Penggunaan Internet of Things Untuk Mendeteksi Tingkat Kebisingan Pengeras Suara di Peron Stasiun MRT Jakarta
DOI:
https://doi.org/10.37367/jpi.v10i1.388Keywords:
Blynk, ESP32, Google Sheets, MAX9814, Speaker, NoiseAbstract
One of the information facilities for passengers at the MRT Jakarta platform for both up track and down track is a loudspeaker system, which is considered a vital information facility at the station. The RSISM team from MRT Jakarta is currently maintaining the noise level of the loudspeakers using a sound level meter, which is a manual process as the measurements are taken one by one. The use of IoT technology is necessary to design a device that measures the noise levels of the loudspeakers. The hardware used in this research includes a MAX9814 sensor, ADC module, OLED, ON/OFF switch, DC charge jack, battery, buzzer, 5V step-down, and ESP32. The software comprises Arduino IDE, Blynk, and Google Sheets. Based on the validation tests using the MAX9814 sensor to measure the noise levels compared to the sound level meter, with a JBL speaker as the sound source and varying volume levels, the following results were obtained: at a distance of 10 cm, the average percentage error was 2.5% and the accuracy percentage was 97.5%; at a distance of 20 cm, the average percentage error was 2.7% and the accuracy percentage was 97.3%; and at a distance of 30 cm, the average percentage error was 2.6% and the accuracy percentage was 97.4%. The application of IoT technology yielded results for monitoring using Blynk, where the data transmission delay from the OLED display to the Blynk application averaged 829.28 ms, which is considered poor. Additionally, the data logger using Google Sheets provided real-time information display, including date, time, and sound level (dB).
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