MATEC Web Conf.
Volume 197, 2018The 3rd Annual Applied Science and Engineering Conference (AASEC 2018)
|Number of page(s)||6|
|Published online||12 September 2018|
Design of the automatic shoe dryer
Sekolah Tinggi Teknologi Garut, Department of Informatics, Jl. Mayor Syamsu No. 1, Garut, 44151, Indonesia
2 Sekolah Tinggi Teknologi Garut, Department of Industrial Engineering, Jl. Mayor Syamsu No. 1, Garut, 44151, Indonesia
3 UIN Sunan Gunung Djati Bandung, Department of Informatics, Jl. A. H. Nasution No. 105, Bandung, 40614, Indonesia
* Corresponding author: email@example.com
Shoes are parts of basic human needs. Many of them are typically selected based on different needs of the users. There is always a problem related to shoe care. In many cases, people prefer laundry services to take care of their shoes, but it commonly takes a long duration, about one to two days. Another thing is that the drying process is done through direct sunlight exposure, and that can damage the materials and fade the colors. Therefore, this system is designed and implemented to facilitate the process of drying shoes and protect some shoes that cannot be dried using sunlight. The hardware design is featured with control and software, which are then implemented for further analysis to obtain the desired results. The whole system control is derived from the ladder program within the Programmable Logic Control (PLC). To identify shoes that have been dried or ones that cannot be detected by the SHT11 temperature and humidity sensor, which is connected to the ATmega16 microcontroller as a serial data communication. The implementation resulted in a novelty, namely digital automatic shoe drying system without the use of sunlight.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.