Aziza, Sherly Nur (2025) Rancang Bangun Sistem Pengendalian PH Pada Kolam Ikan Gurami Menggunakan Interval Type-2 Fuzzy Logic Control Untuk Mendukung Sistem Auto Fish Feeder. Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 5009211031-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
5009211031-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only Download (11MB) | Request a copy |
Abstract
Penelitian ini membahas rancang bangun sistem pengendalian pH pada kolam ikan Gurami menggunakan Interval Type-2 Fuzzy Logic Control (IT2FLC) untuk mendukung sistem Auto Fish Feeder. Sistem dikembangkan menggunakan mikrokontroler ESP32 Devkit V1 yang terhubung dengan sensor pH DFRobot SKU SEN0161 v1.1 dan pompa AC yang dikendalikan melalui trafo step-down dengan variasi tegangan 180 V, 200 V, dan 220 V. Sistem fuzzy dirancang menggunakan pendekatan fuzzy tipe-1 dan dikembangkan menjadi IT2FLC dengan menambahkan variasi Footprint of Uncertainty (FoU) sebesar 0.1 hingga 0.5. Pemodelan dilakukan pada software Simulink dan diuji secara closed loop untuk mengetahui performansi dari masing-masing pengendali. Hasil simulasi fuzzy tipe-1 menunjukkan bahwa konfigurasi dengan 3 membership function (MF) memberikan hasil terbaik, dengan rise time sebesar 560.000 detik, settling time 610 detik, maximum overshoot 0.0156%, dan steady-state error 0.02%. Pada sistem IT2FLC, FoU sebesar 0.4 menghasilkan performansi terbaik dengan rise time 560 detik, settling time 610 detik, maximum overshoot 0.0152%, dan steady-state error 0.02%. Evaluasi metrik dilakukan pada kontroler fuzzy tipe-1 dan tipe-2 dengan uji closed loop yang menunjukkan bahwa IT2FLC lebih unggul, terutama pada kondisi awal basa dengan nilai RMSE 0.021, MAE 0.019, dan MAPE 0.238%; serta pada kondisi awal asam dengan RMSE 0.035, MAE 0.031, dan MAPE 0.541%. Implementasi pada real plant menggunakan IT2FLC menghasilkan rise time sebesar 840 detik, settling time 4500 detik, maximum overshoot sebesar 0.16%, dan steady-state error sebesar 0%. Hasil ini menunjukkan bahwa sistem IT2FLC mampu menjaga kestabilan pH kolam ikan Gurami secara otomatis dan adaptif terhadap ketidakpastian lingkungan.
===========================================================================================================================================
This research discusses the design and development of a pH control system for a Gourami fish pond using Interval Type-2 Fuzzy Logic Control (IT2FLC) to support an Auto Fish Feeder system. The system is developed using an ESP32 Devkit V1 microcontroller connected to a DFRobot pH sensor (SKU SEN0161 v1.1) and an AC water pump, which is controlled via a step-down transformer with voltage variations of 180 V, 200 V, and 220 V. The fuzzy system is initially designed using a type-1 fuzzy logic approach and further extended into IT2FLC by introducing Footprint of Uncertainty (FoU) variations ranging from 0.1 to 0.5. Modeling is conducted in Simulink software and tested under closed loop conditions to evaluate the performance of each controller configuration. Simulation results of the type-1 fuzzy logic controller show that using 3 membership functions (MF) yields the best performance, with a rise time of 560 seconds, settling time of 610 seconds, maximum overshoot of 0.0156%, and steady-state error of 0.02%. For the IT2FLC system, the best performance is achieved with an FoU value of 0.4, resulting in a rise time of 560.000 seconds, settling time of 610 seconds, maximum overshoot of 0.0152%, and steady-state error of 0.02%. Quantitative evaluation metrics from the closed loop test indicate that IT2FLC outperforms the type-1 controller, especially under basic initial conditions with RMSE of 0.021, MAE of 0.019, and MAPE of 0.238%; and under acidic initial conditions with RMSE of 0.035, MAE of 0.031, and MAPE of 0.541%. Implementation on the actual plant using IT2FLC yields a rise time of 840 seconds, settling time of 4500 seconds, maximum overshoot of 0.16%, and steady-state error of 0%. These results demonstrate that the IT2FLC system is capable of maintaining pH stability in a Gourami fish pond automatically and adaptively in the presence of environmental uncertainty.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Auto Fish Feeder, Interval Type-2 Fuzzy Logic Control, pH |
| Subjects: | Q Science > QA Mathematics > QA9.64 Fuzzy logic |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis |
| Depositing User: | Sherly Nur Aziza |
| Date Deposited: | 04 Aug 2025 07:03 |
| Last Modified: | 04 Aug 2025 07:03 |
| URI: | http://repository.its.ac.id/id/eprint/124957 |
Actions (login required)
 |
View Item |