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How to cite (IEEE):
W. Wedashwara, M. Yadnya, I. Sudiarta, I. Arimbawa, & T. Mulyana
"Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR," JOIV : International Journal on Informatics Visualization, vol. 7, no. 1, , pp. 15-21, Mar. 2023.
https://doi.org/10.30630/joiv.7.1.1592
How to cite (APA):
Wedashwara, W., Yadnya, M., Sudiarta, I., Arimbawa, I., & Mulyana, T.
(2023).
Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR.
JOIV : International Journal on Informatics Visualization, 7(1), 15-21.
https://doi.org/10.30630/joiv.7.1.1592
How to cite (Chicago):
Wedashwara, Wirarama, Yadnya, Made, Sudiarta, I Wayan, Arimbawa, I Wayan, AND Mulyana, Tatang.
"Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR" JOIV : International Journal on Informatics Visualization [Online], Volume 7 Number 1 (3 March 2023)
https://doi.org/10.30630/joiv.7.1.1592
How to cite (Vancouver):
Wedashwara W, Yadnya M, Sudiarta I, Arimbawa I, & Mulyana T .
Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR.
JOIV : International Journal on Informatics Visualization [Online]. 2023 Mar;
7(1):15-21.
https://doi.org/10.30630/joiv.7.1.1592
How to cite (Harvard):
Wedashwara, W., Yadnya, M., Sudiarta, I., Arimbawa, I., & Mulyana, T.
,2023.
Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR.
JOIV : International Journal on Informatics Visualization, [Online] 7(1), pp. 15-21.
https://doi.org/10.30630/joiv.7.1.1592
How to cite (MLA8):
Wedashwara, Wirarama, Made Sutha Yadnya, I Wayan Sudiarta, I Wayan Agus Arimbawa, & Tatang Mulyana.
"Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR." JOIV : International Journal on Informatics Visualization [Online], 7.1 (2023): 15-21. Web. 28 Mar. 2023
, https://doi.org/10.30630/joiv.7.1.1592
BibTex Citation Data :
@article{JOIV1592,
author = {Wirarama Wedashwara and Made Yadnya and I Wayan Sudiarta and I Wayan Arimbawa and Tatang Mulyana},
title = {Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR},
journal = {JOIV : International Journal on Informatics Visualization},
volume = {7},
number = {1},
year = {2023},
keywords = {Internet of Things; fuzzy association rule mining; wireless sensor networks.},
abstract = {Prevention of the effects caused by natural disasters such as earthquakes and landslides requires analysis of vibration propagation. In outdoor applications, internet sources such as WIFI are not always available, so it requires alternative data communications such as nRF24l01. The system also requires a portable power source such as solar power. This research aims to develop a vibration propagation analysis system based on the nRF24l01 wireless sensor network and solar power by implementing the fuzzy rule-based regression (FRBR) algorithm. The system consists of two piezoelectric and nrf24l01 vibration sensors. The system also uses a third node equipped with temperature and soil moisture sensors, air temperature and humidity, and light intensity as environmental variables. The evaluation results show the Quality of Services (QoS) results with a throughput of 99.564%, PDR 99.675%, and a delay of 0.0073s. The Fuzzy Association Rule (FAR) extraction results yield nine rules with average support of 0.319 and confidence of 1 for vibration propagation. The availability of solar power was evaluated with an average current value of 0.250A and a voltage of 3.266V. The results of FRBR are based on the propagation of the vibration that propagated and produced a mean square error (MSE) of 0.141 and a mean absolute error (MAE) of 0.165. The correlation matrix and FAR results show that only soil moisture has a major effect on the magnitude and duration of propagation. However, other variables can regress soil moisture with MSE 0.232 and MAE 0.287.},
issn = {2549-9904}, pages = {15--21}, doi = {10.30630/joiv.7.1.1592},
url = {https://joiv.org/index.php/joiv/article/view/1592}
}
Refworks Citation Data :
@article{{JOIV}{1592}, author = {Wedashwara, W., Yadnya, M., Sudiarta, I., Arimbawa, I., Mulyana, T.}, title = {Solar Powered Vibration Propagation Analysis System using nRF24l01 based WSN and FRBR}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {7}, number = {1}, year = {2023}, doi = {10.30630/joiv.7.1.1592}, url = {} }Refbacks
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JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
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is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.