Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

SISTEM PENGERING SEPATU DAN PEMBUNUH BAKTERI

Authors: Wijaya, Ary;

SISTEM PENGERING SEPATU DAN PEMBUNUH BAKTERI

Abstract

Penelitian ini berfokus pada pengembangan alat pengering sepatu berbasis Internet of Things (IoT) yang efektif untuk mengatasi masalah kelembaban dan pertumbuhan bakteri serta jamur di dalam sepatu. Alat ini dilengkapi dengan sensor kelembaban, sensor suhu, pemanas elektrik, dan lampu UV-C. Teknologi IoT memungkinkan pengguna untuk mengontrol dan memantau alat secara jarak jauh melalui aplikasi smartphone, meningkatkan kemudahan dan efisiensi. Metodologi penelitian yang sistematis mencakup studi kepustakaan, perancangan perangkat lunak, perancangan perangkat keras, pengujian, analisis data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa suhu mempengaruhi laju pengeringan sepatu dan kelembaban, dengan hasil analisis yang mendukung keberhasilan sistem yang dikembangkan.

This research focuses on the development of an Internet of Things (IoT)-based shoe dryer that is effective in overcoming the problem of humidity and the growth of bacteria and fungi in shoes. This tool is equipped with a humidity sensor, temperature sensor, electric heater, and UV-C lamp. IoT technology allows users to control and monitor the tool remotely via a smartphone application, increasing convenience and efficiency. The systematic research methodology includes literature study, software design, hardware design, testing, data analysis, and drawing conclusions. The results of the study indicate that temperature affects the rate of shoe drying and humidity, with the results of the analysis supporting the success of the developed system.

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green