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Journal : Telecommunications, Computers, and Electricals Engineering Journal

OPTIMIZATION OF TRASH BIN USAGE BASED ON INTERNET OF THINGS (IOT) Adrian, Ari; Saleh, Muhammad; -, Syaifurrahman; Supriono, Supriono
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 2, No 1: June 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v2i1.77615

Abstract

Trash is a byproduct of human activity that poses serious challenges in its management. Suboptimal handling can lead to trash spread, create uncomfortable environmental conditions, and produce hazardous gases such as methane, ammonia, and hydrogen sulfide. To address this, an Internet of Things (IoT)-based trash bin optimization system is needed. This system includes monitoring trash height, gases produced by the trash, and trash weight using sensors installed on the trash bin, such as the HC-SR04 ultrasonic sensor, MQ-4 sensor, MQ-135 sensor, TGS2602 sensor, and load cell sensor. Additionally, the system is equipped with an automatic lid system using the MG995 servo motor and Solenoid Lock Door to lock the trash bin when it is full. Specific limits have been set for each trash parameter, and if they exceed these limits, the automatic system will lock the trash bin and send notifications through the Blynk application on a smartphone. Component testing in this research has shown satisfactory results, with high levels of accuracy. Overall, the designed system successfully optimizes the use of trash bins by providing immediate notifications to sanitation workers when the trash bin is full, preventing scattered trash piles, and maintaining the safety and comfort of the surrounding environment.
WATER QUALITY MONITORING AND CONTROL SYSTEM IN FISH CULTIVATION POND USING ARDUINO CLOUD Kusumawijaya, Wahyu; -, Syaifurrahman; Aula, Abqori
Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL) Vol 1, No 3: February 2024
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/telectrical.v1i3.73567

Abstract

Water quality is an important factor in supporting the life of living creatures, one of which is fish. Failure to maintain water quality can result in slower fish growth and can cause mass death. In the process of monitoring water quality, several environmental value are detected, namely water pH, water turbidity and water temperature. With the Internet of Things (IoT), monitoring water quality can be done using the Arduino Cloud application via a smartphone or computer anywhere in real time. These two parameters are given thresholds, the environmental water temperature threshold is between 28 - 30 °C and the water turbidity threshold is between 5 - 50 NTU. If one of the values exceeds the threshold, where the water temperature is higher than 30 °C or below 28 °C, the water turbidity is higher than 50 NTU or below 5 NTU, then a water change will occur as water quality control which starts with draining the water using a solenoid valve, then filling the water using a water pump. The measurement results showed that fish growth for 2 weeks was 17% with maintained water quality and the average percentage of error obtained in water temperature measurements was 0.314% and water turbidity was 2.769%.