is no more than 15°. The required current is not more than 2mA and the required voltage is +5V. The number of pins is 4. In this study, the authors used the fuzzy logic method to help classify the level of distance received by the sensor. Fuzzy logic is used because this method is able to determine the classification results of the received values, according to what is needed by the distance measuring device with this ultrasonic sensor.

This study discusses the program of providing trash bins as an effort to overcome pollution of the Barito River in Malawaken Village. The problem of waste polluting the river is mainly caused by the habit of local people to dispose of domestic waste and plastic carelessly. In the framework of the Real Work Lecture (KKN) program, three trash bins were procured which were placed in strategic locations, namely in the village government office, mosque, and prayer room. This program aims to increase public awareness in waste management and maintaining environmental cleanliness. The implementation of the program includes observation, preparation, implementation, and handover of trash bins. The results of this program are expected to increase community participation in maintaining the cleanliness of the river and its surrounding environment.

The railway doorstop system functions to increase the safety of road users and avoid accidents at crossings. This journal discusses the design and implementation of a train doorstop system using Arduino Uno with supporting components such as servo motors, LED lights, resistors and the HC-SR04 ultrasonic sensor. The simulation aims to automate the process of closing and opening gate latches based on the presence of trains, with results demonstrating the effectiveness of the system in improving safety at crossings.

The development of ultrasonic sensor technology used for suitable equipment is widely carried out, such as distance sticks for the blind, floor cleaning robots, automatic garbage boxes, height measuring instruments, water volume detectors, automatic dispensers, automatic hand sanitisers, etc. During the COVID-19 pandemic, a product that can be used to limit the distance between humans is needed, so this research is focused on products for measuring distances with ultrasonic sensors. The research design method used is research and development, using the Borg and Gall approach, with step information collecting, planning, development, testing, final product and implementation. The results of this research product are designed using Arduino nano v3 hardware, battery, buzzer, and ultrasonic sensor HC-SR04. Product design was registered with Industrial Design Intellectual Property Rights with registration number A00202102408. The results of measuring the quality of the ultrasonic sensor for measuring distances on flat objects show an average error percentage of 2.94% from 10 cm to 300 cm with a distance range of 10 cm. Tests on obstacle objects (humans) at an angle of zero degrees and 15 degrees showed the best farthest measuring distance at a distance of 150 cm. So 150 cm is the best distance to apply to the hat COVID-19 reminder. The development results show that the product is ready to continue in production and sales.