RANCANG BANGUN KONTROL FILTER AIR TANAH BERBASIS IoT DENGAN LOGIKA FUZZY MENGGUNAKAN ESP32

YULIARDI, HELMI (2022) RANCANG BANGUN KONTROL FILTER AIR TANAH BERBASIS IoT DENGAN LOGIKA FUZZY MENGGUNAKAN ESP32. S1 thesis, Universitas Mercu Buana Bekasi.

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Abstract

ABSTRAK Air bersih adalah kebutuhan utama makhluk hidup. Semakin banyak makhluk hidup di satu daerah menimbulkan pencemaran lingkungan dari rumah tangga dan juga industri. Hal tersebut mengakibatkan kualitas air tanah menjadi menurun dan tercemar. Sehingga air perlu diolah dahulu sebelum digunakan untuk kegiatan sehari – hari. Penggunaan filter air sudah umum, kendalanya adalah polutan pada air membuat filter kotor dan mampat. Di pasaran jenis filter air konvensional yang tersedia, tidak dapat mengukur kualitas air, mendeteksi kondisi filter, melakukan backwash otomatis ketika filter kotor serta tidak dapat dipantau di mana saja. Dengan bantuan logika fuzzy, kondisi filter dapat ditentukan serta melakukan backwash jika diperlukan. Dari penelitian yang kami lakukan, sensor Turbidity memiliki response time 120,67 ms dengan ketelitian 2 angka di belakang koma dan TDS memiliki response time 154,33 ms dengan ketelitian 3 angka di belakang koma. Backwash otomatis dengan waktu kurang dari 1 detik. Jarak antara alat dengan akses poin harus kurang dari 6 meter. Pengiriman data ke internet dengan kecepatan kurang dari 1 detik. Kata kunci : ESP32, filter air, kualitas air, TDS sensor, turbidity sensor, flow meter sensor, backwash, internet of things ABSTRACT Clean water is the main need of living things. More and more humans in one area cause environmental pollution from households and industry. This causes the quality of ground water to decrease and become polluted. So the water needs to be treated before it is used for daily activities. The use of water filters is common, the problem is that the pollutants in the water make the filter dirty and clogged. In the market, conventional types of water filters are available, cannot measure water quality, detect filter conditions, perform automatic backwashing when the filter is dirty and cannot be monitored anywhere. With the help of fuzzy logic, filter conditions can be determined and backwash if necessary. From our research, the Turbidity sensor has a response time of 120.67 ms with an accuracy of 2 digits behind the comma and TDS has a response time of 154.33 ms with an accuracy of 3 digits behind the comma. Automatic backwash in less than 1 second. The distance between the device and the access point must be less than 6 meters. Sending data to the internet with a speed of less than 1 second. Keywords: ESP32, water filter, water quality, TDS sensor, turbidity sensor, flow meter sensor, backwash, internet of things

Item Type: Thesis (S1)
Call Number CD: FT/ELK 22 013
NIM/NIDN Creators: 41417320024
Uncontrolled Keywords: Kata kunci : ESP32, filter air, kualitas air, TDS sensor, turbidity sensor, flow meter sensor, backwash, internet of things
Subjects: 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan > 621.3 Electrical Engineering, Lighting, Superconductivity, Magnetic Engineering, Applied Optics, Paraphotic Technology, Electronics Communications Engineering, Computers/Teknik Elektro, Pencahayaan, Superkonduktivitas, Teknik Magnetik, Optik Terapan, Tekn
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: siti maisyaroh
Date Deposited: 20 Dec 2022 09:30
Last Modified: 20 Dec 2022 09:30
URI: http://repository.mercubuana.ac.id/id/eprint/72635

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