Rancang Bangun Low-Cost MEMS Accelerometer Untuk Deteksi Seismik Pada Wilayah Rawan Gempa

Damayanti, Faradilla (2026) Rancang Bangun Low-Cost MEMS Accelerometer Untuk Deteksi Seismik Pada Wilayah Rawan Gempa. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 2042221004_Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (3MB) | Request a copy

Abstract

Indonesia merupakan negara yang berada di zona tektonik aktif dengan frekuensi gempa bumi yang tinggi. Untuk mengurangi dampak dari kejadian gempa, diperlukan sistem monitoring yang mampu mendeteksi gempa secara real-time dan ekonomis. Penelitian ini bertujuan untuk merancang dan membangun sistem monitoring gempa berbasis sensor MEMS (Micro-Electro-Mechanical Systems) dengan memanfaatkan Arduino GIGA R1 sebagai pusat pemrosesan data. Sistem ini menggunakan sensor thermal MEMS MXR2999E untuk mendeteksi percepatan tanah pada sumbu X dan Y akibat aktivitas seismik. Data yang diperoleh diproses menggunakan FFT untuk mendeteksi kedatangan gelombang primer (P-wave), kemudian ditampilkan secara real-time melalui dashboard berbasis Visual Studio dan Python. Hasil validasi sensor MXR2999E menunjukkan akurasi sebesar 99,05% pada sumbu X dengan error 0,95%, dan akurasi sebesar 78,16% pada sumbu Y dengan error 21,84%. Hasil uji kinerja menggunakan meja gempa dengan variasi amplitudo 10–50 mm selama 1200 detik menunjukkan bahwa sensor mampu mengikuti pola percepatan validator secara linear, meskipun terdapat sedikit under-reading pada amplitudo besar. Analisis time domain menunjukkan bahwa sinyal didominasi oleh komponen frekuensi rendah di bawah 2 Hz, yang relevan dengan karakteristik gelombang seismik. Sistem ini dirancang agar fleksibel, efisien, serta berpotensi dikembangkan lebih lanjut sebagai solusi alternatif dalam sistem peringatan dini gempa bumi di wilayah rawan gempa di Indonesia.
====================================================================================================================================
Indonesia is located in an active tectonic zone with a high frequency of seismic events. To mitigate the impact of earthquakes, a monitoring system capable of detecting ground motion in real-time and at low cost is essential. This research aims to design and develop an earthquake monitoring system based on MEMS (Micro-Electro-Mechanical Systems) sensors, utilizing the Arduino GIGA R1 as the central data processing unit. The system employs the MXR2999E thermal MEMS sensor to detect ground acceleration along the X and Y axes caused by seismic activity. The acquired data is processed using a FFT to identify the arrival of primary waves (P-waves), and subsequently displayed in real-time through a dashboard developed in Visual Studio and Python. Validation results of the MXR2999E sensor demonstrated an accuracy of 99.05% on the X-axis with an error of 0.95%, and an accuracy of 78.16% on the Y-axis with an error of 21.84%. Performance testing using a seismic shaker table with amplitude variations of 10–50 mm over a duration of 1,200 seconds showed that the sensor was capable of following the validator's acceleration pattern linearly, although slight under-reading was observed at larger amplitudes. Time-domain analysis revealed that the recorded signals are dominated by low-frequency components below 2 Hz, which is consistent with the characteristic frequency range of seismic waves. The system is designed to be flexible and efficient, with potential for further development as an alternative solution for earthquake early warning systems in earthquake-prone regions of Indonesia.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Gempa Bumi, PGA, Thermal MEMS, P-Wave, Low-Frequency Signal,Earthquake, Peak Ground Acceleration (PGA), Thermal MEMS, P-Wave, Low-Frequency Signal
Subjects:	Q Science > QC Physics Q Science > QE Geology > QE539.2.S4 Seismic models T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1010 Electric power system stability. Electric filters, Passive.
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Faradilla Damayanti
Date Deposited:	30 Jul 2026 03:04
Last Modified:	30 Jul 2026 03:04
URI:	http://repository.its.ac.id/id/eprint/140160

Actions (login required)

View Item