Integrasi IoT dan Katalis Edge Computing untuk Mitigasi Kebisingan Elektronik

The rapid proliferation of Internet of Things (IoT) devices has introduced significant challenges, particularly in managing electronic noise, which can degrade system performance and data accuracy. This study explores the integration of IoT with edge computing as a novel approach to mitigate electronic noise. By leveraging edge computing, data processing is performed locally, reducing transmission distances and enhancing real-time noise reduction. The research employs a combination of field experiments and computational simulations to evaluate the effectiveness of this integration. Key metrics such as noise reduction level, system latency, energy efficiency, and signal quality were measured before and after the implementation of noise mitigation technologies. Results indicate a significant reduction in electronic noise, with noise levels decreasing from 75 dB to 55 dB (a 26.67% reduction). System latency improved by 66.67%, dropping from 120 ms to 40 ms, while energy efficiency increased by 30%. Signal quality, measured by Signal-to-Noise Ratio (SNR), improved by 100%, from 10 dB to 20 dB. These findings demonstrate that the integration of IoT and edge computing effectively mitigates electronic noise, enhances system performance, and optimizes energy consumption. The study concludes with recommendations for further optimization of signal processing algorithms and testing in more complex industrial environments.

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Publication Details

Journal
Jurnal Ilmiah Sistem Informasi
Published
2025-05-25
DOI
https://doi.org/10.51903/wpt7q648
Primary Topic
Computer Science and Engineering
Type
article
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article

Integrasi IoT dan Katalis Edge Computing untuk Mitigasi Kebisingan Elektronik

Haikal Nur Rachmanrachim Archaqie, Putri Pratiwi
Jurnal Ilmiah Sistem Informasi
Computer Science and Engineering
article

Integrasi IoT dan Katalis Edge Computing untuk Mitigasi Kebisingan Elektronik

Haikal Nur Rachmanrachim Archaqie, Putri Pratiwi
article en

Abstract

The rapid proliferation of Internet of Things (IoT) devices has introduced significant challenges, particularly in managing electronic noise, which can degrade system performance and data accuracy. This study explores the integration of IoT with edge computing as a novel approach to mitigate electronic noise. By leveraging edge computing, data processing is performed locally, reducing transmission distances and enhancing real-time noise reduction. The research employs a combination of field experiments and computational simulations to evaluate the effectiveness of this integration. Key metrics such as noise reduction level, system latency, energy efficiency, and signal quality were measured before and after the implementation of noise mitigation technologies. Results indicate a significant reduction in electronic noise, with noise levels decreasing from 75 dB to 55 dB (a 26.67% reduction). System latency improved by 66.67%, dropping from 120 ms to 40 ms, while energy efficiency increased by 30%. Signal quality, measured by Signal-to-Noise Ratio (SNR), improved by 100%, from 10 dB to 20 dB. These findings demonstrate that the integration of IoT and edge computing effectively mitigates electronic noise, enhances system performance, and optimizes energy consumption. The study concludes with recommendations for further optimization of signal processing algorithms and testing in more complex industrial environments.

Jurnal Ilmiah Sistem InformasiVol. 4(2)
Universitas Sains dan Teknologi Komputer
Openalex Percentile: Top 93%
Computer Science and Engineering
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Integrasi IoT dan Katalis Edge Computing untuk Mitigasi Kebisingan Elektronik — Haikal Nur Rachmanrachim Archaqie, Putri Pratiwi · Jurnal Ilmiah Sistem Informasi (2025) | TGRS Research Map | TGRS