Nugroho, Muhammad Akbar (2018) Sistem Kontrol dan Monitoring Kadar Amonia untuk Budidaya Ikan yang Diimplementasi pada Raspberry Pi 3-B. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kualitas air berpengaruh terhadap tingkat kesehatan ikan, salah satu hal yang harus dijaga adalah kadar amonia. Kadar amonia yang dibiarkan tinggi akan berbahaya terhadap kesehatan ikan, bahkan dapat menyebabkan kematian. Selain itu kualitas air pada perairan harus tetap dijaga karena dapat berpengaruh terhadap laju pengembangbiakan ikan. Pada penelitian ini telah dirancang dan dibuat sebuah sistem kontrol dan monitoring kadar amonia untuk budidaya ikan yang berguna untuk mengukur kualitas air dalam suatu akuarium. Pada dasarnya pengukuran yang dilakukan pada sistem ini memiliki dua variabel utama yang diukur yaitu; tingkat dari pH air dan kadar amonia. Pada penelitian ini menggunakan dua jenis sensor yaitu sensor pH dan sensor MQ-135 untuk mengukur kadar amonia yang dihubungkan dengan mikrokontroler Arduino dan Single Board Computer Raspberry. Peralatan ini juga dilengkapi dengan teknologi yang berbasis Internet of Things. Hasil pengukuran akan ditampilkan pada aplikasi Smart Phone. Pada sistem ini nilai pH akan dijaga agar tetap netral (6,5 – 7,5). Ketika melebihi batas dari nilai tersebut kontrol otomatis akan bekerja dan menyalurkan cairan asam asetat (CH_3 COOH) menuju akuarium untuk menentralkan nilai pH. Hasil dari pengujian sistem ini menunjukan bahwa sistem dapat melakukan kontrol secara otomatis dan manual. Pada pengukuran data sensor pH memiliki rata-rata kesalahan 1,88%. Pengontrolan manual dari aplikasi terhadap kondisi aktif dan tidaknya aerator dan filter air memiliki delay sekitar 10 detik. Pada segi monitoring sistem dengan delay sekitar 10 detik, dapat dilakukan melalui aplikasi smartphone sehingga dapat menginformasikan jika terdapat kenaikan kadar pH dan amonia yang berbahaya untuk ikan.
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Water quality affects the level of fish health, one of the things that must be maintained is the level of ammonia. If Ammonia level is high, it will be harmful to fish health, and also it can kill the fish. In addition, water quality in the waters must be maintained because it can affect the rate of fish breeding. In this research has been designed and made a system of control and monitoring of ammonia levels for fish farming is useful to measure the quality of water in an aquarium. Basically, the measurements made on this system have two main variables measured which is; levels of pH in the water and ammonia levels. In this research used two types of sensors, pH sensor and MQ-135 sensor to measure ammonia levels associated with Arduino microcontroller and Single Board Computer Raspberry. This research is also equipped with technology based on the Internet of Things. The measurement results will be displayed in the Smart Phone application. In this system will be kept pH value neutral (6,5 - 7,5). When exceeding the limit of the value the automatic control will work and deliver acetic acid liquor (CH_3 COOH) to the aquarium to centralize the pH value. The results of this system test show that the system can perform controls automatically and manually. On the measurement to pH sensor data has an average error of 1.88%. Manual control of activate and deactivate aerators and air filters have delay about 10 seconds. In terms of monitoring the system also has a delay about 10 seconds, it can be done through a smartphone application, so as to increase the pH and ammonia are advantageous for fish.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSE 004.165 Nug s-1 |
| Uncontrolled Keywords: | Amonia, Sensor pH, Internet of Thing, Basisdata |
| Subjects: | T Technology > T Technology (General) > T57.5 Data Processing T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TJ Mechanical engineering and machinery > TJ950 Pneumatic machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2861 Electric relays. Protective relays--Security measures. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.5 Modulation (Electronics), Demodulation (Electronics) |
| Divisions: | Faculty of Electrical Technology > Electrical Engineering > 20201-(S1) Undergraduate Thesis |
| Depositing User: | Muhammad Akbar Nugroho |
| Date Deposited: | 15 Jun 2021 09:22 |
| Last Modified: | 15 Jun 2021 09:22 |
| URI: | http://repository.its.ac.id/id/eprint/54272 |
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