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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Angkasa: Jurnal Ilmiah Bidang Teknologi KURVATEK Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Joko Prasojo
Institut Teknologi Nasional Yogyakarta
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Social Sciences Transportation

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Journal : KURVATEK

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EXPERIMENTAL STUDY OF IOT SENSOR PERFORMANCE FOR BUILDING MOVEMENT MONITORING Sari, Sely Novita; Pratama, Bagus Gilang; Prasojo, Joko
KURVATEK Vol 10 No 2 (2025): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v10i2.6397

Abstract

Real-time monitoring of building movement is essential to mitigate structural damage risks, particularly in earthquake-prone regions. The application of Internet of Things (IoT) technology enables continuous and efficient measurement of structural deformation and inclination through the integration of smart sensors and cloud-based systems. The primary objective of this study is to evaluate the performance of a MEMS-based IoT sensor system in detecting displacement and angular changes in building structures. An experimental laboratory test was conducted by comparing the readings of accelerometer, gyroscope, and inclinometer sensors with standard measuring instruments. Results indicate an average measurement error of 1.58%, a response time of 2.34 seconds, and data transmission reliability of 97.8%, demonstrating high accuracy and stability. The integration of sensors, an ESP32 microcontroller, and a cloud computing platform shows strong potential for implementation as an effective IoT-based Structural Health Monitoring (SHM) system, supporting the development of resilient and sustainable smart infrastructure
Co-Authors Anwar, Gilang Khairul Arif Basuki Asniar Aliyu Bagus Gilang Pratama, Bagus Gilang Dwika Nove Rahmanto Dwika Nove Rahmanto Joko Firdaus Muklis F. Azari Prasojo NUGROHO, TRIYAN WAHYU Oni Yuliani Sely Novita Sari Sudiana Taufik, Tito Tiyastono Trie Handayani, Trie Tugino Wahyu Eko Prasetyo