THE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT)

A device for refilling dish soap or liquid refill station has been designed which aims to reduce plastic waste from dish soap containers. The tool works equipped with 2 pumps and a water flow sensor. So that customers can choose the volume and type of dish soap they want to buy from the 2 available...

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Main Author: Nurrahmawati, Aminah
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/68110
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:68110
spelling id-itb.:681102022-09-07T08:30:21ZTHE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT) Nurrahmawati, Aminah Indonesia Theses liquid refill station, water flow sensor, Near Field Communication (NFC) reader PN532, Arduino Mega 2560, Raspberry Pi 3, NodeRED, Grafana, linear regression, determination coefficient INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/68110 A device for refilling dish soap or liquid refill station has been designed which aims to reduce plastic waste from dish soap containers. The tool works equipped with 2 pumps and a water flow sensor. So that customers can choose the volume and type of dish soap they want to buy from the 2 available brands. The selection of the brand and volume of dish soap is done by pressing the preset keypad character. Payment for product purchases is made using Near Field Communication (NFC) reader PN5322 technology and a Mifare card. With this Mifare card, customers can also top up their balance for payment. Data processing uses Arduino Mega 2560 which is connected serially with RaspberryPi 3 B as a mini computer to run the entire program. All purchase data in the form of customer ID, brand of laundry soap purchased, volume of laundry soap purchased and date of purchase and remaining volume in the tank are sent to the MySQL database via the NodeRED platform which has been installed on the Raspberry Pi 3B and connected to the Arduino Mega 2560. the residual volume in the tank is monitored and displayed on the Grafana dashboard. Prediction of the time-out of dish soap volume in the tank is done using linear regression. With the independent variable in the form of time (days) of purchase and the dependent variable in the form of the remaining volume of dish soap on the tank. Prediction uses training data taken from the remaining volume data in the tank when it is first filled until it is first used up. From the training data, it was found that the coefficient of determination R2 = 0.99 for the first and second brands. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description A device for refilling dish soap or liquid refill station has been designed which aims to reduce plastic waste from dish soap containers. The tool works equipped with 2 pumps and a water flow sensor. So that customers can choose the volume and type of dish soap they want to buy from the 2 available brands. The selection of the brand and volume of dish soap is done by pressing the preset keypad character. Payment for product purchases is made using Near Field Communication (NFC) reader PN5322 technology and a Mifare card. With this Mifare card, customers can also top up their balance for payment. Data processing uses Arduino Mega 2560 which is connected serially with RaspberryPi 3 B as a mini computer to run the entire program. All purchase data in the form of customer ID, brand of laundry soap purchased, volume of laundry soap purchased and date of purchase and remaining volume in the tank are sent to the MySQL database via the NodeRED platform which has been installed on the Raspberry Pi 3B and connected to the Arduino Mega 2560. the residual volume in the tank is monitored and displayed on the Grafana dashboard. Prediction of the time-out of dish soap volume in the tank is done using linear regression. With the independent variable in the form of time (days) of purchase and the dependent variable in the form of the remaining volume of dish soap on the tank. Prediction uses training data taken from the remaining volume data in the tank when it is first filled until it is first used up. From the training data, it was found that the coefficient of determination R2 = 0.99 for the first and second brands.
format Theses
author Nurrahmawati, Aminah
spellingShingle Nurrahmawati, Aminah
THE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT)
author_facet Nurrahmawati, Aminah
author_sort Nurrahmawati, Aminah
title THE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT)
title_short THE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT)
title_full THE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT)
title_fullStr THE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT)
title_full_unstemmed THE DESIGN OF LIQUID REFILL STATION FOR DISH SOAP PRODUCT BASED ON INTERNET OF THINGS (IOT)
title_sort design of liquid refill station for dish soap product based on internet of things (iot)
url https://digilib.itb.ac.id/gdl/view/68110
_version_ 1822933545250717696