臺灣國際科展

HOPE WASTE (House Processor Waste) with IoT (Internet of Things) as a Laundry Liquid Waste Treatment Household Environment

科展類別
臺灣國際科展作品
屆次
2022年
科別
地球與環境科學
學校名稱
MAN SIDOARJO
指導老師
Nur Afifah, S.Pd
作者
Fadlilah Nathania W;Esytu Nailal M;Mas’ulatur Rohmah M.
關鍵字
Laundry Liquid Waste、Biosorbent、IoT

摘要或動機

Washing is one of the things that must be done by every household. Rural and urban communities have to wash clothes every day, to get clean clothes so they can be reused. But it turns out that with many households doing this activity, it will cause side effects that are not good. The impact will worsen the quality of the surrounding water because this activity is not equipped with a waste treatment process, but instead is dumped directly into the nearest ditch or river. As a result, this waste causes water pollution. The chemical compositions contained in detergents are grouped into 3, namely surface active substances ranging from 20-30%, reinforcing agents are the largest detergent components ranging from 70-80% and other ingredients around 2-8%, where surfactants are the main ingredients. cleaning agent in detergent. If not managed properly, it will cause environmental problems in the future. This research was carried out for 4 months at MAN Sidoarjo and Brawijaya University. The research method used was research and development and experiment methods, and data collection techniques using the observation method. From these problems, we offer a solution by making an internet of things-based device which we call HOPE WASTE (House Processor Waste) with IoT (Internet of Things) as the processing of household laundry liquid waste. HOPE Waste is a house-shaped device that functions to treat Laundry Liquid Waste which combines electrocoagulation methods and utilizes Biosorbents, namely Barringtonia Asiatica and Activated Charcoal which are made into powder. Where the Biosorbent content can bind chemicals in laundry liquid waste so that we can combine them using environmentally friendly IoT-based electrocoagulation methods.


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