Prototype Smart Toilet Untuk Mengukur Tingkat Dehidrasi Berdasarkan Warna Urin Berbasis Mikrokontroler (Study Kasus STT-PLN)
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Andrean, Lucky Joudy
Sikumbang, Hengki
Cahyaningtyas, Rizqia
Sikumbang, Hengki
Cahyaningtyas, Rizqia
Subject
Teknik Informatika
Datestamp
2022-09-20 02:21:04
Abstract :
Dehydration is a condition in which there is a lack or loss of excess body fluids. Many young people who ignore the condition of the body are dehydrated or not. This dehydrated body condition can make the body weak, hypotonia, hypotension, lack of concentration, even fainting. From this problem a smart toilet was designed with a robotic concept that could rinse the residual urination automatically and also measure the level of dehydration. To rinse automatically works by reading the distance conditions of objects with the toilet while to measure the level of dehydration based on the color of urine. In this study 5 basic instruments are used, namely the ultrasonic sensor (HCSR04), color sensor (TCS32200), LCD (Liquid Crystal Display), Relay, Arduino. The five basic instruments are arranged and programmed to work so that the smart toilet can rinse and find out the dehydration level automatically. Determination of dehydration using the perceptron method with a color sensor (TCS3200). The Perceptron algorithm is a simple Artificial Neural Network method that uses a training algorithm to classify linearly, which is usually used to classify a certain type of pattern through the learning process. based on the tests conducted, the results of this study showed that the smart toilet prototype successfully categorized the dehydration condition with an accuracy of 75%.
Dehydration is a condition in which there is a lack or loss of excess body fluids. Many young people who ignore the condition of the body are dehydrated or not. This dehydrated body condition can make the body weak, hypotonia, hypotension, lack of concentration, even fainting. From this problem a smart toilet was designed with a robotic concept that could rinse the residual urination automatically and also measure the level of dehydration. To rinse automatically works by reading the distance conditions of objects with the toilet while to measure the level of dehydration based on the color of urine. In this study 5 basic instruments are used, namely the ultrasonic sensor (HCSR04), color sensor (TCS32200), LCD (Liquid Crystal Display), Relay, Arduino. The five basic instruments are arranged and programmed to work so that the smart toilet can rinse and find out the dehydration level automatically. Determination of dehydration using the perceptron method with a color sensor (TCS3200). The Perceptron algorithm is a simple Artificial Neural Network method that uses a training algorithm to classify linearly, which is usually used to classify a certain type of pattern through the learning process. based on the tests conducted, the results of this study showed that the smart toilet prototype successfully categorized the dehydration condition with an accuracy of 75%.
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