Tilt Building (TB) Gun-an Arduino Nano Based Device for Detecting Building Inclination

The inclination of a building can be a serious issue that has the potential to be fatal if not addressed correctly from the beginning. The purpose of this research is to design and build the Tilt Building Gun (TB Gun) as a portable device for detecting building inclination that can be easily used anywhere. The research methodology includes literature review, hardware design, software design, testing and data collection, data analysis, and report creation. The test results of ultrasonic sensor 1 for horizontal direction yielded an accuracy value of 99.06% and a relative error of 0.94%. Meanwhile, the testing results of ultrasonic sensor 2, with an additional distance of 13.1 cm (distance between ultrasonic sensor 1 and ultrasonic sensor 2 to the ground surface) for vertical direction, resulted in an accuracy of 96.29% and a relative error of 3.71%. Subsequently, testing the building inclination angle with a horizontal distance of 25 cm for ultrasonic sensor 1 and a vertical distance of 20 cm for ultrasonic sensor 2 yielded an accuracy of 98.86% and a relative error of 1.14%. The building inclination angle data is then displayed on the OLED.

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Publication Details

Journal
Physics Education Research Journal
Published
2024-12-25
DOI
https://doi.org/10.21580/perj.2024.6.2.20351
Primary Topic
IoT-based Smart Home Systems
Type
article
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article

Tilt Building (TB) Gun-an Arduino Nano Based Device for Detecting Building Inclination

Agus Sudarmanto
Physics Education Research Journal
IoT-based Smart Home Systems
article

Tilt Building (TB) Gun-an Arduino Nano Based Device for Detecting Building Inclination

Agus Sudarmanto
article en

Abstract

The inclination of a building can be a serious issue that has the potential to be fatal if not addressed correctly from the beginning. The purpose of this research is to design and build the Tilt Building Gun (TB Gun) as a portable device for detecting building inclination that can be easily used anywhere. The research methodology includes literature review, hardware design, software design, testing and data collection, data analysis, and report creation. The test results of ultrasonic sensor 1 for horizontal direction yielded an accuracy value of 99.06% and a relative error of 0.94%. Meanwhile, the testing results of ultrasonic sensor 2, with an additional distance of 13.1 cm (distance between ultrasonic sensor 1 and ultrasonic sensor 2 to the ground surface) for vertical direction, resulted in an accuracy of 96.29% and a relative error of 3.71%. Subsequently, testing the building inclination angle with a horizontal distance of 25 cm for ultrasonic sensor 1 and a vertical distance of 20 cm for ultrasonic sensor 2 yielded an accuracy of 98.86% and a relative error of 1.14%. The building inclination angle data is then displayed on the OLED.

Physics Education Research JournalVol. 6(2)
Walisongo State Islamic University (ID)
Sustainable cities and communities
Openalex Percentile: Top 78%
IoT-based Smart Home Systems
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