Aplikasi Sensor Getar berbasis Ba0,625Sr0,375TiO3 Didadah Cu pada Sistem Monitoring Getaran dengan IoT

Abstract

HERLAMBANG NURASYID RAMDHANI. Aplikasi Sensor Getar berbasis Ba0,625Sr0,375TiO3 Didadah Cu pada Sistem Monitoring Getaran dengan IoT. Dibimbing oleh IRZAMAN. Penelitian ini berhasil mengembangkan sistem monitoring getaran berbasis Internet of Things (IoT) menggunakan sensor piezoelektrik Ba0,625Sr0,375TiO3 yang didadah Cu. Sistem ini telah terintegrasi secara fungsional dengan modul ADS1115, mikrokontroler ESP32, dan platform cloud InfluxDB, menunjukkan kemampuan sensor dalam menghasilkan sinyal analog berupa perubahan tegangan akibat stimulus mekanik. Dengan rentang tegangan 50 – 600 mV, threshold 150 mV, dan debounce 200 ms, sistem efektif menyaring noise dan mencegah pencatatan pulse ganda. Hasil pengujian komparasi menunjukkan bahwa sensor tanpa pendadahan Cu (0% Cu) memberikan performa optimal (rata-rata 55 PPM, 334 mV), meskipun fluktuasi sinyal masih besar. Penambahan 0,5% Cu meningkatkan sensitivitas dan korelasi PPM-tegangan, sementara 1% Cu menghasilkan energy gap yang paling stabil (4,13 – 4,17 eV) namun cenderung jenuh pada getaran tinggi. Secara keseluruhan, sistem ini terbukti menjadi platform yang efisien dan terukur untuk pemantauan getaran. Kata kunci: Barium Strontium Titanate (BST), Internet of Things (IoT), ESP32, Detak Jantung, Sensor Getaran.

HERLAMBANG NURASYID RAMDHANI. Application of Vibration Sensor based on Ba0.625Sr0.375TiO3 Contained Cu on Vibration Monitoring System with IoT. Supervised by IRZAMAN. This research successfully developed an Internet of Things (IoT)-based vibration monitoring system using a piezoelectric sensor made of Ba0.625Sr0.375TiO3 doped with Cu. The system has been functionally integrated with an ADS1115 module, an ESP32 microcontroller, and the InfluxDB cloud platform, demonstrating the sensor's ability to generate analog signals in the form of voltage changes due to mechanical stimuli. With a voltage range of 50-600 mV, a 150 mV threshold, and a 200 ms debounce delay, the system effectively filters noise and prevents duplicate pulse recording. Comparative test results indicate that the undoped sensor (0% Cu) exhibited optimal performance (average 55 PPM, 334 mV), despite significant signal fluctuations. The addition of 0.5% Cu enhanced sensitivity and the correlation between PPM and voltage, while 1% Cu yielded the most stable energy gap (4.13-4.17 eV) but showed saturation at high vibrations. Overall, this system proves to be an efficient and scalable platform for vibration monitoring. Keywords: Barium Strontium Titanate (BST), Internet of Things (IoT), ESP32, Heart Rate, Vibration Sensor.