Sistem Pengawasan Dan Kontrol Kadar Amonia Dengan Metode Logika Fuzzy Dan Canister Filter

Septian, Stephen Aderama (2022) Sistem Pengawasan Dan Kontrol Kadar Amonia Dengan Metode Logika Fuzzy Dan Canister Filter. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Setiap makhluk hidup membutuhkan air bersih yang terjaga kualitasnya. Di penelitian ini menggunakan akuarium dengan air yang selalu dijaga kualitasnya. Dalam hal ini dibutuhkan filter dimana dalam ekosistem akuarium itu terdapat polutan amonia, sehingga filter tersebut mampu memfilter amonia. Proses filtrasi pada akuarium biasanya diaktifkan selama terus menerus. Dibuatlah sistem filtrasi yang dapat melakukan pengawasan secara real-time dan mempertahankan konsentrasi amonia dalam batas normal. Realisasi sistem menggunakan mikrokontroler ESP32, sensor gas amonia MQ-135, dan canister filter yang dilengkapi busa, bio ring, bi oball, batu zeolit dan karbon aktif. Sistem juga terhubung dengan server Blynk yang terhubung ke smartphone. Sistem bekerja dengan cara sensor mendeteksi konsentrasi amonia, data yang didapat diumpankan ke mikrokontroler ESP32 untuk diproses. Hasil dari pemrosesan logika fuzzy akan mengontrol canister filter dan data monitoring akan dikirimkan ke server Blynk. Dengan media WiFi data konsentrasi amonia akan dikirimkan ke smartphone. Sistem akan menyala setiap 15 menit dengan waktu 5 menit untuk memperbarui pembacaan sensor. Pada setiap satu jam pompa akan menyala sesuai konsentrasi amonia. Berdasarkan pengujian yang telah dilakukan dalam 45 menit canister filter dapat mengurangi amonia sebesar 0,6 ppm. Pengujian keefektifan canister filter menghasilkan pengurang konsentrasi amonia rata-rata sebesar 0,013 setiap menit. Didapatkan bahwa data pembacaan sensor terlihat pada smartphone secara real-time dan juga terdapat riwayat pembacaan sebelumnya. Didapatkan pula pada akuarium dengan ukuran 40 cm x 28 cm x 25 cm sistem dapat menjaga konsentrasi amonia pada 0,1 ppm. Sistem ini dapat ditingkatkan dengan pemilihan selang yang tepat agar filter dapat bekerja lebih cepat, selain itu penggunaan sensor tambahan atau sensor lain yang lebih sensitif juga dapat meningkatkan kepekaan sistem.
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Every living thing needs clean water that is maintained in quality. In this study, an aquarium with water quality is always maintained. In this case, a filter is needed where in the aquarium ecosystem there is ammonia pollutant, so that the filter is able to filter ammonia. The filtration process in the aquarium is usually activated continuously. A filtration system is made that can carry out real-time monitoring and maintain ammonia concentrations within normal limits. The realization of the system uses an ESP32 microcontroller, an MQ-135 ammonia gas sensor, and a canister filter equipped with foam, bio ring, bio ball, zeolite stone and activated carbon. The system is also connected to a Blynk server connected to a smartphone. The system works by means of sensors detecting the concentration of ammonia, the data obtained is fed to the ESP32 microcontroller for processing. The results of fuzzy logic processing will control the canister filter and monitoring data will be sent to the Blynk server. With WiFi media, ammonia concentration data will be sent to the smartphone. The system will power on every 15 minutes with 5 minutes to update the sensor readings. At every one hour the pump will turn on according to the concentration of ammonia. Based on the tests that have been carried out in 45 minutes the canister filter can reduce ammonia by 0.6 ppm. Testing the effectiveness of the canister filter resulted in a reduction in the average ammonia concentration of 0.013 per minute. It was found that the sensor reading data is visible on the smartphone in real time and there is also a history of previous readings. Also found in an aquarium with a size of 40 cm x 28 cm x 25 cm the system can maintain the ammonia concentration at 0.1 ppm. This system can be improved by selecting the right hose so that the filter can work faster, besides the use of additional sensors or other sensors that are more sensitive can also increase the sensitivity of the system.

Item Type:	Thesis (Other)
Additional Information:	RSE 629.89 Sep s-1 2022
Uncontrolled Keywords:	Akuarium. Amonia. ESP32. Filter. Sensor Gas. Ammonia. Aquarium. ESP32. Filter. Gas Sensor.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Mr. Marsudiyana -
Date Deposited:	12 Jun 2026 07:42
Last Modified:	12 Jun 2026 07:42
URI:	http://repository.its.ac.id/id/eprint/133778

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