Abstract
The classification of water quality is vital to ensure that the water has been properly utilized. As of today, the water treatment plant employs a conventional method by taking water sample, measuring all of water quality parameters, and analyzing each sample. Besides, the conclusion-drawing processes have not been incorporated which might lead to water quality misclassification and prolonged efforts. In this study, an expert system was developed to monitor the water quality in real time fashion, therefore it could be accessed anytime and anywhere. The water quality analysis process was conducted by means of fuzzy classifier, and implemented on Arduino Mega 2560 board. The fuzzy inputs included pH value, total dissolved solid (TDS), and turbidity. A fuzzy inference system was employed to classify the water quality into three classes, namely good (meet the hygiene standards), fair, and poor (polluted). The expert system successfully yielded the inference results with a success rate of 100%. The water quality monitoring and classification could be accessed online through Internet of Things (IoT) platform Thingspeak.
Highlights
Abstrak— Klasifikasi kualitas air sangat diperlukan untuk memastikan penggunaan air yang diuji sudah sesuai peruntukannya
vital to ensure that the water has been properl
been inc orporated whic h might l ead to water quality miscl assific ation
Summary
Air adalah kebutuhan utama yang dibutuhkan untuk keperluan sehari-hari manusia. Air yang digunakan harus memenuhi persyaratan yang diatur pada Peraturan Menteri Kesehatan Republik Indonesia No 32 tahun 2017 mengenai Standar Baku Mutu Kesehatan Lingkungan dan Persyaratan Kesehatan Air bagi Keperluan Higiene Sanitasi, seperti yang ditunjukkan pada Tabel I [1]. Sensor parameter tersebut digunakan bersama mikrokontroler untuk mendapatkan nilai kualitas air yang ditamp ilkan pada ko mputer menggunakan kabel [2] - [4]. Telah dilakukan beberapa penelitian dan realisasi alat pemantau kualitas air yang berbasis IoT. Dilakukan suatu pemantauan air dengan menggunakan IoT pada beberapa parameter seperti pH, aliran air, dan kelembaban tanah. Parameter tersebut men jadi masukan bagi sistem pakar berbasis fuzzy untuk mengklasifikasikan kualitas air men jadi tiga ke las yaitu: ba ik (me menuhi baku mutu), biasa, dan buruk (tercemar). Hasil klasifikasi yang telah dihasilkan kemudian ditamp ilkan pada platform IoT ThingSpeak sehingga dapat diakses oleh pengguna kapanpun dan di manapun
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