Adhwa Alifia Putri, - (2023) RANCANG BANGUN SISTEM PENDETEKSI KADAR GAS AMONIA (NH3) BERBASIS INTERNET OF THINGS MENGGUNAKAN APLIKASI BLYNK: STUDI KASUS PADA WADUK CIRATA. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Kualitas air yang baik menjadi faktor utama untuk menunjukkan kehidupan dan tingkat pertumbuhan perikanan di dalam perairan. Kondisi kualitas air tersebut dapat berpengaruh terhadap ikan yang berkembang di dalam perairan. Adanya kegiatan budidaya ikan dalam Keramba Jaring Apung (KJA) di Waduk Cirata ini mengakibatkan terjadinya penurunan kualitas air waduk, pendangkalan waduk, dan lain-lain. Penyebab menurunnya kualitas air waduk, disebabkan oleh banyaknya limbah organik sisa pakan dan hasil metabolisme ikan dalam budidaya KJA yang terbuang ke dalam perairan. Amonia merupakan zat pengkontaminasi paling umum dalam sistem akuakultur. Tujuan penelitian ini adalah untuk menghasilkan sistem pendeteksi berbasis Internet of Things (IoT) untuk mendeteksi kadar gas amonia dalam air. Sistem pendeteksi yang dihasilkan dikembangkan dengan menggunakan komponen elektronika komersial meliputi sensor MQ-137, Arduino Uno, NodeMCU ESP8266 dan LCD 1602 I2C. Metode yang digunakan yaitu dengan menguji jarak dari permukaan air, jenis air, dan kualitas air pada Waduk Cirata. Hasil pengujian yaitu sistem bekerja lebih baik pada jarak 5 cm dari permukaan air dibandingkan dengan jarak 12 cm dari permukaan air. Dalam air mineral, didapatkan rata-rata 0,1 ppm. Pada cairan pemutih pakaian, didapatkan rata-rata 0,11 ppm. Pada Waduk Cirata, didapatkan hasil rata-rata 0,02 ppm. Dan pada sampel dari Waduk Cirata didapatkan rata-rata 1,185 ppm Beberapa faktor lain dari tidak tepatnya hasil sensor MQ-137 yaitu gangguan angin. Sehingga, sistem lebih ideal untuk dioperasikan dengan jarak yang lebih dekat dari permukaan air dan juga ruang lingkungan sekitarnya tidak terbuka. Sistem yang dihasilkan ini berpotensi untuk diuji pada skala yang luas dan dilakukan uji standar pengukuran pembanding. ----- Good water quality is the major factor in determining fisheries life and growth rate in the waters. The water quality conditions can affect the fish that thrive in the waters. The existence of fish farming activities in floating net cages (KJA) in the Cirata Reservoir decreased reservoir water quality, siltation of reservoirs, and others. The cause of the decline in the quality of reservoir water is thought to be due to the large amount of organic waste left over from feed and the results of fish metabolism in KJA cultivation which are wasted into the waters. Ammonia is the most common contaminant in aquaculture systems. This research aims to produce an Internet of Things (IoT) based detection system to detect ammonia gas levels in water. The resulting detection system was developed using commercial electronic components including the MQ-137 sensor, Arduino Uno, NodeMCU ESP8266, and 1602 I2C LCD. The method used is to test the distance from the water surface, the type of water, and the quality of the water in the Cirata Reservoir. The test results show that the system works better at a distance of 5 cm from the water surface compared to a distance of 12 cm from the water surface. In mineral water, an average of 0.1 ppm is obtained. In liquid clothing bleach, an average of 0.11 ppm is obtained. In the operational environment, an average yield of 0.02 ppm was obtained. And in samples from the Cirata Reservoir, an average of 1.185 ppm was obtained. Several other factors contributed to the inaccuracy of the MQ-137 sensor, namely wind disturbance. Thus, the system is ideal to be operated at a closer distance from the surface of the water and also the surrounding environmental space is not open. The resulting system has the potential to be tested on a wide scale and subjected to standard measurement benchmark tests.
| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | Link Google Scholar : https://scholar.google.com/citations?user=3KrQmawAAAAJ&hl=en&oi=ao https://scholar.google.com/citations?user=oGmhzgoAAAAJ&hl=en&oi=ao ID SINTA Dosen Pembimbing: Syifaul Fuada : 5981677 Endah Setyowati : 6681149 |
| Uncontrolled Keywords: | Gas Amonia, Arduino Uno, NodeMCU ESP8266, Sensor MQ-137, Waduk Cirata |
| Subjects: | L Education > L Education (General) T Technology > T Technology (General) |
| Divisions: | UPI Kampus Purwakarta > S1 Sistem Telekomunikasi |
| Depositing User: | Adhwa Alifia Putri |
| Date Deposited: | 04 Sep 2023 04:06 |
| Last Modified: | 04 Sep 2023 04:06 |
| URI: | http://repository.upi.edu/id/eprint/100603 |
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