Pemanfaatan IoT untuk Mendeteksi Dini Kelembaban Kamar Hotel

Joseph Dedy Irawan, Renaldi Primaswara Prasetya, Yudi Limpraptono
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引用次数: 0

Abstract

The pandemic period has greatly affected various business sectors which also resulted in the decreasing income of most people. This is coupled with the implementation of PPKM (Enforcement of Restrictions on Community Activities) in several areas, so that community activities are very limited. One of the impacts of this pandemic is being felt in the hotel business, where many hotels and inns are not selling well and this business has to go out of business. Hotels and inns that can still survive are forced to reduce the number of employees and reduce operational costs, one of which is the cost of room maintenance. Along with the number of vacant rooms due to lack of customers and reduced number of employees, resulting in vacant rooms are rarely opened which will become damp and stuffy. If this is left for a long time will result in the growth of mold in the hotel room, so a process of monitoring temperature and humidity is needed. These problems can be solved by utilizing the Internet of Things (IoT). From the results of testing the temperature and humidity sensor readings using DHT11, the results are quite accurate with an error rate of 1.30% for measuring temperature and 3.79% for measuring humidity. Making an IoT system using Blynk can be done very easily because it does not require programming skills in its manufacture.
很好的利用来检测酒店房间的湿度
疫情期间极大地影响了各个商业部门,也导致大多数人的收入下降。再加上在几个地区实施了PPKM(强制执行对社区活动的限制),因此社区活动非常有限。这场疫情的影响之一体现在酒店业,许多酒店和客栈卖得不好,这项业务不得不倒闭。仍能生存的酒店和客栈被迫减少员工数量,降低运营成本,其中之一就是客房维护成本。随着空置房间数量的增加,由于缺少客户和员工数量的减少,导致空置房间很少开放,会变得潮湿闷热。如果长期放置,会导致酒店房间内霉菌的生长,因此需要监测温度和湿度。这些问题可以通过利用物联网(IoT)来解决。从使用DHT11测试温度和湿度传感器读数的结果来看,结果非常准确,温度测量的误差率为1.30%,湿度测量的误差为3.79%。使用Blynk制作物联网系统非常容易,因为它在制造过程中不需要编程技能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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审稿时长
24 weeks
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