Rancang Bangun Otomatisasi Alat Tampung Air Hujan dan Monitoring Kualitas Air Berbasis Web Menggunakan Metode k-Nearest Neighbor
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Silaen, Rian Hasiando
Rifai, Mochamad Farid
Jatnika, Hendra
Rifai, Mochamad Farid
Jatnika, Hendra
Subject
Teknik Informatika
Datestamp
2022-09-26 06:37:29
Abstract :
Clean water is a basic human need that is used for daily activities. However, as the population increases, the need for water also increases. One method of conserving water resources is Rainwater Storage, however, the increasingly dense community routines in their daily life make monitoring of water quality harder. Conventional rainwater storage also cannot maintain water quality, and only works as a container, which if left to continue can result in the collected rainwater becoming a source of disease and dangerous for users. This research aims to create an automatic rainwater collection system and also water quality monitoring that can control the flow of water that will enter the reservoir, to keep the water entering the reservoir of good quality. In the manufacture of this system, three sensors are used, including a pH sensor, a water turbidity sensor, and a TDS (Total Dissolved Solids) sensor. In determining water quality, the k-Nearest Neighbor (KNN) method is used to classify whether the water is suitable, less feasible, or not suitable for consumption. Data transmission uses the ESP8266 WiFi module, and monitoring data can be viewed on the website. Testing the system using an experimental method, and in testing it is found that this system can classify water quality with an accuracy rate of 70%.
Clean water is a basic human need that is used for daily activities. However, as the population increases, the need for water also increases. One method of conserving water resources is Rainwater Storage, however, the increasingly dense community routines in their daily life make monitoring of water quality harder. Conventional rainwater storage also cannot maintain water quality, and only works as a container, which if left to continue can result in the collected rainwater becoming a source of disease and dangerous for users. This research aims to create an automatic rainwater collection system and also water quality monitoring that can control the flow of water that will enter the reservoir, to keep the water entering the reservoir of good quality. In the manufacture of this system, three sensors are used, including a pH sensor, a water turbidity sensor, and a TDS (Total Dissolved Solids) sensor. In determining water quality, the k-Nearest Neighbor (KNN) method is used to classify whether the water is suitable, less feasible, or not suitable for consumption. Data transmission uses the ESP8266 WiFi module, and monitoring data can be viewed on the website. Testing the system using an experimental method, and in testing it is found that this system can classify water quality with an accuracy rate of 70%.
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