Abaadi, Akhmad Fairuz (2024) Rancang Bangun Sistem Monitoring dan Kontrol Salinitas menggunakan Fuzzy Logic Controller pada Sistem Air Budidaya Udang Vaname Terintegrasi Internet of Things. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Proses pemantauan dan pengendalian kualitas air rutin dilakukan pada sistem budidaya perikanan, khususnya budidaya udang vaname pada kolam intensif. Hingga kini, petani budidaya secara intensif masih banyak yang menerapkan sistem tradisional dalam menjaga kualitas air. Beberapa parameter kualitas air yang penting untuk dijaga pada kolam budidaya udang vaname diantaranya adalah kadar oksigen terlarut, kadar salinitas, pH, kekeruhan, Total Dissolved Solid (TDS) amonia, nitrit dan sebagainya. Untuk itu dirancang sebuah sistem kontrol dan monitoring salinitas air pada kolam budidaya udang intensif. Sistem ini menggunakan sensor salinitas berbasis dua batang elektroda, mikrokontroler ESP32, motor driver BTS7960, dan aktuator berupa dua buah pompa celup, untuk suplai air tawar dan asin. Langkah awal dilakukan kalibrasi sensor dengan hasil nilai ketidakpastian sensor Uexp sebesar + 3,199 ppt. Kemudian dilakukan uji karakterisasi aktuator dengan diberi variasi input PWM (Pulse Width Modulation) dengan nilai PWM 50, 100, 150, 200, 255. Dilakukan uji karakteristik plant kolam budidaya selama 24 jam. Pada sistem kontrol. dilakukan uji open loop untuk mengetahui respons salinitas kolam ketika aktuator bekerja mengubah nilai salinitas hingga parameter stabil. Pengujian open loop ini dilakukan pada dua variasi PWM, 255 dan 130. Perancangan fuzzy logic controller mamdani dilakukan untuk diimplementasikan pada sistem kontrol. Pengujian closed loop dilakukan untuk mengetahui performa sistem kendali ketika diberi kontrol logika fuzzy. Parameter performansi dari respons sistem terdiri atas nilai error steady state bernilai 0,786%, maximum overshoot bernilai 8,99%, settling time dicapai dalam waktu 12499 detik, serta rise time sebesar 544 detik. Sistem monitoring salinitas terintegrasi IoT yang dapat dipantau melalui Thingspeak
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The process of monitoring and controlling water quality is routinely carried out in aquaculture systems, especially vaname shrimp farming in intensive ponds. Until now, many intensive aquaculture farmers still apply traditional systems in maintaining water quality. Some important water quality parameters to be maintained in vaname shrimp farming ponds include dissolved oxygen levels, salinity levels, pH, turbidity, Total Dissolved Solid (TDS) ammonia, nitrite and so on. For this reason, a control and monitoring system for water salinity in intensive shrimp farming ponds was designed. This system uses a salinity sensor based on two electrodes, ESP32 microcontroller, BTS7960 motor driver, and actuators in the form of two submersible pumps, for fresh and salty water supply. The initial step is to calibrate the sensor with the results of the Uexp sensor uncertainty value of + 3.199 ppt. Then the actuator characterization test was carried out by being given a variety of PWM (Pulse Width Modulation) inputs with PWM values of 50, 100, 150, 200, 255. Cultivation pond plant characteristics test was carried out for 24 hours. On the control system, an open loop test is carried out to determine the response of the pond salinity when the actuator works to change the salinity value until the parameters stabilize. This open loop test is carried out on two PWM variations, 255 and 130. The design of the mamdani fuzzy logic controller is carried out to be implemented in the control system. Closed loop testing is carried out to determine the performance of the control system when given fuzzy logic control. The performance parameters of the system response consist of a steady state error value of 0.786%, maximum overshoot of 8.99%, settling time achieved in 12499 seconds, and rise time of 544 seconds. IoT integrated salinity monitoring system that can be monitored through Thingspeak.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Fuzzy logic control, Monitoring System, Salinity control, Vaname Shrimp, Kontrol salinitas, kontrol logika fuzzy, sistem monitoring, udang vaname |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic S Agriculture > SH Aquaculture. Fisheries. Angling T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Akhmad Fairuz Abaadi |
| Date Deposited: | 06 Aug 2024 02:20 |
| Last Modified: | 06 Aug 2024 02:20 |
| URI: | http://repository.its.ac.id/id/eprint/112415 |
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